AN INVESTIGATION OF ALGORITHM JUSTIFICATION IN ELEMENTARY SCHOOL MATHEMATICS by Marian S. Weinstein B.A., Adelphi University , 1968 M.A., University of B r i t i s h Columbia, 1971 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF EDUCATION i n the Department of Education We accept t h i s thesis as conforming to the required standard THE UNIVERSITY OF BRITISH COLUMBIA January, 1973 In p r e s e n t i n g this thesis in p a r t i a l f u l f i l m e n t o f the requirements f o r an advanced degree at the U n i v e r s i t y of B r i t i s h Columbia, I agree the L i b r a r y s h a l l make i t f r e e l y a v a i l a b l e f o r r e f e r e n c e and I f u r t h e r agree t h a t p e r m i s s i o n f o r e x t e n s i v e f o r s c h o l a r l y purposes may by h i s r e p r e s e n t a t i v e s . written gain permission. Department of The U n i v e r s i t y o f B r i t i s h Columbia Vancouver 8, Canada shall not thesis Department o r I t i s u n d e r s t o o d that c o p y i n g o r of this thesis for financial study. copying o f t h i s be g r a n t e d by the Head o f my that publication be a l l o w e d w i t h o u t my Abstract Chairman: Dr. G a i l J . S p i t l e r I t was the purpose of t h i s study to determine by experimental procedures whether there are any s i g n i f i c a n t differences either i n computational s k i l l with an algorithm or i n a b i l i t y to extend that algorithm among elementary school pupils taught a mathematical algorithm by d i f f e r e n t methods of j u s t i f i c a t i o n . The four types of j u s t i f i c a t i o n methods were: pattern, algebraic, pattern followed by algebraic, and algebraic followed by pattern. A pattern j u s t i f i c a t i o n i s one based on an analog to two-dimensional phyiscal actions, whereas an algebraic j u s t i f i c a t i o n i s one based on the algebraic principles f o r r a t i o n a l numbers, as w e l l as the rules of l o g i c . Differences i n performance among treatment groups were examined forefour algorithms varying i n both mathematical operation accomplished of the algorithm. by the algorithm and i n complexity The l a t t e r i s determined by the number of steps and processes required f o r i t s execution. The two simple algorithms were m u l t i p l i c a t i o n of a f r a c t i o n and a mixed number and comparison of f r a c tions using the cross-product r u l e . The two complex algorithms were conversion of a f r a c t i o n to a decimal and c a l c u l a t i o n of the square root of a f r a c t i o n . Three classes were given a s t r i c t l y pattern j u s t i f i c a t i o n , three a s t r i c t l y algebraic j u s t i f i c a t i o n , one a pattern followed by algebraic j u s t i f i c a t i o n , and one an algebraic followed by pattern j u s t i f i c a t i o n f o r one simple and one complex algorithm. The same assignment was made f o r the other simple and complex algorithm p a i r . In t o t a l , 16 grade f i v e classes participated i n the experiment. The r e s u l t s of the multiple analysis of covariance indicated no s i g n i f i c a n t differences i n the case of a l l four algorithms tested among the comparisons between students taught by a s t r i c t l y pattern approach and students taught by a s t r i c t l y algebraic approach. However, there i s evidence to indicate that students taught by an algebraic approach, as a group, tend to do better on extension tests than t h e i r pattern taught counterparts and that students taught by a pattern method, as a group, tend to do better on simple algorithm computation tests than t h e i r a l g e b r a i c a l l y taught counterparts. No trend i s evident i n terms of per- formance of groups on the complex algorithm computation t e s t s . Furthermore, the existence of a s i g n i f i c a n t between-groups-within-treatments e f f e c t indicates the strong p o s s i b i l i t y of a teacher by treatment interaction which might be further investigated. Although some s i g n i f i c a n t differences were found among the algebraic followed by pattern and pattern followed by algebraic comparisons i n favor of the algebraic followed by pattern groups, these r e s u l t s must be considered i n l i g h t of the p o s s i b i l i t y that a group difference i s what i s being indicated confounded with a treatment d i f f e r e n c e . There d i d appear a trend, although nonsignificant, i n d i c a t i n g that the algebraic followed by pattern taught students performed better, i n general, on the extension t e s t s . F i n a l l y , the data indicated the p l a u s i b i l i t y of a model f o r research i n t o algorithm learning i n elementary mathematics which incorporates two dimensions--type of j u s t i f i c a t i o n provided f o r the algorithm and complexity of the a l g o r i t h m — as useful determinants of student performance on computation and extension tests based on that algorithm. TABLE OF CONTENTS Page5 i i i LIST OF TABLES LIST OF FIGURES v ACKNOWLEDGEMENTS vii Chapter i 1. THE PROBLEM 1 Background The Problem . * 1 ... D e f i n i t i o n of Terms 6 ? 6 9 The Use of Models i n Research A Proposed Model f o r Algorithm Learning Research ...... 10 Use of the Model i n t h i s Study 14 Significance of the Study Research Hypotheses 16 • Analysis of Possible Results 2. A REVIEW OF THE RELATED LITERATURE 17 18 21 Literature on Rule, P r i n c i p l e , and Algorithm Learning ... 21 Literature on J u s t i f i c a t i o n Techniques and Representational Modes * 29 Literature on Techniques to Teach the Four Algorithms Used i n the Study Summary of the Related Literature 3. ^DESIGN AND PROCEDURE 35 39 41 Design 41 Subjects 44 Controls 48 ii Chapter Page I n s t r u c t i o n a l Materials * General Construction of Materials 4-9 51 M a t e r i a l s - - M u l t i p l i c a t i o n of a Mixed Number and a Proper Fraction 50 52 Materials—Comparison of Fractions using the Cross-Product 55 CI M a t e r i a l s — Converting a Fraction to a Decimal 60 C2 M a t e r i a l s — Finding the Square Root of a Fraction ,.. 67 Measuring Instruments . 74- C r i t e r i o n Pretests 74 C r i t e r i o n Computation Tests 77 C r i t e r i o n Extension Tests 80 S t a t i s t i c a l Procedures 4-. RESULTS OF THE STUDY Results Discussion of the Results 5. • SUMMARY AND CONCLUSIONS 31 85 85 109 115 The Problem 115 The Findings 116 Implications 113 Limitations, of this Study 122 Suggestions f o r Future Research 124 REFERENCES 130 APPENDICES 134- iii LIST OF TABLES Table Page 1. Means and Standard Deviations f o r SI Pretest, Computation Test, and Extension Test 85 2. Means and Standard Deviations f o r CI Pretest, Computation Test, and Extension Test 86 3 . Means and Standard Deviations f o r S2 Pretest, Computation Test, and Extension Test 87 4. Means and Standard Deviations f o r C2 Pretest, Computation Test, and Extension Test 88 5. Correlations of Pretest Scores with SI, CI, S2, and C2 90 Computation Scores f o r 6. Correlations of Pretest Scores with Extension Scores f o r 51, CI, S2, and C2 91 7. Correlations of Computation and Extension Scores f o r SI, CI, 52, and C2 93 8. Regression C o e f f i c i e n t s f o r Pretest Scores on Computation Scores f o r SI, C, S2, and C2 94 9. Regression C o e f f i c i e n t s f o r Pretest Scores on Extension Scores f o r SI, CI, S2, and C2 95 10. Overall F-Ratios f o r the Multivariate Tests of Equality of Adjusted Mean Vectors f o r Groups-within-Treatments 97 11. Overall F-Ratios f o r the Multivariate Tests of Equality of Adjusted Mean Vectors f o r Treatments pP-aA 98 12. Univariate Analyses of Covariance f o r the Computation and Extension Tests f o r the pP-aA Comparison on SI 99 13. Univariate Analyses of Covariance f o r the Computation and Extension Tests f o r the pP-aA Comparison on CI 100 14. Univariate Analyses of Covariance f o r the Computation and Extension Tests f o r the pP-aA Comparison on S2 101 15. Univariate Analyses of Covariance f o r the Computation and Extension Tests f o r the pP-aA Comparison on C2 102 16. O v e r a l l F-Ratios f o r the Multivariate Tests of Equality of Adjusted Mean Vectors f o r Treatments pA-aP 104 iv Table Page 17. Univariate Analyses of Covariance f o r the Computation and Extension Tests f o r the pA-aP Comparison on SI 105 13. Univariate Analyses of Covariance f o r the Computation and Extension Tests f o r the pA-&P Comparison on CI 106 19. Univariate Analyses of Covariance f o r the Computation and Extension Tests f o r the pA-aP Comparison on S2 107 20. Univariate Analyses of Covariance f o r the Computation and Extension Tests f o r the pA-aP Comparison on C2 108 V LIST OF FIGURES Figure 1. Page 16 Algorithms Used i n the Study 2 . Evaluation of Possible Results 19 3 . Pegboard M u l t i p l i c a t i o n 35 4 . M u l t i p l i c a t i o n of Fractions by P a r t i t i o n i n g 36 5 . Sequence of Instruction 44 6 . Assignment of Subjects to Treatments 45 7. 51 Area Approach to M u l t i p l i c a t i o n of a Fraction and a Whole Number 8 . M u l t i p l i c a t i o n of Unit Fractions 52 9 . M u l t i p l i c a t i o n of Two Fractions 53 10. Comparison of Fractions by Area 55 11. F r a c t i o n a l Names f o r 1 56 12. F r a c t i o n a l Names f o r Whole Numbers 56 13. Equivalence of Fractions by P a r t i t i o n i n g 57 14. Equivalence of Mixed Numbers and Improper Fractions 60 15. D i v i s i o n of a Decimal by a Whole 61 16. Equivalence of 17. Equivalence of ^ n -^jp to and 3 n x a 62 a = n 4 63 18. Diagrams to Show M u l t i p l i c a t i o n of Two Fractions 67 19. 68 Using Rectangles with a Given Area of Find a Square Root 2 0 . Diagrams to Compute •••• *** ^ 21. The Binomial Square f o r Approximating Square Roots 71 22. Pretest f o r Algorithm SI 75 2 3 . Pretest f o r Algorithm S2 76 vi Figure Page 24. Pretest f o r Algorithm CI 76 25. 77 Pretest f o r Algorithm C2 26. SI Computation Test 78 27. S2 Computation Test 73 28. CI Computation Test 79 29. 79 C2 Computation Test vii ACKNOWLEDGEMENT I wish to acknowledge my appreciation of my committee's patience, guidance, and respect i n the completion of my d i s s e r t a t i o n . I wish p a r t i c u l a r l y to thank my chairman, Dr. G a i l S p i t l e r , for her confidence i n my a b i l i t y to be guided, rather than l e d . Chapter 1 THE PROBLEM BACKGROUND By examining the chapter t i t l e s i n v i r t u a l l y any series of e l e mentary school mathematics textbooks, one can discern that a considerable part of the elementary mathematics program i s concerned with i n s t r u c t i o n i n the use of standard computational procedures. The most common such computational procedures i n grades one through seven are concerned with addition, subtraction, m u l t i p l i c a t i o n , and d i v i s i o n of whole numbers, fractions, and decimals. These procedures are generally c a l l e d algorithms; they s a t i s f y the conditions of being routine, well-defined, and of guaranteeing a correct r e s u l t i f properly applied. Many researchers i n mathematics education have categorized elementary school algorithms i n terms of the mathematical operations accomplished. For example, m u l t i p l i c a t i o n algorithms would be considered as one class of procedures f o r study. Within such categories, these researchers have looked at methods f o r teaching d i f f e r e n t algorithms i n terms of their r e s u l t i n g e f f e c t s either on the computational s k i l l of the learners or oh the students appropriate s i t u a t i o n s . 1 a b i l i t y to apply the procedures i n For example, Scott(40) conducted a study at the grade three l e v e l comparing the learning of two d i v i s i o n algorithms to the learning of one d i v i s i o n algorithm. The c r i t e r i o n examined was the students' a b i l i t y to use a correct algorithm given a word problem whose solution required d i v i s i o n . Schrankler (39) compared the e f f e c t i v e - ness of four methods of teaching m u l t i p l i c a t i o n on computational s k i l l 2 and speed,&and on understanding of the m u l t i p l i c a t i o n process. Similarly, D i l l y (10) compared the r e s u l t s of two methods of teaching d i v i s i o n on computational speed and accuracy. Other examples of this type of research comparing various algorithms f o r a given operation are abundant, f o r example, ( Gray [15] , H a l l [17] , MacSchell ]tf>] ). For a t l e a s t the past f i f t e e n years, there has been an increased emphasis on student understanding and the meaningfulness of learning i n any learning s i t u a t i o n , including the learning of mathematics algorithms. Bruner, i n his book, The Process of Education ( 7 ) , suggested that i t was both possible and important f o r a student to understand the particular learning process i n which he was engaged. meaningful i n s t r u c t i o n . Ausubel ( 1 ) , too, reported on He defined the intent i n meaningful teaching as being the imparting to the student of a mental set to r e l a t e "... substant i v e aspects of the new information to relevant components of existing cognitive structure" ( 1 : 2 2 ) . This i s to be contracted with the verbatim i n t e r n a l i z a t i o n by the student of material as an end i n i t s e l f . Ausubel (1) views meaningful teaching as desirable f o r two reasons: (1) i t i s often d i f f i c u l t f o r a c h i l d to learn by rote a l l of the occasions upon which a given rule i s applicable, and (2) much classroom evidence exists that meaningful material i s learned moie quickly and retained longer ( 1 : 4 5 ) . Thus, i t appears that because algorithms i n arithmetic are usually applicable to a wide variety of problems, and because i t i s impossible to teach s p e c i f i c a l l y f o r every kind of problem, meaningfulness i s especially important with respect to i n s t r u c t i o n i n arithmetic algorithms. I t has been suggested by Phenix (31:312) that the s e l c t i o n of a particular j u s t i f i c a t i o n procedure f o r the rationale of an algorithm 3 isr^likely to be the single most important f a c t o r i n determining i t s meaningfulness. He writes that the "... important point i s that meaning i s defined by the method of v a l i d a t i o n . way I f knowledgeiis claimed but no of t e s t i n g i t can be indicated, i t i s meaningless" (31:312). " V a l i - dation here refers to the evaluation of meaning. In school situations, the method of v a l i d a t i o n available to students i s usually derived from the explanation, or j u s t i f i c a t i o n , f o r the procedure provided by the teacher. Thus, i t would seem productive to conduct research about meaning- f u l algorithm learning i n mathematics so as to include a comparison of the possible types of j u s t i f i c a t i o n s f o r the algorithms given to the students. The writer proposes a scheme f o r organizing an analysis of algorithm learning i n the elementary school mathematics curriculum i n which .justification i s a component. Components other than j u s t i f i c a t i o n are: 1) the mathematical operation accomplished by the algorithm 2) the number of steps and processes required f o r the execution of the algorithm (simplicity/complexity), and 3) the number form to which the algorithm a p p l i e s . The mathematical operation accomplished by anetementary school mathematics algorithm i s generally addition, subtraction, m u l t i p l i c a t i o n , or d i v i s i o n , but other p o s s i b i l i t i e s e x i s t . For example, i t i s possible to consider the operation of taking the square root. The number form to which the algorithm applies consists of some subset of the r e a l numbers— f o r example, the whole numbers only, or the f r a c t i o n numbers only. This scheme derives s u b s t a n t i a l l y from B.O. Smith's (42) model of r u l e ventures and procedure ventures i n classroom learning, I t i s this writer's intention i n proposing the analysis and using i t f o r research to provide a framework f o r examination of an important area i n mathematics education. I t i s only by making use of such a framework that a model f o r algorithm learning can be b u i l t . For the purposes of this particular study, the only two components to be experimentally examined were j u s t i f i c a t i o n and number of steps and processes required f o r execution of the algorithm. In attempting to determine a reasonable categorization of the component of j u s t i f i c a t i o n i n mathematics teaching, the writer consulted several sources. Brumfiel (6) notes that three procedures are possible. According to Brumfiel, some studies which examine j u s t i f i c a t i o n include no j u s t i f i c a t i o n as one possible procedure. The rote procedure, however, w i l l not be considered here because t h i s study i s s o l e l y concerned with situations where some type of j u s t i f i c a t i o n i s attempted. Another j u s t i f i c a t i o n technique i s one i n which the rationale i s based on the description of a particular set of physical objects; an example of t h i s procedure, henceforth to be known as a pattern j u s t i f i c a t i o n , i s found i n 3 the following description: To compute the sum 1 j + j . one could use the physical analogy that i f one cuts a pie i n t o f i v e equal parts, takes three of them, and then takes another of the parts, i t i s equivalent to having o r i g i n a l l y taken four of the f i v e equal parts. Hence the LL sum i s — . The t h i r d procedure i s one i n which the rationale i s based on a set of precise rules f o r dealing with symbols to create e n t i t i e s with new symbolic names. An example of t h i s procedure, henceforth to be known as algebraic j u s t i f i c a t i o n , i s found i n the following argument: compute the product To 6 x 13, one could employ the d i s t r i b u t i v e p r i n - c i p l e of m u l t i p l i c a t i o n overaaddition and rewrite the indicated product 5 as 6 x 10 + 6x3. Hence the product i s 60 + 18 = ?8. Frequently i n i n s t r u c t i o n a l practice, the two j u s t i f i c a t i o n procedures, pattern and algebraic, together with n o n j u s t i f i c a t i o n as a deliberate procedure i n i t s own r i g h t , are interwoven i n various sequences. What has t r a d i t i o n a l l y been known as rigorous proof can be based only on l o g i c a l rules applied to a set of axioms; that i s , rigorous j u s t i f i c a t i o n i s algebraic. Yet i t has been increasingly emphasized, as by Phenix (31:344), that a physical world rationale may student's acceptance of a procedure or theorem. often lead to a Thus, j u s t i f i c a t i o n based upon a physical analogy has attained a position of a c c e p t a b i l i t y by mathematics educators, p a r t i c u l a r l y f o r the elementary grades. Hopefully, research can help teachers and text writers to decide whether there are optimal sequences of algorithm j u s t i f i c a t i o n f o r algorithm learning as examined along two dimensions — the a b i l i t y of students to compute with the algorithm and the a b i l i t y of students to exhibit higher-level understandings of the algorithm. These higher-level under- standings include extensions of the material learned, s p e c i f i c a l l y , the student's a b i l i t y to : 1) shortcut the algorithm i n p a r t i c u l a r cases, 2) solve equations with missing operands requiring use of the algorithm, 3) use the algorithm with number forms other than the type studied, 4) extend the algorithm to more than two operands, and 5) explain an alternate version of the algorithm. The purpose of t h i s study was to begin to study the question of optimal algorithm j u s t i f i c a t i o n i n terms of the computation dimension and the extension aspect of the higher-level understanding dimension. 6 THE PROBLEM In this study, the writer attempted to determine by experimental procedures whether there were any s i g n i f i c a n t differences, either i n computational s k i l l with an algorithm or i n a b i l i t y to extend that algorithm, among pupils taught by one of four types of j u s t i f i c a t i o n f o r a given algorithm involving f r a c t i o n s . These four types of j u s t i f i c a - tion were: pattern, algebraic, pattern followed by algebraic, and algebraic followed by pattern. For the mixed j u s t i f i c a t i o n s , the f i r s t j u s t i f i c a t i o n type was given s l i g h t l y longer emphasis. Examination of algorithms requiring few steps and processes f o r execution and also algorithms requiring a larger number of steps and processes f o r execution was undertaken . DEFINITION OF TERMS Certain terms occur throughout the discussion of the study and are, therefore, defined here. The term algebraic j u s t i f i c a t i o n refers to those explanations which consist purely of appeals to d e f i n i t i o n s , to rules of l o g i c , and to the algebraic f i e l d postulates, or to combinations thereof. These postulates are the laws which govern the operations f o r a given number system. A l i s t of these would include the following: ( i ) the commutative laws of addition and m u l t i p l i c a t i o n (i.e. f o r any r e a l numbers 'a' and 'b', a+b = b+a and a«b = b-a) ( i i ) the associative laws of addition and m u l t i p l i c a t i o n (i.e. f o r any r e a l numbers 'a', 'b , and 1 'c', (a+b)+c = a+(b+c) and (a- b)- c = a* (b«c) ) . A complete l i s t of these postulates can be found i n Spoonder and Mentzer(43). 7 An example of an algebraic j u s t i f i c a t i o n , then, might be the ti.O> following: To determine the product of 3 and 7, one could compute 3 ' 5 + 2< 3 since ( i ) by the d i s t r i b u t i v e p r i n c i p l e , 3*(5+2) = 3*5 + 3 ' 2 , ( i i ) by the commutative p r i n c i p l e of m u l t i p l i c a t i o n , 3 ' 2 = 2 « 3 , and ( i i i ) by the l o g i c a l rule of substitution, 3*(5+2) = 3*5 + 2 - 3 The term pattern j u s t i f i c a t i o n refers to those explanations which make use of physical analogs f o r mathematical operations. These physical analogs may be either two or three-dimensional, but f o r the purposes of t h i s study, only two-dimensional analogs were used. An example of such a j u s t i f i c a t i o n , then, might be the following: To determine the product of 3 and 7, one could compute 3'5 + 2 ' 3 since ( i ) 3 ' ( 5 + 2 ) can be represented as X X X X X X X X X X X X X X X X X X X X X ( i i ) The diagram cah be rearranged to represent X X X X X X X X X X X X X X X X X X X X X 3*5 + 3'2 as ( i i i ) I f rotated through 9 0 ° * the array representing 3-2 can represent 2*3 x x XX X X (iv) Therefore, 3«(5+2) = 3«5 + 2 - 3 X X X X X x x x x x X X X X X x x. x. 8 The term simple algorithm refers to those algorithms r e q u i r i n g few steps and processes f o r execution. This implies that simple algorithms have a small number of immediate mathematical prerequisites f o r their acquisition. The term complex algorithm refers to those algorithms which require many steps and processes f o r t h e i r executions Thus, complex algorithms have a greater number of immediate mathematical prerequisites f o r t h e i r acquistion than do simple algorithms. The writer i s not implying a dichotomy, but rather a complexity continuum, and, f o r the purposes of t h i s study, the d i s t i n c t i o n between the simple and complex algorithms was based on decisions of a panel of judges. An example of a simple algorithm might be m u l t i p l i c a t i o n using common f r a c t i o n a l numbers, where knowledge of the m u l t i p l i c a t i o n facts i s almost the sole prerequisite f o r learning the procedure. A complex algorithm, however, might be "long d i v i s i o n " where decisions about estimates must be made and multiplications and subtractions performed as w e l l as the use of d i v i s i o n f a c t s . The terms r e s t r i c t e d and extended algorithms r e f e r to the scope of the algorithm under consideration. Most algorithms can be considered extensions of more r e s t r i c t e d algorithms; the r e s t r i c t e d algorithm, therefore, becomes a s p e c i a l case of the extended algorithm. For example, an algorithm dealing with the addition of integers can be considered to be anoextended version of the r e s t r i c t e d algorithm dealing with the addition of whole numbers. This d i s t i n c t i o n between r e s t r i c t e d and extended algorithms i s dependent on context; an algorithm may be considered as r e s t r i c t e d i n one context, y e t extended i n another context. For the purposes of t h i s study, the writer chose to use lower case l e t t e r s to indicate a r e s t r i c t e d usage of an algorithm and upper case l e t t e r s to indicate an extended usage. 9 THE USE OF MODELS IN RESEARCH In embarking upon the study of a p a r t i c u l a r learning area, chooses to examine c e r t a i n factors and to ignore others. one This i s un- avoidable, since f o r any such area the number of factors i s p o t e n t i a l l y enormous. The choice of the factors to be examinedboth determines the usefulness of the r e s u l t s and l i m i t s the value of the examination. Since some choice must be made, i t i s best f o r the to be cognizant researcher of the model he i s bringing to bear on the issue, i n order to minimize important oversights. Lachman (24) describes a model as a separate system which "brings to bear an external organization of ideas, laws, or relationships upon the hypothetical propositions of a theory or the phenomena i t encompasses" (24:114). vital,even though i t may Some organization i s have l i m i t a t i o n s . W i l i e r (4.6) emphasizes that "models are never exhaustive, never d e s c r i p t i v e of a l l aspects of the phenomena" (46;:l6), and Lachman (24) explains that "more than one model generally functions f o r a theory" (24:114). Models have important uses. Kaplan (22) notes that models make clear to others what one has i n mind and so a i d communication, that models often d i s t i n g u i s h between d e f i n i t i o n s and empirical propositions, and that models provide a means of data organization. W i l i e r (46:19) sees the purpose of the model as r e l a t i o n s h i p generating. I t can be argued, therefore, that a model should be judged not by i t s exhaustiveness, but by i t s a p p l i c a b i l i t y , i t s precision of communication, i t s parsimony, and the number of new hypotheses suggested by i t . Mathematics education i s a r e l a t i v e l y new f i e l d , and researchers, such as Becker ( 3 ) , have pointed out that mathematics educators must now 10 attempt to focus t h e i r attention on asking the r i g h t questions through the use of models. Becker maintains that mathematics educators can con- tribute towards a theory of mathematical learning by employing the r i g h t kinds of models. To date, few such models have been formulated, and i t i s the need f o r the development of such models f o r mathematics education that stimulated the present study. A Proposed Model f o r Algorithm Learning The model described i n t h i s study i s an outgrowth of the work of B.O. Smith and several of h i s colleagues (42) a t the University of I l l i - v / ' nois, who have assembled and categorized hundreds of classroom transcripts i n terms of the types of "ventures" exhibited. Ventures are defined as segments of discourse dealing with one single topic and relevant to some cognitive objective and are composed of teacher actions c a l l e d "moves" (42:46). The Smith study l i s t s eight types of i d e n t i f i a b l e classroom ventures c l a s s i f i e d according to t h e i r objectives: causal, conceptual, evaluative, particular, i n t e r p r e t a t i v e , procedural, reason, and rule (42:23). To i l l u s t r a t e a conceptual venture, one might suggest a sequence of moves to indicate c r i t e r i a f o r determining class membership,for example, to indicate c r i t e r i a f o r c l a s s i f y i n g an a c t as a crime. The sequence of moves might incJlude, i n p a r t i c u l a r , a move Smith c a l l s an^: "instance enumeration move", l i s t i n g , i n t h i s case, felonies and misdemeanors as types of crimes. Two of the venture types described by Smith, rule ventures and procedure ventures, can be considered to constitute a basis f o r an analysis of algorithm i n s t r u c t i o n i n mathematics. "Rules" r e f e r to conventional ways of doing things or to analytic relationships used to guide action (42:196). Rules include such state- ments as mathematical equations r e s u l t i n g from d e f i n i t i o n a l and axiomatic ii considerations; the statement that a - = a x b X — can be considered a r u l e . b A procedure refers to the "abstraction that may be described independently of a p a r t i c u l a r sequence of actions by which an end may be achieved" (42:221). For example, the sequence of steps i n performing an addition computation can be considered the components of a procedure. Each of these types of action, rule or procedure, can be seen to be involved i n algorithm instruction. Smith included as r u l e venture moves those moves centering on "rule formulation", those centering on "rule j u s t i f i c a t i o n " , and those centering on "rule a p p l i c a t i o n " (42:198). the r u l e | = a x ^ A r u l e formulation move f o r might suggest that the equation holds f o r positive numbers replacing 'a' and 'b'. A rule j u s t i f i c a t i o n move withing a j u s t i f i c a t i o n venture might suggest that since series has 'a' terms, then + jjj + ... + i |_= can be rewritten as a x 3 £ j-j where m u l t i p l i - A r u l e application move cation i s a way of expressing repeated addition. might suggest that i f a = 3 and b = 2, then where the 1 = 3 x g" • Procedural venture moves include "problem-centered", centered," and "procedure-centered" moves (42:228). "performance- A problem-centered move i n an addition procedure venture might serve only to focus attention on the existence of a s i t u a t i o n c a l l i n g f o r addition. A performance-centered move might involve discussing the placement of the d i g i t s i n the sum. A procedure-centered move might involve discussing the generalization of a two-column addition procedure to a three-column one. I t should be clear that rule venture moves and procedure venture moves are involved i n algorithm i n s t r u c t i o n . The r u l e venture moves contribute primarily to a discussion of the scope of an algorithm and i t s j u s t i f i c a t i o n , while the procedure venture moves pertain primarily to a 12 discussion of the actual steps to be taken in performing the algorithm. Based on Smith's analysis, the writer proposes the following model for research about algorithm instruction in elementary school mathematics . The Model. The basic assumption i s that differences in overall computation and extension performance in elementary school mathematics algorithms can be explained in terms of: 1) the mathematical operation accomplished by the algorithm, 2) the number of steps and processes required for the execution of the algorithm (simplicity/complexity), 3) the number form to which the algorithm applies, and 4) the type of justification given in teaching the algorithm. This model does not attempt to examine individual differences among pupils on computation or extension measures, but seeks to predict general performance. The f i r s t and third components of the model reflect Smith's rule formulation and rule application moves; they indicate the scope of application of the rule. The f i r s t and third components also account for moves involving the teaching of the type of problems to which the rule applies, another aspect of scope of application. The second component reflects the aspect of complexity which Smith might expect to arise in performancecentered procedural moves. The fourth component, justification, reflects Smith's rule justification moves category. Most of the above analysis, as indicated, derives from Smith's model; however, the author's model has the added advantage of being particularly applicable to mathematics education research concerning algorithms. This research is often concerned with number systems and mathematical operations. 13 Discussion of the Model. I t should be noted, as with any other model, many factors influencing the learning of mathematics— the form of presentation, the amount of student discovery, or the attitudes which may be acquired, for example— have been ignored. Buttthe model dees take into account the frequently considered factors of mathematical operation and complexity of algorithm and allows for a study of meaningful algorithm learning because of the inclusion of the justification component. Another important aspect of the model i s that i t i s hypothesis generating. I t allows for an examination of any combination of parti- cular instances of the four components and can be used to describe much of the presently conducted research. For example, research comparing two types of multiplication algorithms f i t s completely within component one, the mathematical operation accomplished by the algorithm. Research comparing performance on division and multiplication questions can, for example, f i t within component two, the complexity of the algorithm, i f division is considered a more complex procedure. Other research suggested by the model might investigate whether the kinds of justifications for algorithms should depend on the kind of number system involved. Research derived from the model might also lead to a simplification of the components that need to be considered in future research into algorithm learning. It i s the intention of this study to use the model for this purpose. Specifically, i t was decided to examine components two and four, simplicity/complexity and justification type, to determine i f information about these two components might be sufficient to prescribe optimal algorithm instruction for a variety of instances of the other two components, mathematical operation accomplished by the algorithm and number form to which the algorithm applies. 14 The decision to study justification types was based on the alleged importance of meaningfulness and the alleged role of justification in determining meaningfulness, as previously discussed. The decision to examine simplicity/complexity as a dimension of this study as opposed to mathemat i c a l operation accomplished, component 1, or number form to which the algorithm applies, component J, was based on two further assumptions: 1) Most algorithms i n the elementary grades can be classified as either simple or complex, whereas algorithms to accomplish'only one operation or which apply to only one number form are fewer i n number. Thus, aconclusion involving the simplicity/complexity component would be a relevant one for a larger proportion of the mathematics curriculum. 2) Furthermore, the simplicity/complexity dimension may interact with the justification component where a particular type of justification procedure may be more important for explaining long, involved procedures, but not as important for simpler ones. Thus, this study attempted to determine the most effective method for justifying simple and complex algorithms as evidenced by resultant computational ability and a b i l i t y to extend the algorithm. Use of the Model in this Study Because the use of this model with only one algorithm would not yield information about the two components of justification and simplicity complexity independently of the other components, operation and number form, i t was decided to apply the same research design to several algorithms involving several different operations. Four algorithms were chosen, two simple ones and two complex ones. A l l four, however, were restricted to the same type of number form, common fractional numerals for rational numbers. Since the number of classes available to the writer prohibited 15 v a r i a t i o n of both number form and kind of operation, the writer decided that v a r i a t i o n i n number form could be s a c r i f i c e d , p a r t i c u l a r l y because a l l operations on f r a c t i o n s i n e v i t a b l y involve whole number operations. In considering the choice of algorithms to be taught, a l l four algorithms were required to meet two c r i t e r i a . F i r s t , a l l of the choices were required to lend themselves e a s i l y to both pattern and algebraic justifications. Second, the algorithms were required to be unfamiliar ,to most grade f i v e students i n B r i t i s h Columbia and useful to them i n their l a t e r work. The decision as to whether an algorithm met both of the l a t t e r requirements was checked against curriculum guides and the advice of teachers. Then to decide which p a r t i c u l a r algorithms to choose f o r the simple algorithms,SI and S2, and the complex algorithms, CI and C2, experimenter selected SI and S2 to be as disparate as possible. were also chosen to be as disparate as possible. the CI and C2 This was done so that any p a r a l l e l i n terms of the differences i n performance among treatments could be a t t r i b u t e d to the treatment i n conjunction with the simplicity/complexity factor, and not to the kind of operation or kind of number form. On the other hand, i t was reasonable f o r algorithms 1 and 2 i n each category to d i f f e r i n some previously defined way so that hypotheses might be r e a d i l y tested to account f o r any differences i n optimal j u s t i f i c a t i o n sequence within p a i r s . The analysis of the components of algorithm performance previously discussed was of help i n the s e l e c t i o n process. On the basis of the above considerations, the two simple algorithms chosen were : (1) m u l t i p l i c a t i o n of a mixed number and a f r a c t i o n , and (2) comparison of two f r a c t i o n s using the cross-product r u l e . The two complex algorithms chosen were: (1) conversion of a common 16 fraction to i t s decimal equivalent, and (2) computing the square root of a common fraction. Thus, for both pairs, S1-S2 and C1-C2, the number form to which the algorithm applies was held constant, while the operations varied. Ifc. shouldl'be" noted here that theawriter i s exercising license in not distinguishing between such things as numbers and numerals or fractions and rational numbers, but i t seems that to rely on common usage of the terms w i l l minimize confusion for the reader. A summary of the algorithm choices can be found in Figure 1 below. Figure 1 Algorithms Used in the Study 51- Finding the Product of a Mixed Number and a Fraction 52- Comparing Fractions Using the Cross-Product Rule CI- Finding the Decimal Equivalent to a Fraction C2- Finding the Square Root of a Fraction SIGNIFICANCE OF THE STUDY The results of this study may have effects in several areas, but i t s most important contribution may be that the writer has added to the current store of theoretical models available to mathematics education researchers. By using a large overall model to examine the effects on algorithm learning of different kinds and sequences of justifications, many questions can be settled in fewer studies. For example, a decision that an optimal justification sequence for simple algorithm instruction involving fractions i s pattern followed by algebraic could bear on the teaching of multiplication of fractions, division of fractions, transla- 17 tions of mixed numbers to improper fractions, and possibly multiplication of whole numbers by tens; in other words, i t could apply to many other simple algorithms. The use of such encompassing, but workable, models may greatly simplify the work of future researchers. By drawing attention to a delineation of the components of algorithm instruction, i t i s hoped that the teacher, the textbook writer, and the researcher may be better able to devise more effective instructional sequences for the teaching of algorithms. In particular, because i t i s justification of algorithms that is being studied, i t i s likely that any results, i f made known to teachers, could lead to a better awareness on the teacher's part of different kinds of teaching strategies that are available to them. Teachers frequently do not consider the possibility that they often have alternatives for explaining why an algorithm 'works . 1 Finally, this study may have some bearing on the short-term value of mathematical rigor, especially of rationales based upon algebraic principles, in the elementary grades. It may also effect ^future research about the place of physical models in the elementary curriculum,in particular, research concerning rationales based upon physical,analogy. It should be noted also that the time allowed for instruction in this study was comparable to the instructional time typical of common practice in many classrooms and the results w i l l not, thereby, exhibit the lack of generalizability that occurs with much short-term research. RESEARCH HYPOTHESES Four major hypotheses were tested in this study: H _: nl On tests measuring the a b i l i t y to compute using algorithm SI and to extend i t , the- algebraicc-groupsocand theiaigebraic-f ollowed-by-pattern 18 groups w i l l perform better than the pattern and pattern-followed-byalgebraic groups, respectively. E.Q2'' On tests measuring the a b i l i t y to compute using algorithm S2 and to extend i t , the algebraic groups and the algebraic-followed-by-pattern groups w i l l perform better than the pattern and pattern-followed-byalgebraic groups, respectively. HQ-J: On tests measuring the a b i l i t y to compute using algorithm CI and to extend i t , the algebraic groups and the algebraic-followed-by-pattern groups w i l l perform better than the pattern and pattern-followed-byalgebraic groups, respectively. HQ^: On tests measuring the a b i l i t y to compute using algorithm C2 and to extend i t , the algebraic groups and the algebraic-followed-by-pattern groups w i l l perform better than the pattern and pattern-followed-byalgebraic groups, respectively. ANALYSIS OF POSSIBLE RESULTS An analysis of the theoretically possible results of the study for comparing justifications i s summarized i n Figure 2. The term used i n the figure,"identical s t a t i s t i c a l decisions are made for SI, S2,C1, and C2" implies that a particular treatment, for example, algebraic justification, achieved the highest scores for each of the algorithms S1,S2,C1,C2. 19 Figure 2 Evaluation of Possible Results Case A; Identical s t a t i s t i c a l decisions are made for S 1 , S 2 , CI, and C 2 . Case B: Identical s t a t i s t i c a l decisions are made for SI and S2, identical s t a t i s t i c a l decisions are made for CI and C2, but these two pairs of decisions differ. Case C: Identical statistical decisions are made for SI and S2, but the statistical decisions for CI andC2 differ. Case D: Identical statistical decisions are made for CI and G2, but the statistical decisions for SI andS2 differ. Case E: The s t a t i s t i c a l decisions for SI and S2 differ, as do the statistical decisions for CI and C 2 . In the instance of Case A i n Figure 2, i f a l l null hypotheses were rejected in the same direction, one could conclude that, for groups, i f not for individuals, there may be an optimal justification sequence for a l l algorithm instruction for fractions. If a l l null hypotheses were accepted, one could conclude that there would probably bee no difference among pattern and algebraic treatment groups for any algorithm instruction involving fractions . If Case B occurred and the null hypotheses were rejected for SI and S2 i n the same direction, but accepted for both CI and C2, one could conclude that there may be an optimal justification sequence for simplex algorithm instruction but no optimal sequence for complex algorithm instruction. If Case B occurred and the hulllhypotheses were rejected for SI and S2 i n one direction and for CI and G2 i n another direction, one could conclude that there may be one type of justification to be preferred 20 for simple algorithm instruction and another for complex algorithm instruction. If Case B occurred and the null hypotheses were accepted for SI and S2, but were rejected for CI and C2 i n the same direction, one could conclude that there may be an optimal justification sequence for complex algorithm instruction, but none for simple algorithm instruction. If Case C occurred and the null hypotheses were rejected for SI and S2 i n the same direction, but the decisions for CI and C2 differed, one could conclude that there may be an optimal justification sequence for simple algorithm instruction. Additionally one could conclude that i t i s possible that the mathematical operation may interact with complexity in determining an optimal justification sequence for complex algorithms. If the null hypotheses were accepted for both SI and S2, but the decisions for CI and C2 differed, one could conclude that there i s probably no optimal justification sequence for simple algorithms and hypothesize that the mathematical operation may play a part i n determining the best justification procedure for complex algorithms. If Case D occurred, a l l of the discussion about Case C would pertain i f the words 'simple and 'complex' were interchanged. 1 If Case E occurred, one could conclude that mathematical operation accomplished by an algorithm i s of importance i n determining the optimal justification sequence for both simple and complex algorithms. Therefore, simplifying the model for algorithm i^researchu to just the two components of justification and simplicity/complexity could have been insufficient for examination of algorithm instruction i n general. 21 Chapter 2 A REVIEW OF THE RELATED LITERATURE INTRODUCTION To date, no research appears yet to have been conducted which directly tests the model upon which this study i s based. However, there is some research i n areas that did affect the design of the present study. This literature i s divided into three sections here. Most important i s the work of a number of researchers as discussed in section one below on techniques to analyze rule, principle, and algorithm learning. Additionally, the research on justification techniques and representational modes in section two and the literature on the four particular algorithms taught i n this study described in section three contributed to the development of the design and materials. LITERATURE ON RULE, PRINCIPLE, AND ALGORITHM LEARNING B.O. Smith's work (42) contributed most directly to the model described in this study. Smith compiled transcripts of classroom expo- sition and assembled and categorized these. He named the unit of categorization a venture, meaning a segment of discourse dealing with one single topic and "having a single overarching content objective"(42:6). He labied the sub-units which comprise ventures as venture moves. In his study of classroom behaviors, two of the commonly found venture types which Smith has identified are rule ventures and procedural ventures (42:23). "Rule", as used here, refers to "conventional ways of doing things or to analytic relationships which may be used to guide 22 actions... They may be c a l l e d p r i n c i p l e s . " (42:196). An example of a rule i n geometry that Smith c i t e s concerns the formula f o r areas of t r i a n g l e s , expressed as A= j b h (42:205). "Procedure", as used here, r e f e r s to a "purposeful sequence of actions by which an end may be achieved,"(42:220) and, i n particular, to the "abstraction that may be described independently of a p a r t i c u l a r sequence of actions u t i l i z e d i n achieving a des i r e d outcome i n a c e r t a i n s i t u a t i o n , . . . " (42:221). Smith explains that one type of mathematical procedure might be an established way of attacking a given problem i n geometry, f o r example, s t a r t i n g with the given information. Because Smith d i d not discuss algorithms per se, and, be- cause, to this writer, algorithm learning seems to contain elements of both rule and procedural ventures, further analysis of Smith's categories was undertaken i n order to f i n d a place f o r algorithmic ventures i n his scheme. Smith i d e n t i f i e d three types of emphasis i n r u l e venture moves!:, those centering on "rule formulationj' those centering on "rule j u s t i f i cation," and those centering on "rule a p p l i c a t i o n " (42:198). Formulation moves concern themselves with presenting, c l a r i f y i n g , or formulating a r u l e , or i n d i c a t i n g the scope, range, or purpose of the rule's a p p l i c a t i o n . A statement that "we are now going to l e a r n a way to get square roots of whole numbers" would be a rule formulation move. Another example of a rule formulation move i n the materials f o r the present study i s the statement, "Now that we have learned how to multiply a f r a c t i o n and a whole number and a f r a c t i o n and a f r a c t i o n , we can now learn to multiply f r a c t i o n s and mixed numbers." J u s t i f i c a t i o n moves are further subdivided into r u l e v e r i f i cation and rule derivation moves (42:198). A r u l e v e r i f i c a t i o n move 23 implies a s p e c i f i c s i t u a t i o n where the rule i s applied and the r e s u l t i s tested against "some e x p l i c i t or i m p l i c i t standard appropriate to such an action i n these s i t u a t i o n s " (42:202). justifications. These moves a r i s e often i n pattern For example, to f i n d that £ construct exemplars f o r a l l rectangles and area 16. When he discovers he can accept that ^16 = 4. = 4, the student might with whole number side lengths that the 4 by 4 rectangle i s a square, In other words, "the function of the move i s to determine whether or not the r e s u l t of applying the rule to a parti- cular case does, i n f a c t , lead to a correct or s a t i s f a c t o r y outcome" (42:202). A rule derivation move i s usually concerned with the develop- ment or j u s t i f i c a t i o n of one r u l e by deriving i t from another rule which i s taken to be true. These moves a r i s e often i n algebraic j u s t i f i c a t i o n s . For example, the student might learn that the properties x £ = "** ^ a by using x of reciprocals and the commutative and associative pro- perties of r a t i o n a l numbers. When he multiplies ( a x b ) x ( ^ by using the properties, he gets ( a x ~ he sees that ~ x £ ) x ( b x £ i s the r e c i p r o c a l of (a x b) x g ), ) = 1 x 1 = 1, so namely, a ^ x ^ • Although r u l e v e r i f i c a t i o n moves can a r i s e i n algebraic j u s t i f i c a t i o n s and r u l e derivation moves can arise i n pattern j u s t i f i c a t i o n s , there seems to be a closer p a r a l l e l between v e r i f i c a t i o n and pattern and derivation and algebraic than i s true of the reverse analogy. The above description of these two types of r u l e moves comprises a l l aspects of algorithm learning as discussed i n the-author's model except the teaching of the actual procedure to be followed. That i s , r u l e ventures would encompass explanations of the purpose of the algorithm, of reasons which would j u s t i f y the algorithm, and of descriptions of the types of problems to which the algorithm could be legitimately applied. 24 Smith notes that a large percentage of the t o t a l ventures i n mathematics classes observed, i n f a c t , 1 out of each 1.8 ventures observed, were rule ventures (42:208). In p a r t i c u l a r , i t was found that the most common ventures i n high school geometry were those made up of formulation and application, but r e l a t i v e l y few involved j u s t i f i c a t i o n (42:211). Simila r l y , Smith distinguishes among three types of emphasis i n procedural ventures: problem-centered-, performance-centered, and procedure-centered moves (42:228). Problem-centered moves are used to analyze the problem or situation, as, f o r example, i d e n t i f y i n g the problem or explaining the information given. One might, f o r example, i d e n t i f y that 1 4 the problem under consideration i s — x - . 3 5 Performance-centered moves describe the necessary performances involved i n the procedure. Here the teacher might suggest that j x^ can be found by multiplying 1 x 4 f o r the numerator and by multiplying 3 x 5 f o r the denominator. Procedure- centered moves are those moves aimed a t helping the student to abstract the performances i l l u s t r a t e d f o r a p a r t i c u l a r problem to a more general idea of the required procedure i n a l l such problems. teacher, having completed discussing that o* x J = 18 For example, the £ x j = | Q , rj x 5 » ^ S h t suggest that, i n general, a x \ = i~ x b • = IB" • and This categorization of procedural ventures (Smith fJ42Ji:228) seems to describe the teaching of algorithmic procedures. I t should be noted that the prob- lem-centered moves, although similar to rule formulation moves, are much more s p e c i f i c . For example, a teacher might say,"Let's t r y to do question 6 on page 15•" and this would be a problem-centered procedural move. The procedure-centered moves, although perhaps pointing out the relevant component concepts i n the procedure i n t h e i r attempts to generalize from a p a r t i c u l a r problem, do not go as f a r as rule j u s t i f i c a t i o n moves do i n explaining the connections between the components. I t was found that procedural ventures were most prevalent i n the science classes Smith observed, but that they occurred i n about 1 out of every 4.4 ventures i n the high school mathematics classes examined (42:238). Most procedural ventures were of the form i n which the problem was i d e n t i f i e d and a performance procedure from the performance given without any attempt to extract a (42:240). Smith found that procedure- centered moves r a r e l y occurred (42:239)« I t i s the d i s p a r i t y between the observed paucity of rule j u s t i f i c a t i o n moves and procedure-centered moves and t h e i r t h e o r e t i c a l importance that motivated the writer to d i r e c t attention to t h e i r study. Smith's analysis of rule and procedural ventures, therefore, influenced to a large extent bothtthe model f o r algorithm learning devised by the author and the examination by the writer of the p a r t i c u l a r component of j u s t i f i c a t i o n i n algorithm learning. Whereas Smith has attempted to categorize current classroom practice, Scandura's aim (35) has been to create a research model to learn more about the area of principles and procedures. In noting that most investigators today accept the premise that meaningful learning involves the a b i l i t y to perform successfully whole classes of tasks rather than simply one s p e c i f i c task, and that S-R language does not d i r e c t l y deal with this type of learning, Scandura has proposed a new language, SFL (Set Function Language), whose basic unit i s a "rule", rather than an association. For Scandura, a r u l e i s considered to be the analog of a mathematical function and consists of three elements: 1) a set of stimulus properties (D), 2) a set of response properties (R), and 3) an:.i operation (0) between the stimulus and response elements such that each spec 26 f i c stimulus is associated with exactly one response ( Scandura ). An example of a rule would be the rule for adding two numbers, where D consists of a set of pairs of numbers, R consists of a set of single numbers, and 0 consists of the counting of the union of two disjoint sets to find a sum. In this scheme, an association would be considered a rule with one-element sets for both D and R. (3t2) —?5 For example, the relationship i s s t r i c t l y an association. A concept would be considered a rule with a one-element set for R. (1,4),(2,3), (3,2), and (4,1) For example, D might consist of pairs and R of the number 5 where the concept may be a sequence of associations for the addition fact6.^for 5. It should be noted that one component of algorithm instruction of the proposed model, the number form to which the algorithm applies, i s inherent in the choice of D. The components of algorithm instruction dealing with kind of mathematical operation accomplished by the algorithm and number of steps and processes required for execution of the algorithm (simplicity/complexity) are reflected in the achievement of the understanding of the rule as a whole, but particularly in the achievement of understanding of the operation, 0. Scandura has reserved the word "principle" for situations where the student has r knowledge both of a rule and i t s applicability and here the algorithm component of justification might be important. Using the SFL model, Scandura generated and then investigated several research problems concerning rule learning,which are relevant to the study of algorithm instruction. In one study of rule generality and response consistency, Scandura, Woodward, and Lee (38) sought information on how abstract the presentaW tion of a rule should be. II Generality was measured by the scope of the 27 statement of the rule, where "scope" was defined in terms of the (D,0,R) denotation of rules. Rule A was considered more general than rule B i f Dg was a subset of D^, 0^ of 0^, ment (Scandura, Woodward and Lee and Rg of R^ (36). In the experi- ), 85 college subjects were assigned to three treatment and two control groups differing in terms of the generality of the rules provided them for playing the number game NIM. (36); Results indicated that the most specific rule,was easiest to learn however, subjects who had learned the most specific rule were generally unable to extend that rule to cope with problems outside the scope of that specific rule but within the scope of i t s more general extensions Scandura conducted another study with J . Durnin (37) (36). alsotto investigate rule generality but with high school subjects, and, again, the most specific rule group showed no extra-scope transfer, It i s for the c u l t i - vation of the a b i l i t y to generalize or extend a situation, therefore, that algebraic justification may become important, since an algebraic argument i s usually of a more general form than i s a pattern argument. This generality of algebraic arguments i s probably due to the small number of rules of logic and f i e l d postulates as opposed to the greater variety of physical analogs for mathematical situations. Scandura also did some research on rule learning that was not directly tied to his SFL model. In one study, he examinedthe role of symbolism in learning mathematical rules (34). He was attempting to find whether verbally or symbolicaliky stated rules are more easily memorized and whether knowledge of correct use of the constituent symbols i s necessary and/or sufficient to apply a memorized rule correctly. He found that those subjects given symbolic rules were successful only i f they had 28 learned the symbolism, that symbolic statements were always learned more q u i c k l y than verbal ones, and that mastery of the constituent symbolism seemdd to be almost s u f f i c i e n t f o r correct application of the r u l e (34:361). I t may be that i n the algorithmic learning of elementary school mathema- t i c s , p i c t o r i a l - a l g e b r a i c j u s t i f i c a t i o n i s an analog of the v e r b a l symbolic dimension of Scandura's study. Therefore, although Scandura's findings were based on subjects of college age, they d i d motivate i n the present study the consideration pattern of algebraic j u s t i f i c a t i o n as w e l l as justification. Gagne (14) has also studied r u l e learning. In h i s work, he has defined a rule as "an i n f e r r e d c a p a b i l i t y that enables the i n d i v i d u a l to respond to a class of stimulus situations with a class of performances, the l a t t e r being predictably r e l a t e d to the former by a class of r e l a t i o n s " (14:191). This d e f i n i t i o n i s much l i k e Scandura's. Gagne notes that a r u l e i s t y p i c a l l y composed of several concepts and that learning a r u l e i s a c t u a l l y the same as learning the correct sequence f o r the involved concepts. the teaching Much of h i s research has been an attempt to show that of rules i s f a c i l i t a t e d by p r i o r i n s t r u c t i o n or r e c a l l of the subconcepts inherent i n them (14:193)• He has also suggested a sequence of i n s t r u c t i o n f o r r u l e learning; the four-step procedure consists of the following: i ) a statement of the general nature of the performance expected a t the conclusion of i n s t r u c t i o n , i i ) '.. verbal iii) iv) instructions to invoke r e c a l l of component concepts, verbal cues f o r the r u l e as a whole, and questions to ask the student to demonstrate the r u l e . 29 He adds that there should be reinforcement and r e p e t i t i o n throughout (14:202). I t was t h i s procedure f o r rule i n s t r u c t i o n that served as a basis f o r the presentation i n the i n s t r u c t i o n a l materials used i n this study. LITERATURE ON JUSTIFICATION TECHNIQUES AND REPRESENTATIONAL MODES The l i t e r a t u r e on j u s t i f i c a t i o n techniques f a l l s into two cate- gories : l i t e r a t u r e discussing possible j u s t i f i c a t i o n techniques i n mathematics i n general,oand l i t e r a t u r e discussing pattern and algebraic type j u s t i f i c a t i o n s i n p a r t i c u l a r . F i r s t , the general l i t e r a t u r e w i l l be discussed. In suggesting methods available to teachers f o r structuring mathematical knowledge i n the classroom, Cooney and Henderson 09) list two types of explaining that teachers can u t i l i z e i n helping students to understand a p r i n c i p l e i n mathematics. The f i r s t type i s c a l l e d j u s t i f y i n g and "involves challenging an assertion whereupon the person challenged i s expected to provide f a c t s and generalizations from which the assertion follows: (9.1:427). k = a x i ?" The teacher might ask, f o r example, "How doswe know The second type of explaining i s c a l l e d implicating and involves providing students c e r t a i n conditions and "asking them to formu- l a t e the conclusion following from these conditions" (^9:428). the teacher might ask, "Suppose clude about the product of ^ 4 x 5 x ( and ^ ?" ^ x ^ ) = 1. Here, What can we con- I t i s the f i r s t type of j u s t i - f i c a t i o n by a teacher which predominates i n the notion of j u s t i f i cation examined i n the present study. That i s , the teachers are expected to provide a basis of f a c t s from which the techniques employed 30 in the algorithm follow, and the teachers are expected to explain the connection between these facts and the algorithmic procedure. It is mostly in the conclusion sections, after the use of the justifying by the teacher, that the student i s called on to make implications. It might also be noted that implicating is a substantial part of the c r i terion/.measure of student a b i l i t y to extend an algorithm. A further categorization of justification techniques can be found i n the work of Richard Wolfe, who conducted a study similar to B.O. Smith's (42) to investigate the "verbal activity of justification as i t i s carried out in the classroom by teachers of secondary school mathematics" (47:334). Primarily two types of justification were con- sidered— justification of an assertion (validation) and justification of an action (vindication). For example, the assertion be validated by renaming b = b + E + b 1 + E + ^ * , = a x * + b 1 = ^ A might ID • X But the action of putting the sum of the units digits i n the addition question: 45 + 56 + 168 in the units place of the answer might be vindicated by discussing what confusion would result i f i t were placed in, perhaps, the tens place. The most frequently employed strategy, or pattern of moves, of validation was found by Wolfe to be one in which ta statement is justified by means of a subsuming generalization, a second statement which takes the f i r s t as a special case; this strategy occurred in 33$ of the observed ventures (47!::334). For example, the fact that | =3x ^ would be vaU - 1 a dated by reference to the more general assertion that for any whole numbers 'a' and ^ = a x ^ 'b'. The most frequently employed strategy of vindication was found to be one in which an action i s justified by an argument primarily based 31 on practical grounds; this was noted in 12$ of the observed ventures (4;?:335) • For example, the fact that in dividing 312 by 6, one should not take awaycone group of 6 at a time to find the quotient may be vindicated by referring to the subsequent length of the question i f this practice is pursued. These three particular types of justification, accompanied by three more— a supporting instance, the search for a counter-instance, and mathematical notation for a verbal argument— were listed as the only six justification techniques found in secondary mathematics classrooms by Wolfe (47:334). It can be argued that validation moves are prevalent in both the pattern and algebraic justifications employed in the present study, particularly in the use of subsuming generalizations. This was manifested both in the use of restricted versions of each of the four algorithms prior to their extended versions and in the use of subsuming generalization techniques employed within the instructional sub-units. Vindication moves were less prevalent because procedural moves, of which vindication might be taken as an example, occurred less frequently than rule moves, which are more related to validation. However, the notion of vindication, i f extended to encompass any argument based primarily on practical grounds, might form the basis of most pattern justification. Furthermore, validation moves, i f restricted to rule justification rather than rule formulation or rule application moves, might form the basis for the ideas behind most algebraic arguments. Deductive proof is much akin to what, in this study, is called algebraic justification; the only difference between the two i s the rigor of argument required. For elementary school purposes, deductive proof may be less valuable than a simple algebraic rationale. Three of the justification types Wolfe listed were not included 32 in the present study. The use of mathematical notation for a verbal argument was not considered as a justification type primarily because i t must be found within any other mathematical justification which is not totally symbolic, and in the elmentary grades a totally symbolic argument would be a rarity. The search for a counter-instance was not included because i t does not apply to the generation of an algorithmic procedure which, by i t s nature, operates on a l l members of a class of questions and so has no counter-example. Supporting instances, too, were not considered as rationalizations of algorithms which, by their definition, apply to an entire class of questions rather than a particular one. Thus, Wolfe's l i s t of six possible justification types, for the purposes of a study of elementary school mathematics algorithm j u s t i fication, can be reduced to the three: validation, vindication, and deductive proof, which are bases for both pattern arid algebraic rationales. - Bhenix (31:342) points out that, in general, there are only three major positions to take on how mathematics may be j u s t i f i e d — the empirical, the intuitionist, and the formalist positions. The empiricist depends on the properties of the world perceived by the senses; Phenix argues that the primary contribution of the empiricist's point of view for mathematics may be i t s logic of discovery (31:344). The intuitionist concerns himself exclusively with the philosophical issue of the existence of abstract number, and so cannot contribute directly to the creation of instructional material in mathematics at an elementary level. The forma- l i s t can and would argue for a strongly algebraic approach. The empirical and formalist positions can be construed as the philosophical progenitors of the pattern and algebraic justifications that are examined in this study. It should be noted that although Wolfe discovered six j u s t i f i - 33 cation procedures in his observations, these six can be considered as sub-categories of Phenix's empiricist and formalist positions; that i s , vindication, supporting instances, and the search for a counter-instance tend toward a pragmatic empirical outlook, while validation, the use of mathematical notation for a verbal argument, and deductive proof tend toward the formalist position. At one time, the pattern or physical rationale in mathematics was used almost only in the lower grades of the elementary school, but increasingly more instances of this type of justification are being found at the secondary level. For example, Bidwell (4) wrote an article descri- bing a physical model for teaching factoring of quadratic polynomials. He claimed that the particular advantage of that method was that i t led the learner from the concrete stage to the abstract stage, and so probably led to more meaningful learning ( Bidwell [V\ ). Similarly, Edmonds (2) considered a "more intuitive approach to the teaching of algebra" in teaching square numbers and the factoring of squares in terms of diagrammatic materials. Many other examples, too, might be found of. physical models in the secondary school ( Vance Sji^ ). Thus, both pattern and algebraic justifications have been considered useful for students at levels other than that of the primary grades. Among the opinions on the relative merits of pattern and algebraic justification, Bates (2) suggests that most mathematics lessons require constant shifting "between what we generally regard as the 'real' world of physical objects and the 'non-real' world of mathematical abstractions" (2: 35^ )• Using the example of teaching division of fractions, he showed several pattern and algebraic arguments which could be used to justify the division of fractions algorithm. Although he claims that 34 either rationale can be used to teach with understanding! Bates(2) believes that i t i s in the melding of these two points of view that most arithmetic becomes best understood by children. Bates i s in basic agreement with Hartung (18) who feels that "mathematics is a conceptual subject, and the physical activity that i s used to promote learning is mainly a means to this end." (18: 280 )• Fennema(12) conducted a study comparing the relative effectiveness of a symbolic and a concrete model in learning the principle of multiplicationaas the cardinality of the union of disjoint sets. She found that among the children tested, a l l of ages seven to eight, those children who learned using a symbolic model performed at a higher level than those who learned using the physical method employing Cuisenaire rods ,on tests requiring extension of the principle (12:237). Although a manipulative mode of presentation cannot be considered as precisely analogous to the pattern mode of this study, i t is a reasonable parallel because of i t s dependence on a description of a physical set of objects for i t s rationale. It can be seen that most of the l i t t l e existing discussion of the justification techniques available to mathematics teachers has supported any method that leads to understanding and has advocated, in particular, both the pattern and the algebraic methods. Although most writers have not compared the two types of justification discussed in this study, there seems to be a greater emphasis on the pattern approach i n their work. It is hoped that the results of the current study might better determine the actual merits of the two approaches. 35 LITERATURE ON TECHNIQUES TO TEACH THE FOUR ALGORITHMS USED IN THE STUDY In order to complete a discussion about the related research, i t is necessary to include some mention of the work that has been done dealing with the four algorithms employed in the present study. This w i l l indicate how such literature affected the specific teaching methods used by the writer. Mathematics educators have suggested techniques and have conducted experimental studies to find optimal ways for teaching each of the four algorithms considered in the present study. Among those who suggested possible techniques were Nelson and Nelson(30) who demonstrated the r use of pegboards for multiplication of fractions. They used pegs to make rectangular outlines with dimensions equal to the denominators of the two fractions being multiplied. 1 x 3_ = For example, for solving the question , they would set up a 2 by 4 rectangle. They then indicated the maneuvers to be performed to demonstrate the multiplication process. The demonstration i s as i n Figure 3 below. Figure 3 Pegboard Multiplication Stage 1: x x x x X X X X Stage 3: \x\ Vx\ \lc\ 3 Stage 2: [x\ \x\ [x\ x CH DD OB- x X X X 3 36 The answer would be read as the fractional part of the total number of pegs covered by straws i n the f i n a l indicated stage. This technique is related to the partitioning scheme used in the pattern justification for algorithm SI in the present study. Kolesnik (23) more directly suggested the partitioning idea to represent multiplication of fractions. ^ x ^ , he would use three s t a g e s — x f i r s t the For example, to represent drawing of an arbitrary unit rectangle, then the partitioning of that rectangle into fourths along i t s length and the shading in of three of those fourths, and finally, the cross-partitioning into halves along i t s width and the further shading in of one half of those three fourths already shaded. A diagram of this scheme can be found in Figure 4. Figure 4 Multiplication of Fractions by Partitioning Stage 1: Stage 2: rr i « i In terms of research into algorithm SI, Romberg (35) found that in the NLSMA study, the National Longitudinal Study in Mathematics Achieve- 37 ment, a substantial proportion of the incorrect answers on multiplication of fractions tests resulted from the students' not reducing to lowest terms what were actually correct answers. For this reason, the writer did not require students to reduce their answers on the SI criterion tests. Brueckner and Elwell (5) found that in a test for individual diagnosis of ability to multiply fractions, at least three example of each type of sub-skill should be included to get a high degree of consistency. Thus, the SI computation test was constructed in terms of four sub-tests, each with six items of a type, to test each of the subs k i l l s taught. Collier (8) discovered that in learning to multiply fractions, children find i t easier f i r s t to learn to find the product of a whole number and a fraction in that order, such as 4 x j , and later the product of a fraction and a whole number in that order, such as j x 4. This was the sequence followed in the SI instructional materials. It may be noted that this finding may be peculiar to countries where a x b i s interpreted as b+b+...+b, that i s ^ a ' ^ ' s ' , rather than as a+a+..,+a,'b' 'a's'. Also of relevance to the SI materials was Green's finding(l6) that taking an area approach to multiplication of fractions was more successful than taking an approach depending on finding fractional parts of sets of objects. For example, i t proved more successful to find j x 4 by using the diagram approach as in Figure 3 above than by taking j of a set of 4 objects. It was the area approach that was employed in the pattern justification for algorithm SI. Very l i t t l e has been written about methods for teaching compari- 38 son of fractions using the cross-product rule, but Matthews(28) suggested that one should begin by asking students to name pairs of unlike fractions such that the f i r s t was greater, then pairs where the second was greater, and finally equal pairs. It was only then that he recommended changing the fractions to equivalent ones within pairs and then explaining the cross-product rule. This suggestion was adopted in the S2 instruc- tional materials; the notion of "greater than" for fractions was introduced prior to the actual determination of which of two fractions was greater. Determination of which fraction was greater was f i r s t achieved by the use of equivalent fractions and later by the cross-product rule. The other major contribution to the techniques employed in S2 was Hinkelman's (20) finding that, relative to other principles dealing with fractions, the principle that i f two fractions have the same denominator, the one with the greater numerator is greater, i s relatively well-understood by grade five and six students. This principle was depended upon heavily for both algebraic and pattern approaches. In a study comparing long division and short division for one digit divisors, John (21) found that, although the short division group showed greater speed and accuracy i n i t i a l l y , the long division group soon moved ahead on both. For this reason and because of the familiarity of grade five British Columbia students with long division, the long division algorithm was used in teaching the conversion of fractions to their decimal equivalents in algorithm CI of this study. The last major suggestion offered by the literature for the materials used in this study was the method of estimating square roots of non-perfect squares by Frederiksen (13). He suggested that i n order 39 to estimate the square root of 'b', one might use the partitioned b i nomial square with area 'b' and dimensions 'a+ Q 1 where 'a' was the closest whole number less than the square root of 'b'. In the opinion of this writer, the lack of research i n and original examination of techniques of instruction for the four algorithms employed i n this study i s d i f f i c u l t to justify. Most other articles the writer encountered concerning the four algorithms of this study seemed either to deal with a single curiosity about one of the algorithms or else they reiterated the standard techniques which were identified by Kolesnik (23), Matthews (28), John (21), and Frederiksen (13). It i s hoped that the model proposed i n this study w i l l suggest new techniques for future research concerning these four particular algorithms. SUMMARY OF THE RELATED LITERATURE In conclusion, the literature from three major areas has i n fluenced the design of the present study. The work on rule and principle learning led to the model being used in this study, an adaptation of B.O. Smith's model of rule and procedural ventures. It also led to the con- sideration of the possible effects of algebraic justification on the ability of students to extend an algorithm and to adoption of the particular format of the instructional materials. The work on justification procedures and representational modes reinforced consideration of both pattern and algebraic justification schemes and also supported the use of the technique of sub-suming generalization prevalent in the instructional materials. Finally, the literature on the four algorithms themselves suggested instructional techniques, namely-, the partitioning technique used i n SI, the multiplication of whole numbers and fractions in that order before the multiplication of fractions and whole numbers i n that order i n SI, the use of the principle that i f two fractions have the same denominator, the one with the greater numerator i s greater in S 2 , the long division algorithm i n CI, and the binomial square i n C 2 . It i s hoped that the use of the writer's model w i l l unify these three disparate areas into a more usable body of knowledge. 41 Chapter 3 DESIGN AND PROCEDURE DESIGN This study was designed to examine two independent variables connected with algorithm instruction i n arithmetic: the f i r s t variable was the type of justification for the algorithm and the second, the complexity of the algorithm. Thus, four experimental conditions varying in type of justification were employed for each of two simple and two complex algorithms. Treatment 1, or pP,subjects were instructed using materials based on pictorial justification, henceforth called pattern justification, for both restricted and extended versions of an algorithm, while treatment 2, or aA, subjects were instructed using materials based on algebraic justification for both the restricted and extended versions of that algorithm. The subjects i n treatments 3 and 4, labelled pA and aP treatment conditions, were taught using materials employing a combination of pictorial and algebraic justifications; the former group received pattern justification for the restricted version of the algorithm followed by algebraic justification for the extended version, while the latter group received the reverse treatment. Immediate mathematical prerequisites for each of the two simple algorithms were determined, based on decisions by a panel of judges who were specialists i n the area of mathematics education. For a l l pupils, scores on a criterion pretest constructed by the writer and measuring knowledge of these prerequisites were f i r s t gathered. These scores were used as covariates to adjust for i n i t i a l differences among kz treatment groups with respect to this knowledge. A l l groups were then instructed by their usual teacher i n one of the two simple algorithms— either finding the product of a mixed number and a proper fraction (algorithm SI) or comparing fractions using the cross-product rule (algorithm S 2 ) . The instructional materials written, by this author and used by the teachers reflected either the pattern, algebraic, or combination justification, depending on the treatment condition to which the group had been assigned—pP, aA, pA, or aP. Each class was taught as a unit. The wording, examples, and exercises for the sets of teaching material for a given algorithm were parallel in preseni tation for a l l treatment conditions. This parallelism can be observed by examining pages 1 5 5 a n d l 7 2 in Appendix A. For three forty-five minute sessions, the students were taught a restricted version of either SI or S2 using either a pictorial(p) or algebraic (a) approach. Algorithm SI, when confined to multiplication of a mixed number by a whole number rather than a mixed number by any fraction, was considered the restricted version of SI. Algorithm S2, when confined to comparison of a fraction and a whole number, rather than comparison of any two fractions, was considered the restricted version of S2. A restricted version of each algorithm was taught f i r s t in order that those students on a purely algebraic or purely pattern approach might also learn something new during the time in which those students i n the mixed justification groups were learning something new by being exposed to the second type of approach. The students completed worksheets covering the material taught during the three sessions, and these worksheets were returned to the writer by the teachers. The sheets were not graded, but were provided by the writer as exercise sheets for 43 the students so that no teacher was required to produce supplementary work,. Each of the groups was then taught the extended version of the algorithm i t was studying, using either the pattern (P) or algebraic (A) approach, depending on the treatment condition to which the group had been assigned. This instruction continued for two sessions. At the conclusion of the five sessions of instruction on the simple algorithms, two criterion tests were administered to each class. The f i r s t test measured computational ability with the algorithm studied. The second test measured the ability to extend mathematically the material studied. The extension test included five types of items designed to measure the ability to : 1) shortcut the algorithm in particular cases, 2) solve equations with missing operands requiring use of the algorithm, 3) use the algorithm with number forms other than the type studied, 4) extend the algorithm to more than two operands, and 5) explain an alternate version of the algorithm. Next, a second set of pretests, instruction, and criterion tests were presented to each class on one of the two complex algorithms. The SI students were taught an algorithm for converting fractions to their decimal equivalents (algorithm CI), while the S2 students were taught an algorithm for finding the square root of a fraction using long division (algorithm C 2 ) . The same treatment assignment as had been employed in the simple algorithm instruction was repeated with each group for the complex algorithm. For example, groups assigned to treatment pA for the simple algorithms were also assigned to pA for the complex algorithms. After administration of pretests based on immediate mathematical prerequisites for the complex algorithms— the prerequisites again determined by a panel of judges— the students were given five sessions of instruction 44 on the restricted version of either CI or C2. For each of the two complex algorithms, the restricted versions dealt only with cases where the answer could be found exactly, while the extended versions dealt with approximation techniques. >^l6 For example, an exercise such as computing might arise in the restricted version of C2, whereas an exercise such as computing/^17 might arise in the extended version of C2. The instruction on the extended portions of the algorithms continued for three more sessions. During the course of instruction, a l l classes completed a number of worksheets provided for the convenience of the teachers which were returned to the experimenter. At the conclusion of a l l instruction, a computation test and an extension test based on the complex algorithm studied were administered. The overall procedure was as indicated in Figure 5 below. Figure 5 Sequence of Instruction S Pretest A i Pretest ? — > Extended S Instruction Restricted S Instruction Restricted C Instruction > Extended C Instruction S Criterion Tests V 7 C Criterion Tests SUBJECTS Sixteen classes of grade five children in nine schools in the Lower Mainland area of British Columbia, Canada, were made available to Ithe experimenter. In order to control as much as possible for teacher-method interaction, three classes with three different teachers 45 were to be assigned to each of the treatment conditions. The experimen- ter, therefore, randomly assigned twelve classes, three to each of the pP and aA conditions f o r algorithm set S l - C l and three to each of the pP and aA conditions f o r algorithm set S2-C2. sixteen classes were randomly a s s i g n e d — The remaining four of the one to the pA and one to the aP conditions f o r each of the S l - C l and S2-C2 sets. A diagram of the assignment can be found i n Figure 6 below. Figure 6 Assignment of Subjects to Treatments Treatment Condition PP aA aP pA 13 Class 1 Class 2 Class 3 Class 4 Class 5 Class 6 Class Sl-Cl S2-C2 Class 7 Class 8 Class 9 Class 10 Class 11 Class 12 Class 15 I t was Class 14 Class 16 impossible to r e p l i c a t e these mixed conditions pA and aP i n other classes due to the d i f f i c u l t y i n obtaining the larger number of classes that would be required. The choice of assigning three classes to each of the pure algebraic and pattern conditions, rather than the mixed conditions, was motivated by the writer's judgment that information based upon the former conditions would be more immediately useful,to classroom practice. The writer believes that i f f a classroom teachers did use both pattern and algebraic modes, he would be l i k e l y to mix them more 46 intimately than in this study, perhaps as papapaPA, rather than as simply pA or aP. On the other hand, the writer believes that many teacher would often use, and do often use, a purely pattern mode, while others often use a purely algebraic mode. Due to the d i f f i c u l t y in deciding what degree of mixture i s most commonly employed by teachers, the mixed approach was not further examined. The f i f t h grade level was selected because i t was decided that such students would be sufficiently unfamiliar with the content to be learned that treatment effects could be studied, but sufficiently familiar with prerequisite knowledge that the content would be teachable. This was confirmed by the teachers of a l l experimental classes. A l l teachers involved also agreed that the material would be useful i n reviewing prior learning of their classes and would at the same time provide their students with new information. The individual class, each with i t s own teacher, rather than the individual student, was regarded as the experimental unit for this study. This situation resulted from the virtual impossibility i n educational research of obtaining anything other than complete classes to work with, as well as the impossibility of assigning one teacher to teach i n each of 16 classrooms at the same time of year, i n several schools, over a three week to four week period. The fact that each class was taught by one teacher as a unit,and so the treatment was not independent for individuals, necessitated allocation of classes as experimental units. Thus, the need for at least two classes, or experimental units, in each treatment became obvious. Furthermore, i t was decided that there should, i f possible, be more than two classes per treatment, not only to control further for teacher and class differences, but also to provide sufficient 47 degrees of freedom to allow for significant s t a t i s t i c a l results. It i s for this reason that the maximum available number of classes was assigned to each treatment; unfortunately, no more than three could be arranged for each treatment. This type of assignment of classes, rather than individual subjects, to treatments was recognized by the experimenter as a calculated risk since i t decreases the minimal control for teacher and class differences and i t reduces degrees of freedom for s t a t i s t i c a l analysis. However, this risk was deemed a reasonable one for several reasons. First, i f results indicated that the between-groups-within-treatments variance was not significant, significant s t a t i s t i c a l results would be possible. Second, i f results indicated significant between-groups-within-treatments variance, information would be available regarding the extent to which individual class means differed, indicating tentative evidence for treatment by teacher interactions which might be further investigated. Third, even i f no clear-cut results could be found because of substantial between-groupswi thin-treatments variance, the experimenter would have provided a useful design for future research teams with sufficient funds and administrative power to find the large number of classes needed to research the problem. A pilot study would have been desirable to permit some estimate of between-classes-within-treatment variance, but, practically, only a certain number of classes could be obtained for experimental use and i f any of these were used for the pilot, no guarantee could be made that other classes would be available to replace them in the main study. 48 CONTROLS An attempt was made to control for several possible contaminating variables— differences among classes on prerequisite knowledge, different use of materials by the teachers involved, differences i n frequency of feedback to the teachers from the writer, and novelty effects. The criterion pretest scores were used i n an analysis of covariance on the criterion posttest scores. This was done to adjust for i n i - t i a l differences among groups i n prerequisite knowledge for the algorithms that were studied. In this way, groups which were better prepared for learning the particular algorithms assigned to them were not awarded spuriously high f i n a l scores on the criterion tests following covariate adjustment. In order to control for diversity i n the use of materials by the teachers and differences i n frequency of feedback to them from the writer, several measures were taken. First, the writer distributed the materials to a l l teachers five days prior to the start of the experimental period. Teachers were encouraged to ask questions of the writer at any time so that the material would be clear to them. The teachers were visited regularly by the writer to provide them with an opportunity to ask any questions they had concerning the project. the material as written. Alllteachers agreed to follow The teachers were cautioned particularly to use the assigned justification approach exclusively i n response to student questions or remarks. A l l teachers received a copy of their pupils' grades on each of the pretests and criterion tests no later than two teaching days after collection of the tests by the writer, who graded a l l tests. Thus, a l l teachers had the opportunity to be equally aware 49 of the progress of each of their students. No teacher was informed of the standing of his class i n comparison with other classes. Because a l l classes received instruction from their regular teachers and because a l l classes received instruction clearly different from usual, differences among groups with respect to novelty effects were judged to be sufficiently minimized. INSTRUCTIONAL MATERIALS General Construction of Materials Materials for each teacher included a written teaching exposition,, a prescribed set of practice exercises to be used by the students, and a written explanation of each new learning objective for the teacher. Indications were also included as to the points i n the instructional sequence at which to give practice questions and the points at which to distribute experimenter-prepared worksheets. To provide for uniformity, a l l materials were written to conform with Gagne's (14: 202) scheme for the teaching of rules. Each new learning objective was stated to the students i n order to prepare them for the material which followed. The immediate mathematical prerequisites for the material were reviewed next and only then was the new content taught. At the conclusion of each section of new material, the students were allowed to practice the learned algorithm on a set of exercise questions. Gagne's scheme, as described earlier, was chosen because i t i s a common one i n arithmetic textbooks and would not be particularly d i f f i c u l t for the students to follow. To achieve even further uniformity among classes, teachers were given instructions i n the use of the materials prior to the experimental period. Suggested 50 amounts of material to be covered each session were also indicated to the teachers. The writer ensured that, so far as possible, pattern materials and algebraic materials were parallel in terms of wording, statement of objectives,and sample exercises. Differences in wording occurred only where the type of justification necessitated them. In constructing the materials, the writer f i r s t prepared outlines of the four algorithms for each of the justification approaches. After a panel of judges, composed of members of the Mathematics Education Department at the University of British Columbia, had made suggestions for changes in the manner of justification, a further elaboration of the materials was constructed. Several practicing teachers who were not participating in the study read these elaborations and made suggestions for improvement based on their ability to followsthe material and based on their usual classroom practices. The f i n a l draft of the materials was also read by several practising teachers. A few further corrections were made and following this, the materials were distributed to the teachers involved in the study. SI Materials—Multiplication of a Mixed Number and a Proper Fraction Pattern Approach for the Restricted Version of SI. The presen- tation of the pattern approach for the restricted version of this algorithm, the multiplication of a mixed number and a whole number, consisted of four steps. 1. The students were introduced to the relationship between calculating tie area of a rectangle and multiplication, namely, that computing the product of two numbers can be interpreted as finding the area of a 51 -rectangle for which these two numbers represent measures of the sides. For example, to compute the product of 3 and 2, one could find the area of a 3 by 2 rectangle. 2. Using this area idea, the students were shown how to compute the products of whole numbers and fractions with numerators of 1, such as 3x i . This was accomplished by drawing rectangles with the proper dimensions and calculating the areas of these rectangles. 3. The students were taught to compute products of whole numbers and proper 2 fractions with numerators other than 1, for example, 3 x ^ . Again, the area argument was used. 4. The students were instructed in computing products of mixed numbers and whole numbers by drawing rectangles of the proper dimensions and calculating their areas. The students were told to deal separately with the areas of the whole number by whole number section of the rectangle and the whole number by fraction section of the rectangle. For example, i t was suggested that in computing 2 x 3j , they should separately find the areas of the 2 by 3 rectangle and the 2 by j rectangle as indicated in Figure 7 below, and then write the total product as the sum of these two partial products. Simplification of answers i n this and a l l succeeding sections was not required or encouraged. Figure 7 Area Approach to Multiplication of a Fraction and a Whole Number 52 Pattern Approach for the Extended Version of SI. The presen- tation of the pattern approach for the extended version of this algorithm also consisted of four steps. 1. The students were reminded of the relationship between the area of a rectangle and the multiplication of the two numbers which were dimensions of that rectangle. This was followed by a review of computing the products of fractions and whole numbers, as indicated i n the restricted version sequence above. 2. The students were shown how to compute the product of two fractions, both with numerators of 1, for example, j x ^ . This was accom- plished by f i r s t drawing a 1 by 1 square, then marking off i t s sides into fifths and sixths respectively, and using these marks to partition the unit square, as in Figure 8 below. Figure 8 Multiplication of Unit Fractions i—»te l 5 X 111 r J 3. The teacher explained how to compute the products of any two proper fractions, regardless of the magnitude of their numerators, using, again, portions of a unit square, where the numbers to be multiplied were marked in as dimensions on the sides as in the example of 2 - 3 x f in Figure 9. 53 Figure 9 Multiplication of Two Fractions 4. The students were taught to compute the products of mixed numbers and proper fractions, using the total of the areas of two rectangles as i n stage 4 of the instructional sequence for the restricted version of SI. Algebraic Approach for the Restricted Version of SI. The presen- tation of the algebraic approach for the restricted version of SI was presented in four steps. 1. The students were introduced to the idea that another way of naming a fraction i s by a multiplication expression, for example, ^ renamed as 4 x can be j . 2. Using this idea, they were taught to compute the products of whole numbers and fractions with numerators of 1, 3 x — An example such as was considered to be an instruction to rename the product as the fraction ^ . 3. The teacher demonstrated how to compute products of whole numbers and fractions with numerators other than 1. This was justified using the 3 associative principle of multiplication; for example, 5 x £ was rewritten as (5 x 3) x 1 - 5 x (3 x , then as ^ ), which was i t s e l f rewritten as 15 x 1 JJ; , and then as 15 54 4. The students were shown how to compute products of mixed numbers and whole numbers by using the distributive principle of multiplication overeaddition, rewriting the mixed number as the sum of a whole number and a fractional number. For example, in computing the product 2 x 3 y- t they were taught to use the following procedure: 4 2x3 J = 2 x ( 3 + | ) = 2 x 3 2 + 2x jj and then to add, f therefore, 6 + ^ to calculate the product desired. Algebraic Approach for the Extended Version of SI. The presen- tation of the algebraic approach for the extended version of SI also consisted of four stages. 1. The students were taught to compute the products of fractions and wholes, 4 using the renaming of a fraction as a product. was treated a s ( 4 x ^ ) x 3 = ( 4 x 3 ) x For example, j =12x x3 j ^ = 2. They were shown how to multiply any two fractions, each with numerator of 1. This was accomplished by f i r s t establishing the idea that there i s only one number that can be multiplied by a given number to get a product of 1, namely, the reciprocal of that number. Thus, to show th^, 1 1 1 /1 i for example, x j 20 • ^ teacher would show that 20 x( ^ x ^ = n e i s (5 x 4)x ( | x | ) = (5 x \ ) x (4 x \ / ]j x ^ \ ) =-,1, 14 " 1 1 since 20 x I 5 Z0" 1 1 X ) = 1 x 1 = 1. Therefore = 3. The students were instructed in computing the products of any two proper fractions, regardless of the magnitude of their numerators. ThJs instruction utilized the associative and commutative principles of 2 3 1 multiplication. For example, j x |p would be renamed as 2 x j x 3 x which would then be renamed as (2 x 3) x ( j x j£ ) = 6 x j = 2 \z ' 4. The teacher demonstrated how to compute the products of mixed numbers 55 and fractions,first writing the mixed number as the sum of a whole number and a fractional number and then applying the distributive principle of multiplication over addition to this sum, as i n stage 4 for the restricted algebraic version described above. S2 Materials— Comparison of Fractions Using the Cross-Product Pattern Approach for the Restricted Version of S2. The presen- tation of the pattern approach for the restricted version of S2, comparison of a fraction and a whole number, consisted of four steps. 1. The students were taught that in order to compare two fractions, they could determine which of two shaded regions of two congruent unit diagrams had the greater area. For example, they were shown that the fractions associated with diagram (a) in Figure 10 below must be greater than the fraction associated with diagram (b) i n Figure 10. Figure 10 Comparison of Fractions by Area (a) (b) 2. Because the students were to be dealing with whole numbers i n a fractional form, they were shown how to find other fractional names for 1, for example, as 4- 5 jj or ^ . This was done by indicating the partitioning of a whole into pieces, as shown in Figure 11. 3. The students were taught to use the knowledge that they had gained about ^equivalent names for 1 in order to find fractional names for other whole numbers. Again, they were taught to use diagrams and 56 sum the number of l's needed to arrive at the whole number indicated. For example, they would be expected to find another name for 4 in terms of sixths a s 6 6 6 6 + + 6 6 + 6 6 = 24 The diagram for this might be similar to the one in Figure 12. Figure 11 Fractional Names of 1 Figure 12 Fractional Names for Whole Numbers 4- 4. They were instructed in determining which of a whole number or a fraction was greater by renaming the whole number as a fraction with the same denominator as the given fraction and then comparing the 14 two numerators. For example, to compare 3 and , they would be ex12 14 pected to rename 3 as ij£ , and compare ^ to ^ by comparing 12 to 14 Pattern Approach for the Extended Version of S2. The presen- tation of the pattern approach for the extended version of S2 also involved four stages. 1. The teacher led a discussion about finding equivalent names for a fraction by looking at pairs of diagrams where equivalent areas were 57 shaded. 2. This led to the idea of partitioning a region to find equivalent names for the fraction represented by the region. For example, to find 2 equivalents to j , diagrams such as those i n Figure 13 would be shown. Figure 13 Equivalent Fractions by Partitioning 3. Given two fractions with different denominators, the students were shown that they could always find equivalents for each of these fractions so that the two equivalents had the same denominator, namely, the product of the original two denominators. This was expressed diagram- ma t i c a l l y using the partitioning technique discussed earlier i n stage 2. The students were shown that having done this renaming, i t would be easier to determine which of the two fractions was greater. k. The teacher directed the students to decide which of a pair of fractions was greater by comparing the numerators of their equivalents. Here, the students reviewed the procedure i n stage 3 and were shown that the numerator of one of these equivalents resulted from the multiplication of the original numerator by the original denominator of the other fraction which determined the partitioning. comparing 2T 3 and £ 2 3 , the equivalents to ~ and £ That i s , i n would be 58 8 2JJ and 15 ^ 8 resulted from the m u l t i p l i c a t i o n of the , respectively. 2 j o r i g i n a l numerator of 2 i n by the denominator of the other fraction,, 3 4 i n ~ , and 15 from the m u l t i p l i c a t i o n of the o r i g i n a l numerator of 3 i n ^ by the denominator of the other f r a c t i o n , 5 i i n | • Thus, the comparison of 2 ^ and 3 £ was equivalent to the comparison of 8 20 a n < 15 20 * or 8 and 15, 2x4 and 5x3, the cross products of the two given fractions. Algebraic Approach f o r the Restricted Version of S2. The presen- tation of the algebraic approach f o r the r e s t r i c t e d version of S2 also comprised four steps. 1. The teacher l e d a discussion about comparing fractions with the same denominator by comparing t h e i r numerators. 2. Because the students were to deal with whole numbers, they were shown 4 a method to f i n d f r a c t i o n a l names f o r 1, f o r example, ]j or 4 1 was based on the renaming of, say, as 4 x 5 | . This , defined to be 1. 3. They were taught to use t h i s knowledge to f i n d f r a c t i o n a l names f o r other whole numbers. This development made use of the properties of m u l t i p l i c a t i o n by 1 and a s s o c i a t i v i t y of m u l t i p l i c a t i o n . For example, I) to f i n d another name f o r 2, they would rewrite 2 as follows: 2 = 2x1 = 2 x (3 x = (2 x 3) x _ , 1 = 6 x j j 6 " 3 * 4. The students were shown that to compare whole numbers to fractions they could rename the whole number as a f r a c t i o n with the same denominator as the given f r a c t i o n and then compare numerators. 26 24 to compare 4 and —jr , they would rename 4 as — . For example, 59 Algebraic Approach for the Extended Version of S2. The presen- tation of the algebraic approach for the extended version of S2 also involved four stages. 1. The students were taught to find equivalent expressions for a given fraction by multiplication by some form of 1. 2. In particular, the teacher explained they might multiply using some reciprocal product form of 1 without changing the value of an 2 expression. For example, they might rename — 5 ^ = 5I x l x ( 3 x | = (2 x j ^ ) x (3 x = (2 x 3) x ( | x as follows: ) ^ ) | ) = 6 x ( 5 x | ) 3. Given any two fractions, the teacher instructed them to multiply each by some form of 1 so that the unit fractional parts of the renamed 2 3 quantities were the same. For example, for j and ^ , they would rename o - i ) x (4 x j as (2 x £1 ) and £i as (3 x 1 x 5 ) x (5 This was done to make i t easier to compare the two fractions ^ 5 51 ). and since now both were written as multiples of a given quantity, 1 1 namely, £ * 2 3" • j i s (2 x 4) multiplied by this quantity and i s (3 x 5) multiplied by this quantity. ^ 4. The students were asked to compare the expressions to decide which was the greater. They would now be comparing the two multiples of ^ x ^ , (2 x 4) x ( f x and (3 x 5)x ( 5 x j ). I t was shown that these multiples could be compared by simply comparing 3x5. 2x4 and further, that these products could be considered as the crossproducts obtained from the original two fractions. with 60 CI Materials— Converting a Fraction to a Decimal Pattern Approach for the Restricted Version of CI. The presen- tation of the pattern approach for the restricted version of this algorithm, conversion of specific fractions to terminating decimal equivalents, consisted of six stages. 1. The students were introduced to decimal notation for tenths and then for hundredths and thousandths by analogy to the place lvalue positions to the l e f t of the decimal point. That i s , just as 1 i s of 1 0 , since 1 0 x 1 = 1 0 , to name the decimal place to the right 1 1 of 1 , one looks at fn of 1 , or JQ . Diagrams were used to indicate the relationships between place holder names. 2 . The concept of the equivalence of mixed number, decimal, and improper fraction names for the same number was developed. 2 For example, 4 2 in the case of the equivalence of 4 . 2 , 4 J Q , and , a diagrams was drawn representing four wholes and two tenths i n which the wholes were later partitioned into tenths and then the tenths totalled, as i n Figure 1 4 . equivalence of 5.28, 5 Similarly, the students were shown the and Figure 1 4 f§ot , again using diagrams. Equivalence of Mixed Numbers and Improper Fractions § &2 7/ z ~7/ zzz: 61 The students were also shown that they might write, say, '42'tenths' for later convenience in dividing. as In particular, the students were told that a whole number such as 8 could be rewritten as 8.0, 80 tenths, 8.00, 800 hundredths, 8.000, or 8000 thousandths. 2. The students were introduced to division of a decimal by a whole number, for example, 1.5-j- 3 • The partitioning explanation of the division process took the form of f i r s t indicating that i f 1.5, or 15 tenths, were to be equally divided into three groups, each group would contain 5 tenths and therefore could be represented by .5 Diagrams such as the one shown in Figure 15 below werei f i r s t used and later a more standard division algorithm was employed. Figure 15 Division of a Decimal by a Whole 1.5 3 = 15 tenths T 3 tenth tenth tenth tenth tenth tenth tenth tenth tenth tenth tenth tenth tenth tenth tenth 5 tenths 5 tenths 5 tenths 4. The interpretation of the fraction bar as a division sign was developed c by the teacher. First, the equivalence of ^ and c v d was shown for fractions whose numerators were multiples of their denomina- 62 tors. In these cases, the students were taught that finding a whole number name for the fraction involved computing the number of "groups of the denominator i n the numerator"; i t was indicated that the whole number name could, therefore, be calculated by dividing the 12 1 numerator by the denominator. For example, to show that interpretable as was 12 -r 4, a diagram such as the one i n Figure 16 was used, where the twelve fouths were grouped into units and the total number of units counted. Figure 16 n xa Equivalence of ^to:; n x a ~ a s n : a a 5. Once the students were made aware of the interpretation of the fraction bar as a division sign, the teacher discussed how this could be extended to any fraction, First, improper fractions were used with the partitioning interpretation of division. minded that one meaning of c The students were re- d is the numerical value of 'c' objects shared equally among 'd groups. Thus, 11-^-5 i s the size of each share 1 when 11 objects are shared equally by 5 groups. The students were shown that one could put two objects i n each of the 5 groups for the 11 r 5 question, but that one object would be l e f t . Then the remaining 63 object could be cut into fifths and one f i f t h placed on each group, so that 11 ~ 5 would be 2 f -|, or 2 Each whole would then be 11-V5 was found to be partitioned into fifths and tj +j +j = ^ The interpretation of the fraction bar as a division sign was then 3 extended to any proper or improper fraction. For example, 3 ~ 4 = £ would be illustrated using the diagram shown in Figure 17. Figure 17 Equivalence of ^ 3 and a 0 0 4 V a a V V 6. The students were asked to find the decimal equivalents for fractions chosen to produce terminating decimals upon conversion. The students had earlier been shown that then could set up the computation k )3 is as: since they knew that another name for a fraction such as 3 "T 4. ^ Based on their earlier experience with decimals, the students were allowed to rename 3 as 3«°0 or 3«000, convert these expressions to the names '300 hundredths 1 or '3000 thousandths', respectively, and then divide. Pattern Approach for the Extended Version of CI. Ttte presen- tation of the pattern approach for the extended version of CI consisted of two stages. 1. The interpretation of the fraction bar as a division sign was retaught 6 4 as indicated in stage 5 above using the diagram approach there indicated. 2 . The students were then given fractions whose decimal equivalents did not terminate and were taught to approximate these equivalents to three decimal places using the pattern approach indicated in stage 6 of the restricted version, pattern approach. y For example, to convert to a decimal, they would rename '5' as 5.000 or 5000 thousandths and divide 500 thousandths by 7 Algebraic Approach for the Restricted Version of CI. The presen- tation of the algebraic approach for the restricted version of CI consisted of the same six subtasks as those for the pattern approach for the restricted version. 1. The students learning by the algebraic method, too, were introduced to decimal notation for tenths and then for hundredths and thousandths. An analogy was made to the place value positions to the l e f t of the decimal point. That i s , just as 1 i s of 10, since 10 x 1 = 10, to name the next decimal place to the right of 1, one solvessthe equation : 10 x CJ = 1 . Since 10 x ^ 0 = 1, the place to the right of the ones place must be the tenths place. 2 . The teacher led a discussion about the equivalence of mixed number, decimal, and improper fraction names for fractions. 2 they were taught to rename For example, 4 2 4 . 2 as 4 JJJ, and then JQ . This was accomplished by using the property that multiplication by 1 does not change the value of an expression and by knowledge that the product of any number and i t s reciprocal i s 1. Therefore, to find 2 an improper fraction name for 4 jg- , they would rename follows: 4 as 65 4 = 4x1 = 4 x (10 x ) = (4 x 10) x £ Q ^0 =40x 40 " 10 and then 2 4 JJJ = 4.2 = 40 2 jrj + JQ - 42 . Similarly, the students had an opportunity to convert decimals of the form 'a.be into 1 hundredths. These students were also told to rename a fraction with, 42 say, denominator 10, for example JJJ-, and to write this as '42 tenths', for later convenience in division. 3. The students taught by the algebraic method were introduced to division of a decimal by a whole number i n terms of missing factors multiplication. For example, to calculate 1.5 4- 3. they were told 3 xD they should try to find the value of O so that thus, they would see that t i = (15 tenths) ^ 3 = =1.5 = 15 tenths; 5 tenths = .5 Later the pupils were allowed to use a standard division algorithm to find answers to such questions. 4. In showing in an algebraic manner that a fraction bar i s equivalent to a division sign, fractions equivalent to whole numbers were 12 used f i r s t . Since the students had been taught that, say, 1 = 12 x i t was now suggested they might rewrite 12 as a product so that one of i t s factors would be 4, so they now would be expected to say: 12 ^ - ±6 x 1^ = (3 x 4) x = 3 x (4 x = 3x1 = 3. | I ) 66 Thus, they were taught to solve for Q i n 12 = D x 4, or in i t s equivalent statement, D. = 12 4"4. 5. This same procedure was extended to other improper fractions and later proper fractions. The students were reminded that i f b x Q = a, then D = a -f-b; so, to see i f , for example, 3 = 11 -f 5. they would be expected to multiply ^ by 5 to see i f they got 11. i 11 3 They might write! x 5 = (11 x 5)x5 = 11 x ( 5 x | ) = 11 x 1 = 11. Then, since i|x 5 = 11, 11 T 5 = ^ . 6. These students were asked to calculate the decimal equivalents for those fractions which were chosen to produce a terminating decimal upon conversion. They would rename the numerator as a fraction with denominator 10u or 100 or 1000 before proceeding with the division required for the conversion. Algebraic Approach for the Extended Version of CI. The presen- tation of the algebraic approach for the extended version of this algorithm consisted of two stages. 1. F i r s t a review of the interpretation of the fraction bar as a division sign using algebraic methods as indicated i n stages 4 and 5 above was conducted. 2. These students were taught to convert fractions with nonterminating decimal equivalents to their three place approximations. For example, to convert ^ to a decimal, theyjmight r e c a l l that ^ is another name for 5 -f- ?, which i s another name for 5000 thousandths -^17; to find the decimal, they would use the latter form of ^ . 67 C2 Materials— Finding the Square Root of Fractions Pattern Approach for the Restricted Version of C2. The presen- tation of the pattern approach for the restricted version of algorithm C2, finding the square roots of such fractions as have perfect squares for both numerator and denominator, consisted of six stages. 1. The students were introduced to the relationship between calculating the area of a rectangle and multiplication of the two numbers which are measures of the rectangle's length and width. 2. They were shown how to apply this relationship to computing f i r s t the products of unit fractions like ducts of any two proper fractions. j x £ and then the pro- Diagrams such as those indicated in Figure 18 were used. Figure 18 Diagrams to Show Multiplication of Two Fractions 3. Next, they were taught the meaning of the term 'square root'. Using whole numbers only, they were shown a method for drawing a l l of the rectangles with a given area; they were told to take that rectangle which also happened to be a square and c a l l i t s side length the square root of the area. 16, For example, for computing the square root of they would be expected to draw the rectangles indicated in 68 Figure 19. They would then be expected to realize that diagram (c) was a square and thus,that and that 4 = Il6 i s equivalent to 4 x 4 = 16. Figure 19 Using'Rectangles with a Given Area to Find a Square Root TT (a) (e)r (b) Fractions with perfect squares for numerator and denominator were developed next. For example, for finding the square root of » the students were told f i r s t to partition a unit square into 25 congruent pieces to form the 'units' of the rectangle to be formed 16 with area 25 • The diagram they might begin with could look like the one i n Figure 20(a) below. It was then suggested they draw rectangles with the shaded area, as i n Figure 20(b); they could then compute the square root, in this case, 20(c). , as indicated in Figure 69 Figure 20 Diagrams to Compute (a) 2k> 25 (b) 7 7 7 ,1 7 4 The teacher would then discuss that since ^ 16 4 x students could just as easily dompute ^~l6 and J25 ^ = 25 » the separately, as was essentially the case by separating the step shown in Figure 20(a) / Yl6 v from that shown in Figure 20(c), and then form the fraction^25 Thus, computing the square root of a fraction was seen to involve simply finding the square roots of the two wholesnumbers named by the numerator and the denominator. 5 . The issue of what to do to find the square roots of large whole numbers where the drawing of rectangles became inconvenient was introduced; the students were shown how they might use an iterative division procedure to compute this number. The approach was as-follows: After making an i n i t i a l guess.cfor the square root, say, a guess of 11 for J~44l, they might try to sketch a rectangle of length 11 and area 441 and see i f the width of this rectangle were also 11. 11 would be J441. the width. If so, then Alternatively, they might divide 441 by 11 to find They might observe that the width was not 11, would have a rectangle of length 11, so that i t is not a square. so they but width much greater than 11, Because this rectangle was too wide for the length to be a square, i t became necessary to try a larger number 70 for the length. The students were taught to choose a number between 11 and 40, say, 25. They would repeat the procedure until the re- sultant width equalled the length chosen, i n which case, the square root would be computed. After some experience with this procedure, there was discussion about the choice of i n i t i a l guesses in terms of 2 2 2 2 comparison of/the square with 10 , 20 , 30 , and 40 . The students were then taught to apply this same technique to numerators of fractions which were perfect squares, and whose denominators were perfect squares less than 100, and so were within the realm of the multiplication facts of the students. In this way, the transition from the whole number procedure was direct. Pattern Approach for the Extended Version of C2. The presen- tation of the pattern approach for the extended version of C2 consisted of three steps. 1. The students were led in a discussion reviewing the iterative procedure for finding the square roots of whole numbers as indicated in stage 5 above. 2. The students were then taught to find approximate square roots of whole numbers which are not perfect squares. For example, to compute \) 10, they would be expected f i r s t to see that the answer must be between 3 and 4, say, 3+0 , where "Q. i s less than 1. So a square would be drawn as in Figure 21 and the teacher would l i s t the areas of the numbered sections of the square i n order ofnsize and remind the students that the total of these areas would be 10. 71 Figure 21 The Binomial Square for Approximating Square Roots 3 a 7 *—• Therefore, the students would compute the area of section (1) to be 9, of sections © a n d $ to be Hx 0 3x Q each, and of section @ . They would then write: 9 + (3 x Q -<£ 1. It was explained that since of the area would be close to 10, or about 10. ) + (3 x D 9 + (3 x • to be Q x Q = 10. ) + Therefore, the rest ) + (3 x 0 They were taught to rename (3 x D ) + (3 x D ) « They would then solve the equation and find that Q ) is 6 x f] . was about ^ . The allowable margin of error on a l l problems was 0*0^ j . Since the area of section © , QxQ = ^ 6 was less than | , the students agreed to be satisfied with their approximation of ^10~ ^ 3 ^ • 3. The students were taught to extend this approximation technique to fractions with denominators which were perfect squares, but numerators which were not perfect squares. The denominators were small to ensure that no question required too great a time for solution. Algebraic Approach for the Restricted Version of C2. The presentation of the algebraic approach for the restricted version of C2 consisted of six stages. 1. The teacher demonstrated a procedure for computing the product of two unit fractions and then any two proper fractions. To multiply 72 two unit fractions, i t was suggested the students might f i r s t guess an answer, for example, that ^ x ^ = g- . The teacher then-dis- cussed the idea that this could be true only i f 8 x ( ^ x )=1 because only one number could be multiplied by 8 to get 1,namely, g' . The students were then instructed to rewrite 8 as 4 x 2 and show that i t follows that: x 8 x ( | J) = ( 4 x 2 ) x ( | x £ ) = (4 x | = ) x (2 x \ ) 1x1 = 1. From this, the pupils agreedtthat 1 2 2. To multiply any two fractions, say, x ^ 1 4 x m u s ^ indeed be ^ 8 1 , they were taught to use the associative and commutative principles of multiplication and write 5 x rjx^ 1 £ as follows: = (5 x £)x(3x £ ) = (5 x 3) x ( \ x I ) = 15 x | 4 3. if- The students were introduced to the meaning of the term 'square root'. Using a whole number, the teacher listed a l l pairs of whole number factors whose product was that number. The class was asked to look on the l i s t for a pair where the two factors were identical. If such a pair was found, the factor was called the square root of the product. Ur. The students were led to discussing fractions with perfect squares for V16 numerators and denominators. taught to rewrites %j = 16 x For example, to c o m p u t e ^ , they were \<j ' T n e students were then to look for a l l the facts they could for this product, for example, (16 x 25 ) x 1, 73 (8 x j ) x (2 x ^ ), looking for a pair with two i d e n t i c a l f a c t o r s . They were then shown that they could separately compute l l 6 V T then regard the fraction^j^" as i f itrwere 5. and-^25 and • . In order to compute the square roots of large whole numbers where i t became impractical to l i s t a l l of the f a c t o r pairs f o r this number, these students were shown the i t e r a t i v e procedure, using d i v i s i o n , to compute square roots. They were told to make an i n i t i a l guess f o r the square root, say, 11 f o r ]^44l. They were then t o l d to determine whether replacing D. by 11 i n the equation To compute the value of Q 11 x 0 = 441 would make i t true. , they were taught to divide 441 by 11. t h i s case, the quotient would be considerably greater than 11. In They were next to compare the two f a c t o r s , the d i v i s o r and the quotient,,to see i f they were equal; i f not, i t was explained that they might r a i s e the value of t h e i r f i r s t guess or lower i t by choosing a number between that f i r s t guess and the quotient obtained and using this number as a next guess. They were shown that r e p e t i t i o n of t h i s procedure would close i n on the appropriate square r o o t . 6. This same technique was then^applied to f r a c t i o n s which hadtperfect squares f o r both numerator and denominator. In a l l cases, the numera- tors of these f r a c t i o n s were large enough to require the procedure discussed i n step 5. but the denominators were small enough so that the square root would be immediately known to the students. Algebraic Approach f o r the Extended Version of C 2 . The presen- tation of the algebraic approach f o r the extended version of this algorithm consisted of three stages. 1. The students were l e d i n a review of the i t e r a t i o n procedure f o r computing square roots of whole numbers as described i n stage 5 above. 74 2. The teacher then explained how to f i n d approximate square roots of whole numbers which were not perfect squares. For example, to f i n d i l O , the students were shown that they might f i r s t decide that the answer was between 3 and 4, say, 3 since (3+ D + 0 , where Q i s less than 1. Then, ) x (3+ Q ) = 10, the students were taught how to multiply out the l e f t hand side of the equation, r e s u l t i n g i n 9 + (3 x D D ) + ( & x ^ ) + (3 x ) = 10. I t was shown that since ]H^1, Q x tl -^1. and the students' attention was drawn to the f a c t that 9 + (3 x 0) + (3 x Q could be renamed as that Q than that 6 x would be about ^ ^ Q ) i s almost 10. Because (3 x Q ) + (3 x Q , the students would be expected to see . Then,since tlx D = §6 w n i° n ^ s X 9 S S » the allowable margin or error, the students would agree 3 £ would be an acceptable approximation f o r So. 3. The students were l e d to extend the approximation technique to fractions with denominators which were perfect squares but with numerators which were not perfect squares. MEASURING INSTRUMENTS C r i t e r i o n Pretests Each of the c r i t e r i o n pretests f o r the four algorithms cons i s t e d of free response items designed to test knowledge of that a l gorithm's immediate mathematical prerequisites, as determined by a panel of judges. The pretests were given i n order to adjust c r i t e r i o n scores for differences among classes i n 'readiness' f o r the i n s t r u c t i o n a l material. KR-20 r e l i a b i l i t i e s were calculated f o r each pretest and each c r i t e r i o n t e s t to provide evidence about the extent to which each test could be considered a consistent measure of a single a b i l i t y . These ) 75 measures were also used to indicate the probable stability of the tests over short intervals of time. An alternate forms r e l i a b i l i t y coefficient with a delay equal to the duration of the experiment would be expected to be l i t t l e lower than the immediate alternate forms coefficient, of which the KR-20 can be taken to be an estimate. This i s so particularly because cognitive abilities are likely to be f a i r l y stable, and these are the abilities being measured. It was decided that any r e l i a b i l i t y less than .8 would be considered as unacceptable, for, in such cases, over 20$ of the variance i n test scores could be attributed to factors extraneous to those being measured, including error of measurement. Figures 22-25 indicate the content and number of items for each of the pretests for SI, S2,C1, and C2, respectively. Also indicated are the KR-20 r e l i a b i l i t y coefficients for each of these four tests. It should be noted that a l l of these r e l i a b i l i t i e s exceeded .80J and were, therefore, considered acceptable for the experimental purposes. Figure 22 Pretest for Algorithm SI Prerequisites for SI Number of Items Multiplication Facts Rewriting a Mixed Number as a Sum Use of a Diagram to Represent a Fraction Property of Reciprocals Renaming of a Fraction as a Multiplication Expression Calculating the Area of a Rectangle 1 as a Multiplicative Identity Commutativity and Associativity of Multiplication Distributive Property of Multiplication over Addition Conservation of Area of a Rectangle KR-20 r e l i a b i l i t y coefficient = .90 (based on 201 subjects) 10 4 5 3 3 5 4 3 3 2 42 76 Figure 23 Pretest for Algorithm S2 Prerequisites for S2 Number of Items Multiplication Facts Use of a Diagram to Represent a Fraction Use of Diagrams to Find the Sreater of Two Fraction Representations Use of Diagrams to Find Fractional Names for 1 Property of Reciprocals Commutativity and Associativity of Multiplication Renaming of a Fraction as a Multiplicative Expression Preservation of an Inequality, after Multiplication 10 5 5 3 3 3 3 _j. 35 KR-20 r e l i a b i l i t y coefficient = .84 (based on 296 subjects) Figure 2'4J Pretest for Algorithm CI Prerequisites for Gl Number of Items Use of a Diagram to Represent a Fraction Division to Solve a Sharing Problem Long Division Skills Inverse Relation of Multiplication and Division Property of Reciprocals Renaming of a Fraction as a Multiplicative Expression Commutativity and Associativity of Multiplication One as a Multiplicative Identity KR-20 r e l i a b i l i t y coefficient = .90 (based on 204 subjects) 5 5 5 5 2 3 3 2 30 77 Figure 25 Pretest for Algorithm C2 Prerequisites f o r C2 Number of Items M u l t i p l i c a t i o n Facts Inverse Relationship of M u l t i p l i c a t i o n and Division Use of a Diagram to Represent a Fraction Property of Reciprocals Renaming of a Fraction as a M u l t i p l i c a t i v e Expression 1 as a M u l t i p l i c a t i v e Identity Commutativity and A s s o c i a t i v i t y of M u l t i p l i c a t i o n Computing the Area of a Rectangle Lond D i v i s i o n S k i l l s 10 5 5 2 3 2 3 5 _5_ 40 KR-20 r e l i a b i l i t y c o e f f i c i e n t = .90 (based on 235 subjects) C r i t e r i o n Computation Tests The computation tests f o r each of the four algorithms cons i s t e d of free response items designed to test the students' a b i l i t y to perform that algorithm. Figures 26-29 indicate the content and number of items f o r each of the computation tests f o r SI, S2, CI, and C2, respectively. Also indicated are the KR-20 r e l i a b i l i t y c o e f f i c i e n t s . Figure 26 SI Computation Test Content Number of Items Products of Fractions and Whole Numbers Products of Mixed Numbers and Whole Numbers Products of Two Fractions Products of Mixed Numbers and Fractions 6 6 6 _6 24 KR-20 r e l i a b i l i t y coefficient = .94 (based on 201 subjects) Figure [-Z7 S2 Computation Test Content Number of Items Comparison* of.saiFraetion andi.a Whole Number 9 Comparison of Two Proper-Fractions 9 Comparison of Two Improper Fractions _9_ 27 1 KR-20 r e l i a b i l i t y coefficient = .95 (based on 232 subjects) Figure 28 CI Computation Test Content Number of Items Conversion of a Fraction to a Terminating Decimal Conversion of a Fraction to a Nonterminating Decimal 8 10 18 KR-20 r e l i a b i l i t y coefficient = .93 (based on 193 subjects) Figure :29 C2 Computation Test Content Number of Items Finding the Square Root of a Perfect-square Fraction Finding the Square Roo.t of a Nonperfect-Square Fraction 8 _7_ 15 KR-20 r e l i a b i l i t y coefficient = .92 (based on 225 subjects) 80 Criterion Extension Tests Each of the extension tests for the four algorithms consisted of 30 free response items. The tests were based on five types of items designed to measure the abilities to: 1) shortcut the algorithm in particular cases (Type A), 2) solve equations with a missing operand requring use of the algorithm (Type B), 3) extend the algorithm to more than two operands (Type C), 4) use the algorithm with number forms other than the type studied (Type D), and 5) explain an alternate version of the algorithm (Type E). These tests were administered in order to see whether j u s t i f i cation treatments affected the ability of students to extend, as measured by these tests, as well as the ability to compute. Types of extensions A,C, and D included in the tests are frequently used in arithmetic classes to extend already learned material. Types B and E were included as measures of the student's knowledge of the processes involved in the algorithm studied. An example of a Type A question might be, 1 1 1 "If you know that 81 63 5103 * ^ ^ also t e l l that = x 81 * 65 = ^ might be," If * ^ "A " s 7 ^ o u c o u Type B question 6 8 6 x 18 i>13 x 8, which is greater: or jjg ?" i a t * - n e x a m Pl e °f a An example of a Type C question for algorithm SI might be," What i s (6 x 2. — ) x 1 5 o ?" An example of a Type D question for this 2 2 algorithm might be, "Find j x 24 r ." An example of a Type E question might be, " Susie has suggested another rule for finding the decimal equivalent for a fraction . She multiplies each of the numerator and by ten, and then she divides the denominator into the numerator. For 81 example, to find the decimal for ^ , she divides 50 into 30 , or 50 into 300 tenths to get an answer of 6 tenths. She claims that her answer i s always correct and the same as the one the teacher gets by using the method taught in class. Will Susie always get the right answer? Why do 5_ you think so? Show how Susied would find the decimal for g and explain why her method seems to work." The SI extension test consisted of eight Type A, six Type B, five Type C, four Type D, three Type B-C, and four Type E questions. The KR-20 r e l i a b i l i t y coefficient, based on 200 subjects, was found to be .83. The S2 extension test consisted of eight Type A, six Type B, eight Type C, four Type D, and four Type E questions. The KR-20 r e l i a b i l i t y coefficient, based on 198 subjects, was found to be .82. The CI and C2 extension tests each consisted of eight Type A, nine Type B, nine Type D, and four Type E items. The KR-20 r e l i a b i l i t y coefficients for the CI test, based on 184 subjects, was found to be .80 and for the C2 test, based on 224 subjects, was found to be .88. It should be noted that a l l of the extension tests had r e l i a b i l i ties of at least .80 and were judged, therefore, to be adequate for the purposes of this study. STATISTICAL PROCEDURES The statistical analyses described below were performed in parallel fashion for a l l four algorithms. Because intact groups were .the only ones available to the writer, i t was decided to use a covariate measure, the score on the criterion pretest, to adjust for differences among the groups in entering mathematical s k i l l s . However, as Lindquist (25:9) has pointed out, one must also consider Type G 82 error, where there may be factors with one effect on the members of a particular treatment group, ancka different effect or no effect on the members of another treatment group, particularly when using intact classes. Such a factor might be teacher a b i l i t i y differences or group rate of learning differences. In order to minimize the possibility of a Type G error, a groups-within-treatments design was selected for the comparison of the pP-aA treatment groups. Wright(48:3) discussed two types of groups-within-treatments analyses, one with the subject as the unit of analysis and one with a pooled subject and group analysis. As was discussed earlier, a decision about which of the two designs to use might be based on the amount of variance contributed by the groups-within-treatmBnts factor. The legitimate unit of analysis must be class groups because i t was groups that were randomly assigned to treatments and because only such an analysis can adequately cope with Type G error. However, as can be seen from the analysis of covariance model below, a simpler model could be achieved i f the term £ .... could be deleted, that i s , i f statistical and logical considerations strongly suggested that differences among groups within treatments were zero i n the population. This deletion would have been justifiable had the groups been constituted randomly. The' legitimate deleting of ^ j ( i ) f r o m t n e model would permit the use of a subjects-within-groups-within-treatments error term, with greatly increased statistical power. Despite the possibility othat the classes may have not been considered equivalent in a l l possible relevant measures, for example, IQ measures, i t was decided to test the hypothesis that the ^.,. \ were zero. This was done at the .25 level of significance to reduce the likelihood of falsely accepting the hypothesis The purpose of making this test was to see 83 whether , but for the nonrandom assignment.' of subjects to groups, a simpler and more powerful model would be justified. If so, then an alternative analysis would be available— an analysis which, though requiring careful interpretation because of possible nonrandomness of assignment of subjects to groups— might provide additional useful information. Although the groups-within-treatments analysis was used to analyze the pP-aA treatment comparisons, a non-nested design was necessary for the pA-aP comparisons because only one class unit was obtainable for each treatment. Thus, for the pA-aP analyses, subject and group factors were necessarily confounded, making findings indicative rather than dependable. Because of the likelihood of a substantial positive correlation between scores on the computation and extension tests for each algorithm, analyses were f i r s t performed using a multiple analysis of covariance model to obatin an overall test of significance. Later, the univariate tests for the two dependent variables for each algorithm were performed. The multiple analysis of covariance, or MANOCOVA, model for the pP-aA test i s : ih where: + general level parameter of the h ih Z j(i)h response th effect of the justification treatment i on h response effect of the group condition j nested i n treatment i on the hth response 8 4 = effect of the con.comitan.bx variable of pretest score X I h i jk i for person k in group j within treatment i on the £, ijkh h response = usual multinormal random variable error term for h response for person k i n group j within treatment i It should be noted that i n the notation above, h = 1 or 2; h = l for the criterion computation test, and h = 2 for the criterion extension test. In this model, i = 1 or 2, depending on assignment to the pP or aA groups, and j = 1, 2, or 3» depending on assignment to a particular class within a treatment. The MANOCOVA model for the pA-aP test i s the same with the exception of the missing ^j(i) n term for groups-within-treatments effects. Thus, for the pP-aA tests, the F-ratio computed was based on a measure of the between-groups matrix of sums of squares and sums of products and the between-justification-treatments matrix of sums of squares and suras of products. For the pA-aP tests, the F-ratio): computed was based on a measure of the between-justification-treatments matrix of.sums of squares and sums of products and the error matrix of sums of squares and sums of products. The F-ratio used i n these multivariate tests i s that due to Rao (Tatsuoka{44J:200). I t i s discussed in more detail i n the following chapter. 85 Chapter 4 RESULTS OF THE STUDY RESULTS The means and standard deviations for the scores on the pretests, computation tests, and extension tests for algorithms SI, 61, S2, and C2 are shown i n Tables 1, 2, 3, and 4, respectively. In a l l tables, scores are supplied for these justification treatments: pattern only (pP), a l gebraic only (aA), pattern followed by algebraic (pA), and algebraic followed by pattern (aP), as well as for individual classes involved i n each treatment. Classes are numbered i n these tables as on page 45. Table 1 Means and Standard Deviations for SI Pretest, Computation Test, and Extension Test Pretest Mean S.D. Computation Mean Extension S.D. Mean S.D. Treatment pP 26.2713 (5-9561) 15.0247 (6.9946) 4.0370 (3-1283) Class 1 Class 2 Class 3 24.2903 (6.0619) 25.6667 (6.5080) 28.5312 (4.8326) 16.1613 (7.2300) 11.0566 (5.6305) 16.1562 (6.8208) 2.4194 (2.2624) 3.2222 (2.4628) 6.0625 (3-1206) Treatment aA 31.9844 (6.4359) 13.4000 (7-5763) 7.1538 (4.3020) Class 4 33-8928 (6.5283) Class 6 28.3448 (4.7905) 13-0714 (7.2210) 23.1250 (0.6409) 11.0345 (6.9204) 5.6429 (4.1563) 11.8750 (3.8336) 7.3103 (3-6460) Treatment pA 24.3333 (6.0265) 11.2500 (6.8414) 3.9167 (3-2958) Treatment aP 32.4666 (5.6553) 22.8000 (1.9714) 9.6667 (4.2873) Maximums 42 24 Class 5 38.5000 (2.1381) 30 86 Table '2 Means and Standard Deviations f o r CI Pretest, Computation Test, and Extension Test Pretest Mean S.D. Computation Mean S.D. Extension Mean S.D. Treatment pP 16.4?42 (5.6997) 7.2564 (5.0874) 1.2308 (1.5536) Class 1 Class 2 Class 3 14.2308 (4.9259) 13.6875 (5.2373) 19.3333 (5.1659) 6.2692 (4.2854) 5.6875 (4.6003) 8.6667 (5.5549) 1.2308 (1.3056) 0.5000 (1.0954) 1.5556 (1.7959) Treatment aA 21.0665 (5.8682) 9.4500 (5.1599) 3.916? (3.6233) Class 4 Class 5 Class 6 18.3750 (6.5196) 26.3750 (2.1998) 21.8571)(4.7276) 7.8750 (5.2859) 16.2500 (1.5811) 8.8571 (4.1786) 2.0833 (2.1853) 10.8750 (2.9001) 3.5000 (2.2194) Treatment pA 16.3667 (6.910?) 7.2000 (5.6715) 2.6000 (2.3134) Treatment aP 24.5000 (4.4004) 17.8333 (0.3895) 4.0833 (2.8110) Maximums 30 18 30- 87 Table 2J Means and Standard Deviations f o r S2 Pretest, Computation Test, and Extension Test Pretest Mean S.D. Computation Mean Extension Mean S.D. S.D. 26.3330 (5.0805) 23.6126 (4.5684) 9.4086 (4.7873) 25.7273 (4.6856) 28.4193 (4.6100) 24.7931 (5.4076) 23.575? (5.5511) 23.5806 (4.2172) 23.6897 (3.7807) 6.6667 (3.4157) 12.0323 (3.9029) 9.7241 (5.3911) 28.2561 (4.4207) 19.0254 (8.2791) li.l41P (4.7392) 33.5882 (1.9705) 2?.6552 (2.5394) 25.9688 (4.4030) 24.9412 (3.0919) 12.7931 (7.6410) 21.5312 (7.1119) 16.1765 (4.2461) 8.1379 (3-3988) 11.1875 (3.7021) Treatment pA 26.4737 (4.4643) 19.1053 (7.7810) 7-8421 (6.0485) Treatment aP 27_.3448_ (4.5378) 19.2069 (8.5956) 9.7241 (4.6051) Maximums 35 27 Treatment pP Class ?L Class 8°. Class 9) Treatment aA Class 10 Class H Class 12 30 38 Table 4 Means and Standard Deviations f o r C2 Pretest, Computation Test, and Extension Test Pretest Mean Computation S.D. Mean S.D. Extension Mean ; S.D. - Treatment pP 26.0975 (7.0944) 8.3369 (4.6392) 6.0543 (4.5918) Class % Class Si Class 9J 23.0000 (7.1694) 30.6000 (5.7871) 24.8387 (6.0888) 4.6977 (3.9029) 10.0000 (4.3865) 10.0968 (3.7090) 2.1290 (1.9957) 9.0000 (4.4952) • 7.1290 (3.8275) 28.6873 (6.5556) 8.7375 (5.2476) 9.2375 (5.4290) 35.5000 (4.0988) 26.1000 (5.7317) 27.7647 (6.0756) 13.2500 (2.5690) 3.5333 (3.2455) 11.2059 (3.5911) 16.6250 (4.0146) 5.5000 (2.9798) 9.0588 (4.0297) Treatment pA 25.5625 (7.1830) 8.0000 (4.7889) 5.5625 (5.7268) Treatment _aP 28 0000 _ (_6 ^9282) 8 .^7_ _2_(_5 3_8l6)_ 7_._3810 (5.2199) Maximums 40 Treatment aA Class 10 Class 331 Class 3& L 6 1 15, 30 89 Examination of the proceeding means and standard deviations suggests the likelihood of a groups-within-treatments effect in terms of both the great differences among group means within treatments and also the great differences among groups variances within treatments. It i s pariticularly those groups with exceptionally high means on the criterion tests which show unusually small within-group variance. This may be noted by examining the means and standard deviations for class 5 and group aP in Tables 1 and 2, and class 10 i n Table 3« This situation might have resulted fromaa Type G error arising from differences in teacher abilijsy/or possibly from a teacher-treatment interaction leading to a ceiling effect which prevented many subjects from scoring much higher than the group's mean score. Analysis of the da;fca, therefore, demanded particular attention to the usual assumption of homogeneity of variance for groups for an analysis of variance test. However, based on Norton's (Lindquist jj25j:83) study of the effect of marked heterogeneity of varianas on the form of the F-distribution, the writer decided to proceed with the analysis of variance design originally proposed. Norton suggested that although the F-test i s robust with respect to violation of the homogeneity of variance assumption, one should consider that a 5$ level test of significance might, i n fact, be a 7$ or 8$ level test, given violation of the variance assumption ( Lindquist [25J : 8 3 ) . It was decided, as well, that any significant results among the pP-aA comparisons would be reexamined using nonparametric s t a t i s t i c a l methods where the assumption of homogeneity of variance i s not required. The pretests for the four algorithms were administered to obtain covariates to adjust for: differences i n immediately prerequisite knowledge for study of the experimental material. However, the correlation 90 c o e f f i c i e n t s i n d i c a t i n g the degree of l i n e a r r e l a t i o n s h i p between each of the pretests and the corresponding measures were examined prior to the use of analysis of covariance to ensure that such an analysis was warranted. These c o e f f i c i e n t s of c o r r e l a t i o n f o r treatments and f o r groups-withintreatments f o r the computation and extension tests are shown i n Tables 5 and 6 below. Also shown are the regression c o e f f i c i e n t s f o r the l i n e s used to adjust c r i t e r i o n scores based on pretest scores, i n Tables 8 and St The regression slopes were examined to check f o r v i o l a t i o n s of the homogeneity of regression assumption f o r analysis of covariance. Table 5 Correlations of Pretest Scores with Computation Scores for SI, CI, S2, and C2 S2 SI CI e r a l l pP-aA .2756 .4400 Treatment pP .2573 .4441 Class 1 Class 2 Class 3 .2187 .5287 .1814 .5559 .1423 .3724 .4433 .6130 .2225 -.4692 .5048 -.4826 .3939 .6176 Class 10 Class 11 Class 12 .4212 .7404 Overall pA-aP Treatment pA .4651 .7969 Treatment aP .4255 -.0531 Treatment aA Class 4 Class 5 Class 6 Overall pA-aP C2 • 1879 .4924 Treatment pP .2566 .5235 Class 7 Class 8 Class 9 .2273 .6457 .3464 Overall pP-aA .4809 .1452 .4302 .2329 .5701 .0676 .0201 .1829 .0063 .4846 .6509 .3945 .6331 Treatment pA .3008 .5485 Treatment aP .4486 .6947 Treatment aA 91 Table 6 Correlations of Pretest Scores with Extension Scores for SI, CI, S2, and C2 SI CI S2 C2 .3626 .5352 e r a l l pP-aA .4927 .5154 Treatment pP .5046 •5331 Treatment pB .4122 •5736 Class 1 Class 2 Class 3 .4089 .3352 .3770 .5090 .6914 .5461 Class 7 Class 8 Class 9 .3905 .4735 .3140 .5448 .5153 .6204 Treatment aA .5096 .7387 .6674 .0261 .5601 .6569 .1651 .5330 Class 10 .5323 Class 11 -.0026 Class 12 .5723 .5914 .6673 .7457 .6979 .6140 .5323 .5914 Treatment pA .7173 .6134 Treatment pA .3733 .5947 Treatment aP .6933 .7166 Treatment aP .6747 .5890 Treatment aA Class 4 Class 5 Class 6 Overall pA-aP Overall pP-aA Overall pA-aP .3821 .5616 The correlations of pretest scores with extension scores are generally quite high both for treatments and for individual groups. However, many of the group correlations were below the .4 generally considered minimal for use of an analysis of covariance design, rather than,an analysis of variance design (Myers [293:324). The correlations which are low can be found mostly where expected, among the correlations for those classes with particularly small within-group variance on one or both of the pretest and extension test, as, for example class 5 for the SI tests. Low correlations do not occur for a l l such groups, however. In the case of class 5, for example, i t can be argued that because the 92 variance of grades within the class was so small, i t i s quite possible for those students who performed above the mean on the pretest to perform below the mean on the criterion test, and vice versa, since only a few marks, easily within the error of measurement, might affect a person's position above or below the mean. Thus, the correlation between the two tests might just as easily be zero as positive or negative. These few exceptions did not, however, i n the opinion of the writer, necessitate abandonment of the covariance procedure. Although many of the pretest-computation correlations were not greater than .4, particularly for the simple algorithms, because i t was suspected that scores on the two dependent measures, the computation test and the extension test, might be sufficiently correlated to warrant multivariate statistical procedures, the multiple analysis was undertaken using the covariate, pretest score, on both dependent measures. The actual correlations obtained between computation and extension scores are displayed in Table ?. Regression coefficients were also computed for groups and for treatments for predicting computation and extension scores from pretest scores. This was done to determine whether the homogeneity of regression assumption for use of an analysis of covariance design had been violated. These coefficients are vdispiyed in Tables 8 and 9. Table ? Correlations of Computation and Extension Scores for SI, CI, S 2 , and C2 SI 91 S2 C2 .2532 .5615 •3851 .3802 .3233 .3046 Treatment pP .1897 .6754 .2301 .7711 .2981 .3388 .2844 .2339 Class 7 Class 8 Class 9 .0813 .4221 .2147 .1503 .7013 .6049 .5096 .6865 .5378 .7349 .4143 —5160 .5176 •5731 .3193 .5591 .4388 .1483 .4555 .3329 .5099 .7488 .4971 .5373 .5229 .6451 Treatment pA .6122 .6634 Treatment pA .6142 .5761 Treatment aP .4987 .2631 Treatment aP .4689 .7016 Overall pP-aA Treatment pP Class 1 Class 2 Class 3 Treatment aA Class 4 Class 5 Class 6 Overall pA-aP Overall pP-aA Treatment aA Class 10 Class 11 Class 12 Overall pA-aP 94 Table 8 Regression Coefficients for Pretest Scores on Computation Scores for SI, CI, S2, and C2 SI CI e r a l l pP-aA .3309 .4028 Treatment pP .3022 •3964 Class 1 Class 2 Class 3 .2608 ;4574 .2560 .4836 .1250 .4004 .5218 S2 C2 .2491 .3008 .2307 .3423 Class 7 Class 8 Class 9 .2693 .4399 .1015 .3515 .2626 .2621 •5390 Treatment aA .4362 .4564 .2461 -.1406 .5690 .4093 -.3468 .5488 Class 10 Class 11 Class 12 .1061 .0605 .295^ .0040 .2744 .3847 .3955 .5662 .7249 .4620 Treatment pA .5280 .6540 Treatment pA .5243 .3657 Treatment aP .1483 -.0047 Treatment aP .8498 .5396 Treatment aA Class 4 Class 5 Class 6 Overall pA-aP Overall pP-aA Treatment pP Overall pA-aP 95 Table 9 Regression C o e f f i c i e n t s f o r Pretest Scores on Extension Scores f o r SI, CI, S 2 , and C 2 SI CI S2 C2 .3426 .3214 Treatment pP . 3 8 8 4 .3713 .2886 .1881 Treatment pP .2650 .1453 Class 1 Class 2 Class 3 .1526 .1268 .328? .0999 .3W .3831 .4249 .0468 C l a s s 10 .4544 .4263 .2202 .2177 .2502 .4388 .2390 Overall pA-aP .6160 .*573 Treatment pA .3923 .2053 Treatment pA . 5 0 5 8 .4741 Treatment aP .5256 .4578 Treatment aP .6847 .4438 Overall pP-aA Treatment aA Class 4 Class 5 Class 6 Overall pA-aP Overall pP-aA .2847 .1064 .4009 .3130 .4232 .3530 Treatment aA .5^63 .6118 Class 7 Class 8 Class 9 .1446 .1898 Class 1 1 •. . 0 0 3 5 Class 12 .4812 .1706 .3^9 .4946 The regression c o e f f i c i e n t s f o r the prediction of extension scores from pretest scores, as w e l l as those f o r the prediction of computation scores from pretest scores, showed considerable lack of homogeneity. In p a r t i c u l a r , c l a s s 5 and c l a s s 10 showed marked difference from the o v e r a l l regression slope i n t h e i r within-group slopes, as was the case with the c o r r e l a t i o n c o e f f i c i e n t s . Because covariance assumptions cannot be v i o l a t e d with impunity, caution must be taken i n i n t e r p r e t i n g r e s u l t s of t h i s study,* p a r t i c u l a r l y f o r those few groups whose, regression slopes d i f f e r e d s u b s t a n t i a l l y from the o v e r a l l slopes. However, a s u f f i c i e n t number of within-group regression c o e f f i c i e n t s seemed to 96 be s i m i l a r enough to make use of a covariance design a reasonable procedure . For a l l algorithms, the pP-aA comparisons were made independently of the pA-aP comparisons because the former were based on a nested design, with groups nested i n treatment, while the l a t t e r were simple one-way analyses of covariance. Although multivariate procedures were used, univariate analyses f o r the two dependent measures were also examined i n order to discuss the two sets of r e s u l t s independently. The four n u l l hypotheses f o r the research hypotheses stated i n Chapter 1 can each be stated i n vector form: H : o °<21 To t e s t the pP-aA comparisons f o r s i g n i f i c a n c e , the o v e r a l l Fpratio due to Rao (Tatsuoka p*4]:200) was computed. This F - r a t i o can be expressed as follows: 1 - -Ai . s(2f l/ Q - 2c - p • f L - 1) - pf L -A. where: degrees of freedom are 2 e P h f p f f o r the numerator and f(s (2f - 2 c - p + f Q n - l ) - p f ^ + 2) f o r the denominator and: p = number of dependent variables c = number of covariates f^= univariate degrees of freedom f o r the e f f e c t under t e s t f = univariate degrees of freedom f o r the "error" 8 s = \ P^f1 ; 2 i 4 A) P+ f h or 2 i f indeterminate 5 + 2 s 97 Because classes, not pupils, were randomly assigned to t r e a t ments, the nested design was used. use i s dependent on the model. The question of what error term to S t r i c t l y , the error f o r t e s t i n g the H 's i n t h i s nested design should be discussion i n Chapter 3. ^ , „ . Recalling the e a r l i e r however, i t can be noted that i f j(i) c a n n be conceived to be zero i n the population, i t can l e g i t i m a t e l y be deleted from the model, and then one has an a l t e r n a t i v e a n a l y s i s . Although i t was expected that there might be differences among group means, i t was decided that i f t h i s F - r a t i o indicated non-significant groups-withintreatments differences a t the .25 l e v e l , the n u l l hypothesis f o r comparison of the treatment means would be tested using the within c e l l s variance, rather than the groups-within-treatments variance. For each of the four algorithms, the o v e r a l l F-ratios f o r the groupswithin-treatments t e s t , along with the c r i t i c a l F-values f o r a .25 ficance l e v e l are l i s t e d i n Table 10. A .25 signi- l e v e l of significance was chosen i n order to reduce the p r o b a b i l i t y of accepting the n u l l hypothesis of equality ofamean vectors i f , i n f a c t , i t ought to be rejected. Table 10 Overall F-Ratios f o r the Multivariate Tests of Equality of Adjusted Mean Vectors f o r Groups-within-Treatments Obtained F Degrees of Freedom Algorithm SI 7.21655* 8 ; 276 1.29 Algorithm S2 11.29591* 8 ; 326 1.28 Algorithm CI 12.73003* 8 ; 260 1.29 Algorithm C2 20.21288* 8 ; 328 1.28 • S i g n i f i c a n t a t the .25 l e v e l Critical F at .25 Level 98 Because the F-ratios f o r the groups-within-treatment were a l l s i g n i f i c a n t a t the .25 l e v e l , and the term ^ j ^ ^ tests could not be deleted from the model, the tests of the treatment hypotheses were performed using the groups-within-treatments term. factor as an error The o v e r a l l F-ratios f o r the multivariate tests of equality of mean vectors f o r the pP-aA comparisons are l i s t e d i n Table 11 below. I t can be observed that none of the o v e r a l l F-ratios proved significant a t the .05 l e v e l . The univariate analyses of covariance f o r each of the computat i o n and extension t e s t s , along with group and treatment means adjusted f o r the covariate, f o r algorithms SI, CI, S2, and C2 can be found i n Tables 12, 13, 14, and 15, r e s p e c t i v e l y . Table 11 Overall F-ratios f o r the Multivariate Tests of Equality of Adjusted Mean Vectors f o r Treatments pP-aA Obtained F Degrees of Freedom Critical F a t .05 Level Algorithm SI 1.78395 2 ; 4 6.59 Algorithm S2 1.77292 2 ; 4 6.59 Algorithm CI 1.63609 2 ; 4 6.59 Algorithm C2 1.49990 2 ;4 6.59 99 Table 12 Univariate Analyses of Covariance f o r the Computation and Extension Tests f o r the pP-aA Comparison on SI Computation ANOCOVA Source of Variation Mean Square Sum of Squares Degrees of Freedom Prob. J u s t i f i c a t i o n (Treatment) 1 351.0721 351.0721 1.6514 .2682 Groups-wi thin-Treatment 4 850.3697 212.5924 5-0753* .0008 5822.364- 139 Error 41.8876 Adjus_ted_Means_ Treatment pP 15.866 Treatment aA 12.351 Class 1 Class 2 Class 3 17.659 12.097 16.250 Class 4 Class 5 Class 6 11.391 19.920 11.190 Extension ANOCOVA Prob. Mean Square Degrees of Freedom •BvSvcmlot Squares J u s t i f i c a t i o n (Treatment) 1 61.2116 61.2116 .7505 .4382 Groups-within-Treatment 4 326.2639 81.5660 9.9818* .0000 Source of Variation 139 Error 1135.831 8.1714 Adju£ted_Means _ Treatment pP 4.771 Treatment aA 6.239 Class 1 Class 2 Class 3 3.725 4.131 6.144 Class 4 Class 5 Class 6 4.177 9.080 7.446 • S i g n i f i c a n t a t the .05 l e v e l 100 Table -1% Univariate Analyses of Covariance for the Computation and Extension Tests for the pP-aA Comparison on CI Computation AN0C0VA Source of Variation Degrees of Freedom Sum of Squares Mean Square F Prob. JustificationTreatment) 1 3*3430 3.3430 .0690 .7913 Groups-within-Treatment 4 19326710 48.4178 2.6324* .0367 131 Error 2409.496 18.393 Adj_us_ted_Means_ Treatment pP 8.061 Treatment aA 8.405 Class 1 Class 2 Class 3 7.977 7.614 8.319 Class 4 Class 5 Class 6 7.914 13.06? 7.493 Extension AN0C0VA Source of Variation Degrees of Freedom Sum of Squares Mean Square F Prob. Justification (Treatment) 1 93.7698 94.7698 1.1581 .3439 Groups-within-Treatment 4 323.8798 80.9699 30.3962* .0000 131 348.9602 2.664 Error Adjusted Jfeans_ Treatment pP 1.606 Treatment aA 3.428 Class 1 Class 2 Class 3 2.029 Class 4 Class 5 Class 6 9.288 1.400 1.393 * Significant at the .05 level 2.101 2.863 101 Table 14 Univariate Analyses of Covariance for the Computation and Extension Tests for the pP-aA Comparison on S2 Computation ANOCOVA Source of Variation Degrees of Freedom Sum of Squares Mean Square 1034.745 Justification (Treatment) 1 1034.745 Groups-within-Treatment 4 1734.827 164 5089.227 Error Prob. 2.3858 433.7068 13.9762* .1965 .0000 31.0319 AdjU£ted_Means_ Treatment pP 23.831 Class 7i Class & Class % 23.945 23.280 24.292 Treatment aA Class 10 Class 11 Class 12 18.765 23.353 12.682 21.841 Extension ANOCOVA Source of Variation Degrees of Freedom Justification (Treatment) 1 Groups-within-Treatment Error 4 164 Sum of Squares Mean Square Prob. 46.4612 46.4612 ^2563 .6404 725.0459 181.2615 12.7670* .0000 2328.421 14.197 Adjusted_Means_ Treatment pP Class % Class 8; Class 93 9.709 7.175 11.618 10.552 * Significant at the .05 level Treatment aA Class 10 Class 11 Class 12 10.783 13.991 7-986 11.613 102 Table 15 Univariate Analyses of Covariance for the Computation and Extension Tests for the pP-aA Comparison on C2 Computation AM0C0VA Source of Variation Degrees of Freedom Sum of Squares Mean Square Justification (Treatment) 1 Groups-within-Treatment 4 1205.185 301.296 165 1710.319 10.366 Error 5.8535 5.8535 Prob. .0194 29.O67O* .8646 .0000 Adju£tedJMeans_ Treatment pP 8.699 Treatment aA 8.321 Class % Class 8 Class 9, 6.262 9.008 10.838 Class iOC Class 11X Class 122 10.784 3.895 11.067 Extension AN0C0VA Source of Variation Degrees of Freedom Sum of Squares Mean Square Prob. Justification (Treatment) 1 225.7897 225.7897 1.007 .3758 Groups-within-Treatment 4 902.5420 225.6355 23.9341* .0000 I65 Error Adjusted_Means_ Treatment pP 6.441 Class ? Class 8, Class 9, 3.512 7.940 7.921 * Significant at the .05 level Treatment aA Class 10 Class 11 Class 12 8.792 13.991 5.886 8.910 103 It should be noted that although no differences among pP-aA computation or extension performances for treatment effects are significant at the .05 level, the adjusted means for the aA treatments are greater than those for the pP treatments on a l l four extension tests. It might also be noted that the adjusted means for the pP treatments are higher than those for the aA treatments on the two simple algorithms computation tests, but that there i s almost^no\.absolute difference. between the treatment adjusted means on the complex algorithm computation tests. In no case, however, are a l l of the groups-within-treatments means for a given treatment greater than those for the other treatment groups, with the exception of the extension test for CI, where a l l algebraic groups outperformed a l l pattern groups. Furthermore, even 1/* using a P test for combined probabilities from the four separate tests in the case of the extension tests and the two simple algorithm computation tests, there i s no assurance that the overall H should not be rejected Q at the .05 level. The multivariate analysis of covariance model for a l l pA-aP comparisons was the same as that used before except that the ^ ^ ) n term was deleted because only one group was assigned to each treatment. The four null hypotheses to correspond to the research hypotheses i n Chapter 1 are of the identical form as for the pP-aA comparisons. The overall F-ratios for the multivariate tests of equality of mean vectors for the pA-aP comparisons are listed i n Table 16. I t can be observed that the F-ratios for the SI and CI tests are significant, while those for the S2 and C2 tests are not. 104 Table 16 Overall F-Ratios for the Multivariate Tests of Equality of Adjusted Mean Vectors for Treatments pA-aP Obtained F Degrees of Freedom Algorithm SI 8.4718* 2 ; 35 Algorithm S2 .7442 2 ; 44 Algorithm CI 11.2000* 2 ; 38 Algorithm C2 .3844 2 ; 33 Critical F at .05 Level 3.28 .051 3.25 .051 The univariate analyses of covariance for each of the computation and extension tests, along with treatment means adjusted for the covariate, for algorithms SI, CI, S2, and C2 can be found i n Tables 17,18,19, and 20, respectively. It can be noted ihathese tables that where significant difference's are'found for the mixed justification comparisons for the four algorithms, aP subjects outperformed pA subjects i n terms of adjusted treatment means. 105 Table 17J Univariate Analyses df Covariance for the Computation and Extension Tests for the pA-aP Comparison on SI Computation AMCC OVA Source of Variation Degrees of Freedom Justification Error Sum of Squares Mean Square 1 434.3534 434.3534 36 930.2442 25.8400 Prob. 16.8092* .0003 AdjustedJYfeans_ Treatment pA 12.487 Treatment aP 20.821 Extension AN0C0VA Source of Variation Degrees of Freedom Justification Error Sum of Squares Prob Mean Square 1 29.7544 29.7544 36 260.1265 7.2257 4.1178* Adjus_t ed_Me ans _ Treatment pA 5.289 •Significant at the .05 level Treatment aP 7.470 .0474 106 Table IQ Univariate Analyses of Covariance f o r the Computation and Extension Tests f o r the pA-aP Qomparison on CI Computation ANOCOVA Source of Variation Degrees of Freedom Sum of Squares 1 Justification Error 229;*89 422.1512 39 Mean Square 229.8931 Prob. 21.2384* .0001 10.8244 Adj_us_ted_Means_ 8.516 Treatment pA Treatment aP 14.544 Extension ANOCOVA Source of Variation Degrees of Freedom Justification Error Sum of Squares Mean Square 1 1.3414 1.3414 39 150.8459 3.8678 Prob. .3468 AdjustedJYIeans_ Treatment pA 3.155 * S i g n i f i c a n t a t the .05 l e v e l Treatment aP 2.695 .5663 107 Table $$ Univariate Analyses of Covariance for the Computation and Extension Tests for the pA^aP Comparison on S2 Computation ANOCOVA Source of Variation Sum of Squares Degrees of Freedom 1 Justification Error Mean Square 3-1930 3.1930 .0539 .8027 59.268 2667.083 45 Prob. Adi_us_ted_Means_ i Treatment pA 19.487 Treatment aP 18.957 Extension ANOCOVA Source of Variation Degrees of Freedom Justification Error Sum of Squares Mean Square 1 20.5858 20.5858 45 897.3669 19.9408 Prob. 1.0323 Adjusted_Means_ Treatment pA 8.166 * Significant at the .05 level Treatment aP 9*512 .3163 108 Table 2 0 Univariate Analyses of Covariance for the Computation and Extension Tests for the pA-aP Comparisons on C2 Computation ANOCOVA Source of Variation Degrees of Freedom Justification Error Sum of Squares Mean Square 1 3.7190 3.7190 34 553.2126 16.2710 Prob. .2286 .6404 Adj_usted_Means__ Treatment pA 8.639 Treatment aP 7-987 Extension ANOCOVA Degrees of Freedom Source of Variation Justification Error Sum of Squares Mean Square 1 4.3621 4.3621 34 674.2760 19.8316 Prob. .2200 Adj_us_ted_Means_ Treatment pA 6.195 Treatment aP 6.899 .6465 109 DISCUSSION OF RESULTS The data presented i n the present research indicated no s i g n i f i cant differences i n performance among groups taught by a purely algebraic approach and those taught by a purely pattern approach on computation using several distinct algorithms which are different both with respect to the operation accomplished by the algorithm and with respect to complexity of the algorithm. Nor did significant differences occur i n performance on extensions of the learned algorithms. However, consistently, students taught by an : algebraic approach performed better, i f not significantly better, on extension tests, than students taught by the pattern approach. There also appeared to be a trend for students taught by a pattern approach to outperform their algebraic counterparts on the simple algorithm computation tests; again, however, the performance was not significantly better. The data further indicated that students taught by an algebraic followed by pattern approach did significantly better than students taught by a pattern followed by algebraic approach on one of the simple algorithm computation tests, one of the simple algorithm extension tests, and one of the complex algorithm computation tests.i ficant differences were found. No other signi- However, the significant differences that did result must be considered i n light of the confounding of teacher with treatment i n this segment of the study. Statistical hypothesis H^^ , which predicted no significant c : ; r ^ differences i n computation and extension performance for S3, for groups taught by different justification procedures, was not rejected for the pP-aA comparison with a .05 level of significance. However, an examinaticn of 110 adjusted means reveals that the pP treatment mean was greater than the aA treatment mean on the computation test, while the aA treatment mean was greater than the pP treatment mean on the extension test. Statistical hypothesis HQ^ was rejected at the .05 level of significance for the pA-aP comparison. Nevertheless, i n that a teacher-class factor was operating along with the treatment condition, i t may well be that the significant difference cannot be attributed to the treatment. Statistical hypothesis which predicted no significant differences in computation and extension performance on SZ tests for groups taught by different justification procedures, was not rejected for either the pP-aA comparison or the pA-aP comparison with a .05 level of s i g n i f i cance. Again, an examination of adjusted means reveals that the pP treatment mean was greater than the aA treatment mean on the computation test, while the reverse was true on the extension test. Statistical hypothesis HQ-J, which predicted no significant differencessih^computation and extension performance on CI tests for groups taught by different justification procedures, was not rejected for the pP-aA comparison with a .05 level of significance, although i t was rejected for the pA-aP comparison. An examination of adjusted means again indicates that the aA treatment mean was greater than the pP treatment mean on the extension test; the difference on the computation test between the pP-aA treatment means was extremely small. In terms of the pA-aP comparisons, the aP group performed significantly better than the pA group on the CI computation test, although not on the extension test. Because the same teacher-class factor was operating along with the treatment condition here as was operating i n the SI situation, i t i s possible that the significant differences i n both cases are due to the extraneous teacher-class factor. Ill S t a t i s t i c a l hypothesis HQ^, which predicted no s i g n i f i c a n t differences i n computation and extension performance on C2 tests f o r groups taught by d i f f e r e n t j u s t i f i c a t i o n procedures, was not rejected f o r either the pP-aA comparison or the pA-aP comparison with a .05 l e v e l of significance. An examination of the adjusted means f o r t h i s algorithm also shows that the aA treatment mean was greater than the pP treatment mean on the extension test, while the difference f o r the two groups on the computation t e s t was extremely small. No f i r m conclusions can be drawn about the r e l a t i v e e f f e c t s of pA and aP j u s t i f i c a t i o n procedures because of the operation of extraneous factors i n the design. With one exception, i n the case of CI, there was, however, a tendency f o r the aP groups to do better than the pA groups on the extension test, but no clear-cut trend was observable, on the computation t e s t s . In t a l k i n g to the teachers using the mixed j u s t i f i c a t i o n procedures,t-ithe writer discovered that a l l of the classes involved expressed a preference f o r learning by the algebraic approach, although none of the teachers had used exclusively one mode of j u s t i f i c a t i o n prior to the experimental period. Furthermore, i t became evident that the classes f i r s t exposed to the algebraic approach were more r e t i c e n t to switch to the pattern approach than the classes started on the pattern approach were to switch to an algebraic approach. Because i t was impossible to i n t e r p r e t the s i g n i f i c a n t r e s u l t s from the pA-aP comparisons, i t i s c l e a r that an investigation exactly along the l i n e s of t h i s study, but involving more groups-within-treatments, would be needed to make any reasonably c e r t a i n statements about which j u s t i f i c a t i o n procedure i s optimal. Again, no f i r m conclusions can be drawn about the r e l a t i v e e f f e c t 112 of pP and aA j u s t i f i c a t i o n procedures because of the lack of power i n the s t a t i s t i c a l t e s t i n g of the four n u l l hypotheses. But several things should be noted. F i r s t , i t might be r e c a l l e d that the writer had originally proposed a model f o r research i n t o algorithm learning i n elementary school mathematics which consisted of four components: the mathematical operation accomplished by the algorithm, the complexity of the algorithm, the number form to which the algorithm applied, and the j u s t i f i c a t i o n used i n teaching the algorithm. I t was the purpose of this study to determine whether the mathematical operation accomplished by an algorithm has some bearing on a preferred j u s t i f i c a t i o n sequence. I f i t was found that the same j u s t i f i c a t i o n sequence seemed to be preferred f o r algorithms f o r many d i f f e r e n t mathematical operations, the proposed s i m p l i f i c a t i o n of the model to eliminate the component of operation accomplished by an algorithm would seem to be a reasonable a l t e r a t i o n . In that no signifi- cant differences were found f o r SI, CI, S 2 , and C2 among the pF=aA comparisons and that, therefore, the four s t a t i s t i c a l decisions wereI d e n t i c a l , the s i m p l i f i c a t i o n of the model f o r research i n t o algorithm learning i n elementary mathematics was not i n v a l i d a t e d . Furthermore, because the trends on a l l four extension tests were i n the same d i r e c t i o n , namely that the a l g e b r a i c a l l y taught treatment mean was greater than the pattern taught treatment mean, there seems to be an even stronger case f o r continuing research with the proposed model or some a l t e r a t i o n of i t . The r e s u l t s on the computation t e s t also support retention of the model; pP-taught students tended to perform better on the simple algorithms, while no trend was evident f o r the complex algorithms, thus d i s t i n g u i s h i n g appropriate j u s t i f i c a t i o n type f o r simple algorithm and complex algorithm computation i n s t r u c t i o n . 113 Unfortunately, between-groups-within-treatments v a r i a b l i l i t y was so large f o r each of the four algorithms among the pP-aA comparisons that s t a t i s t i c a l significance could not be attained with the small number of groups a v a i l a b l e . With one exception, that of the CI extension test, there was no case i n which a l l groups i n one treatment outperformed a l l groups i n the other treatment, strongly suggesting that a treatment-by- teacher i n t e r a c t i o n might be further investigated. In f a c t , even when covariance adjustments were made f o r i n i t i a l performances, classes d i f f e r s ! markedly i n t h e i r post-treatment performance on a l l measures used. This seems s t i l l to be the case, even when allowance i s made f o r the f a c t that several of the adjusted means might have been s l i g h t l y misleading due to the lack of homogeneity of regression slopes within treatment groups. Since classes and teachersg are confounded, this may w e l l mean that the success of a j u s t i f i c a t i o n treatment may depend more on the teacher than the student. In p a r t i c u l a r , i t may be that the approach teachers learn i n t h e i r mathematics methods t r a i n i n g courses, or the basic approach of the students' texts, or the teacher's personal attitudes toward teaching mathematics has an e f f e c t on the treatment with which t h e i r students learn best. Thus, the next research task may be to i d e n t i f y which combination of j u s t i f i c a t i o n s are best f o r which teachers;, that i s , the next task may be to add to the model upon which t h i s research i s based— addition of a component involving teacher preference. I f the trends indicated i n t h i s study were to p e r s i s t f o r a larger number of groups, they would indicate that a l g e b r a i c a l l y taught students generally perform better than pattern taught students, as a group, on extension t e s t s . Although the r e s u l t s from the data analysis were not s i g n i f i c a n t , two other considerations make t h i s p o s s i b i l i t y a l l the more 114 likely. F i r s t , there was some adjusting of the class means because of the covariates which may not have been as appropriate f o r a l l c l a s s e s . Thus, the algebraic means, a f t e r adjustment, might have been ev4n greater than the analysis indicated, making s i g n i f i c a n t differences more plausible. Second, the homogeneity of variance assumption was v i o l a t e d , but i t was the smaller groups which showed the unusually low variance; therefore, the a c t u a l significance l e v e l of the t e s t might have been smaller than the nominal .05 l e v e l . This r e s u l t , that algebraic j u s t i f i c a t i o n of algorithms leads t o greater a b i l i t y to extend them, i s i n accord with Scandura's (34:361) r e s u l t s showing that symbolically taught generalize better than v e r b a l l y taught ones. students The trends also indicate that pattern-taught students perform better ton simple algorithm comput a t i o n , where the thread of steps i s probably shorttenough to allow a consistent pattern to a i d the student; on the complex algorithm computation t e s t s , no consistent trend developed, seeming to indicate that the consistent pattern was of no more use inathe long thread of steps necessary to reach the conclusion than was the generality of the algebraic principles. However, investigation into treatment-by-teacher interactions, student ability-by-treatment interactions, or other cognitive variable-bytreatment interactions may suggest that s i g n i f i c a n t interactions, as w e l l as s i g n i f i c a n t main e f f e c t s , e x i s t . In such a case, the r e s u l t s of this study would not apply to any randomly selected c l a s s , but may only suggest an optimal treatment plan over the long run. In the case of a p a r t i c u l a r c l a s s , these i n t e r a c t i o n s could become important. A d d i t i o n a l l y , i t would be valuable to repeat t h i s study i n a s i t u a t i o n allowing f o r simultaneous j u s t i f i c a t i o n procedures comparisons of pP, aA, pA, and aP using a groups-within-treatments design. 115 Chapter 5 SUMMARY AND CONCLUSIONS THE PROBLEM It was the purpose of this study to determine by experimental procedures whether there are any significant differences either in computational s k i l l with an algorithm or in ability to extend that algorithm among pupils taught an algorithm by different justification procedures. The a b i l i t y to extend an algorithm was defined, for the purposes of this study, to involve five s k i l l s ; the a b i l i t i e s to: 1) shortcut the algorithm i n particular cases, 2) solve equations with missing operands requiring use of the algorithm, 3) use the algorithm with number forms other than the type studied, 4) extend the algorithm to more than two operands, and 5) explain an alternate vepsionaof the algorithm. The four types of justification procedures were : pattern, algebraic, pattern followed by algebraic, and algebraic followed by pattern. A pattern justification i s one based on an analog using two- dimensional physical actions, whereas an algebraic justification i s one based on the algebraic principles for rational numbers, as well as the rules of logic. Differences in performance on the criterion variables were examined for four algorithms differing i n both mathematical operation accomplished by the algorithm and in complexity of the algorithm,. Complexity was determined by the number of steps and processes required for the algorithm. s execution. 1 116 THE FINDINGS The results of the data analysis indicate no significant differences i n the case of a l l four algorithms tested i n the comparisons between students taught by a s t r i c t l y pattern approach and students taught by a s t r i c t l y algebraic approach on computation or extension ability. This lack of significance i s probably due in large measure to the existence of a large between-groups-within-treatraents effect for each analysis.always a problem in f i e l d research i n which each class has i t s own teacher, and particularly a problem where classes are intact and not composed of randomly selected pupils. The result i s an F-test with class variance rather than pupil variance as an error term, resulting in a s t a t i s t i c a l test with few degrees of freedom i n the denominator, and hence relatively low power. However, there i s evidence to indicate that students taught by an algebraic approach, as a group, tendttoddobbetter on extension tests than their pattern taught counterparts and that students taught by a pattern method, as a group, tend to do better on simple algorithm computation tests than their algebraically taught counterparts. No trend i s evident i n terms of performance of groups, on the complex algorithm computation tests. This evidence i s based on the consistency of the relative sizes of the pattern and algebraic adjusted treatment means for a l l four algorithms. Furthermore, the existence of a significant between-groups-within-treatments effe6t indicates the strong possibility of a teacher-by-treatment interaction which might be further investigated. This i s borne out by inspection of the class means within treatments; these means consistently differ quite widely. 11? Although significant differences were found for the algorithm SI computation test £te .algor&fc&tfc <C1 computation test, and the algorithm SI extension test in favor of the algebraic followed by pattern group over the pattern followed'iby algebraic group, these results must be considered i n light of the possibility that a Type G error i s being made— that a group difference confounded with a treatment difference i s what i s being measured. No other significant differences were found for the mixed justification comparisons. There did appear, however, to be a trend, although a nonsignificant one, indicating that, i n general, the algebraic followed by pattern students perform better than the pattern followed by algebraic taught students on the extension tests. This result, along with the trends previously indicated, and having regard to the limitations of the study, may indicate that an algebraic introduction to an algorithm leads to better generalizing ability with i t on the part of the students; however, lack of significance i n the results makes this suggestion highly tentative. Because algebraic versus algebraic followed by pattern comparisons were not possible i n this study, there i s no way to determine from the experimentalIdata the effectiveness of pattern reinforcement of the algebraic introduction. Finally, the data indicate the plausibility of a model for research into algorithm learning in elementary mathematics which incorporates these two dimensions: type of justification provided for the algorithm and complexity of the algorithm, as useful determinants of student performance on computation and extension tests based on that algorithm. student performance for a given justification type was That i s , consistent for the two simple algorithms examined in the study, as well as for the two complex algorithms examined. Thus, there seems reason to believe that, 118 for a given complexity of algorithm, there may be main effects i n the study of children's algorithm performance due to justification approach provided for any algorithm, and, further, that this may be true for any algorithm, regradless of the mathematical operation accomplished by the algorithm or the number form to which i t applies. This is not to say that interactions of justification type with other variables do not exist. IMPLICATIONS As a consequence of the findings of this study, several inferences can be drawn. It i s clear that, in the intermediate grades, the algebraic justification of at least some algorithms i s feasible both for teachers and students. Further , in that a l l teachers using the algebraic approach expressed to the writer a favorable attitude toward i t and since the teachers using the mixed justification approach preferred the algebraic section of the work, there is some reason to consider teaching of the use of algebraic justification in preparing prospective arithmetic teachers and in preparing instructional materials for students. Evidence is presented to support the likelihood that an algebraic approach, or at least an algebraic followed by pattern approach, rather than a pattern only approach, leads to greater development of students' generalizing s k i l l with mathematical algorithms. I t was suggested earlier that this result might have been expected i n light of Scandura's (37) results that more general rules, i f learned, can be used to apply to a more extensive set of questions than more specific rules; algebraic principles might be considered a more general method of justification than a set of patterns based on many physical analogies. This i s not to say, 119 however, that algebraic justification i s inherently superior to pattern justification; rather, one might merely suspect that i t could be. It is equally feasible that other teacher or class factors, such as teacher preference for a particular justification type, had a bearing on this result. However, the existence or possible existence of a main effect based on type of justification provided, for whatever reason, cannot be overlooked. Therefore, because the s k i l l of extending algorithms i s a valuable one both in developing sophisticated ideas about the algorithm and in giving i t a sense of coherence, as well as in preparing students for future work in mathematics, an algebraic justification may be most useful even for those teachers whose primary objective i s the development of computational competence. This result potentially affects a l l mathematical algorithm learning in the elementary school, including the learning of the four basic algorithms for addition, subtraction, multiplication, and division. Evidence is also presented to support the likelihood that a s t r i c t l y pattern approach i n the teaching of simple algorithms, rather than a s t r i c t l y algebraic approach, leads to greater immediate development of computational s k i l l . From the experimental data, no conclusions can be drawn about the relative merits of algebraic and pattern justifications in the performance of complex algorithm computation. Thus, i t would seem that, until research i s conducted to refute i t , one might consider the use of an algebraic followed by pattern justification approach as a preferred one for simple algorithm instruction, and a s t r i c t l y algebraic approach as a preferred one for complex algorithm instruction i f the principal aim i s to maximize performance in ability to compute with the 120 algorithm and a b i l i t y to extend i t . Again, the same caution must be taken i n explaining the reason for this result as must be taken i n explaining the extension result. The existence of significant between-groups^within-treatments effects for a l l four algorithms examined suggests,^ the existence of teacher-by-treatment interactions. The most likely contributors to this interaction are the teacher's previous preference in justification approach and his mathematical knowledge. In particular, examination of each of five variables and their interactions with treatment may lead to research conclusions with immediate classroom instruction applicability. These variables are: the teacher's stated preference for algebraic or pattern justification, the basic approach the teacher had learned in his teacher training mathematics methodology course, the basic approach taken by the students' text from which the teacher currently teaches, the number of mathematics courses previously taken by the teacher, and the teacher's attitude toward teaching arithmetic. Similarly, the possible existence of interactions between treatment and other variables, such as student's general ability, or student's particular mathematical ability, or student's f i e l d dependence or f i e l d independence, could be investigated. Some of the more important implications of this study can also be asserted from considering the model behind i t . The results of the study seem to indicate that differences i n ability of students to extend algorithms may be accounted for as complete^ by the type of justification provided in instruction, as by this factor i n conjunction with information about the degree of complexity of the algorithm and the operation accomplished by i t . If this can be further verified with replicate studies, i t seems 121 that the proposed model for this study might be reduced to even fewer components. The model originally incorporated four components— the type of mathematical operation accomplished by the algorithm, the complexity of the algorithm, the number form to which the algorithm applies, and the type of justification provided i n instruction for the algorithm. Because, however, a difference was found between simple and complex algorithm instruction i n terms of resulting computational a b i l i t y for students learning by the same justification approach, i t seems unlikely that the simplicity/complexity component can be eliminated from the model. Thus, i t i s perhaps the mathematical operation accomplished by an algorithm or the number form to which i t applies, i f not both, which may have the least effect on determining the most useful type of justification to be employed i n instruction. It may also be true that a model such as the one proposed, or a simplified version of i t , may apply to research into areas of mathematics other than algorithm instruction, as, for example, concept development. Certainly i t i s possible to define algebraic and pattern rationales that may aid i n concept development. For example, an algebraic concept rationale a might lead to the acquisition of the concept of £ 1 as ax £ , where the corresponding pattern rationale might lead to the acquisition of the concept of g as 'a* regions of a whole i n i t i a l l y sectioned into 'b' equivalent sections. It i s also possible to define simple and complex concepts. For example, a simple concept might be a definition, such as the concept of a factor as being a number which divides another whole number, while a complex concept might be one, such as that of addition, which requires the continual extension of an i n i t i a l idea about the concept to encompass more and more situations of greater and greater variety. For 122 the concept of addition, t h i s extension involves i n c l u s i o n a t f i r s t of only whole numbers, but l a t e r , r a t i o n a l numbers, and then a l l r e a l numbers, andathe. extension also involves the growing v a r i e t y of verbal problems requiring the use of addition f o r solution by the students. The work of Henderson (19), Rector (32), Shumway (41), and Smith (42) i n the area of concept development provide s t a r t i n g points i n t h i s area. I t might be p a r t i c u l a r l y noted that i f i t were found that many algebraic concepts can be acquired by elementary school students, i t could have implications f o r the mathematics of grades 7 and 3; a t present, much of the mathematics of these grades i s concerned with the "algebrization" of previously learned algorithms and previously developed concepts. The r e s u l t s of t h i s study also imply that computational a b i l i t y should probably be treated independently of extension a b i l i t y , and so a teacher must make judgments about the r e l a t i v e weights to put on these two objectives, p a r t i c u l a r l y with simple algorithms, before choosing a j u s t i f i c a t i o n approach. Probably some kind of taxonomy of a b i l i t i e s i s implied by the differences between t h i s study's outcomes f o r computational and extension c r i t e r i o n scores. That i s , computational a b i l i t y may be considered as a low-level cognitive a b i l i t y , whereas a b i l i t y to extend may be considered a r e l a t i v e l y high l e v e l cognitive a b i l i t y . Refinement of the taxonomy of a b i l i t i e s of which computational a b i l i t y and a b i l i t y to extend are members might shed even further l i g h t on the variables operating within the model f o r research i n t o algorithm learning. LIMITATIONS OF THIS STUDY The l i m i t a t i o n s of the study r e s u l t primarily from the f a c t that a vast problem i s being examined i n one i n d i v i d u a l study. Because a r i t h - 123 metic algorithms i n general, rather than only one particular algorithm, are under consideration, i t was necessary to sample from among a considerable set of possible algorithms. However, due to physical limitations, this sampling was minimal; only two algorithms i n each of the categories under consideration were studied. Thus, i t would be useful to apply this same design to other algorithms, varying both i n the mathematical operation accomplished by them and the number form to which they apply, to see i f similar results can be established. If so, there i s every reason to believe that the trends indicated i n this study for main effects are valid. I t would also be useful to apply the same design using younger subjects with algorithms appropriate to these subjects. I t i s often claimed that such young subjects are not ready for an abstract, algebraic approach. It might be noted that because of the need to remove as much as possible the effects of earlier algorithm learning so as to determine the actual treatment effects, i t was necessary i n this study to look at four somewhat unusual algorithms, rather than the standard addition, subtraction, multiplication, and division algorithms for whole numbers. However, the writer believes that the results apply to these standard algorithms as well, while recognizing that i t would take extended study of children i n mathematics classes throughout several grade levels to decide whether the hypothesis of generality i s reasonable. Because intact groups are the ones generally available to experimenters i n applied research i n education and because such groups were, in fact, used i n this study, i t become Important to replicate the design of the study with other classes. Certainly, for the comparisons between the pattern followed by algebraic and algebraic followed by pattern groups, where only one class was used i n each treatment condition and treatment 124 effects were confounded with group effects, i t i s necessary to replicate the conditions with other classes. But even with the purely pattern and purely algebraic comparisons, where an attempt was made to control for extraneous factors which might have one effect on one class but a different effect on others, i t would be useful to determine whether the trends indicated here are observed with other classes i n another setting. In any case, a study which allows simultaneous examination of a l l four j u s t i fication types would be desirable. Another constraint on interpretation of the results of the study i s the lack of precision inherent i n the definition of simplicity and complexity. Although i t i s relatively easy to categorize some algorithms as simple or complex, i t becomes quite d i f f i c u l t to order algorithms that seem to be somewhere i n the middle of the complexity continuum. For this reason, i t i s d i f f i c u l t to extend the results of the study to a l l algorithms i n the elementary mathematics program. Similarly, the preciseness of the definition of the ability to extend an algorithm also puts a constraint on interpretation of the results. The definition of extension, for the purposes of this study, encompassed five precisely specified a b i l i t i e s . Frequently, interest in higherilevel understandings that a student might have extends beyond these five abilities or includes only some of them. For this reason, caution must be observed in discussing the role of algebraic j u s t i f i c a tion i n students' ability to generalize an algorithm, unless the meaning of generalization i s as indicated i n this study. SUGGESTIONS FOR FUTURE RESEARCH The suggestions for further research f a l l into several main categories: extensionsof the study to examine aptitude-treatment 125 interactions, extension of the study over time, extension of the study over algorithms sampled, extension of the study over age levels, extension of the study over criterion variables^. examined, and extension or modifi0 cation of the underlying model, including allowance for teacher-bytreatment interaction studies. The purpose of this study was to examine main effects of j u s t i f i cation type provided for an algorithm as i t related to students' ensuing ability, to compute with and extend that algorithm. However, the inferences drawn here from the results of the data analysis of teacher by treatment interactions suggest the importance of an examination of treatment interactions with other variables. Some of these variables would stem from an sexamination of aspects of the teacher's knowledge of and attitude toward mathematics teaching. Specifically, the teacher's stated preference for a particular approach, his experience with a particular justification approach i n the past, and his attitude toward teaching and learning mathematics may interact with justification treatment i n determining student performance on computation and extension tests for that algorithm. In addition, certain student variables might interact with treatment in prescribing a preferred approach for algorithm instruction. It may be that students with particularly high mathematics ability, as determined by previous achievement i n arithmetic, may perform better with an algebraic approach, while students with less mathematical ability may perform better i f taught by a pattern approach. This estimate of mathematical a b i l i t y may, however, to a large extent, reflect the student's previous exposure to algebraic concepts. this previous a b i l i t y must be carefully considered. Thus, a measure of 126 Because of the importance of the physical analogy to the pattern justification approach, the possibility that the cognitive style variable of f i e l d dependence might interact with the type of justification in leading to the student's best performance i s also reasonable. The criterion i s the student's ability to differentiate an object from a surrounding f i e l d . It might be that f i e l d dependent students do not do as well with an algebraic approach as with a pattern approach, whereas the f i e l d independent student might do as well with either approach. Other cognitive or affective variables might also be examined for interactions with the treatment variables. To get at these interactions, examination of these variables for high proficiency pattern students and low proficiency algebraic students to see i f any common factor exists might be a starting point. Similar analyses for low proficiency pattern and high proficiency algebraic, low proficiency pattern followed by algebraic and high proficiency algebraic followed by pattern, and high proficiency pattern followed by algebraic and low proficiency algebraic followed by pattern students might be undertaken. Although there are only slight indications that one or another justification approach may be superior in promoting the immediate^ability to compute with an algorithm or the immediate ability to extend: it»-it may be that one or the other approach of justification i s considerably more valuable over long term instruction. For example, i t may be that algebraic justification is more valuable in terms of the ability of students to compute with an algorithm or extend i t , but only after a reasonably long exposure to this justification approach. The only way to determine this would be to compare groups taught for at least a year, perhaps more, exlusively with one justification technique. That i s , every 127 algorithm taught would be taught using the same approach, be i t a pattern approach, an algebraic approach, a pattern followed by algebraic approach, or an algebraic followed by pattern approach. Results would be gathered for a b i l i t y to compute with each algorithm learned and to extend each algorithm learned. Improvement over time could then also be considered. The results of such a study might have many implication for the role of juniro secondary mathematics in grades seven and eight. A trend study might be desirable here. Another important question s t i l l unanswered^, by this study i s whether the results are applicable at younger age levels than the eleven year old level of most grade five students. For example, i t i s possible that primary students perform better both in the areas of computation and extension i f taught by the pattern approach, whereas older elementary students do not. This might be discovered by replication of a study such as this one at other elementary school grade levels. It i s also desirable that the design of the study be replicated with other algorithms, both simple ones and complex ones. The algorithms studied should include both the standard computational algorithms for addition, subtraction, multiplication, and division, and other algorithms which arise in the curriculum. This would lead to information about the place of the component, number form to which the algorithm applies, in the proposed model for algorithm learning research. Certainly the criterion variable "ability to extend the algorithm" employed i n this study can be further categorized, perhaps even into the five separate components of fchetwriter s definition of extension, and the 1 effects ofjjustification type can be examined for these categorized criterion variables. For example, i t may be that algebraic justification 128 leads to a greater a b i l i t y to shortcut the algorithm in special cases, but that a pattern justification leads to a greater a b i l i t y to solve equations w&th missing operands requiring use of the algorithm. a new definition of"extending"might Similarly, lead to examination of transfer effects of different methods of justification on the learning of new algorithms. Reexamination of the proposed model for algorithm instruction leads to an even greater number of suggestions for further research. First, a further examination of the component of justification i s possible, particularly in extending the definition of pattern j u s t i f i c a tion to include use of three-dimensional physical analogy. The effect) of this newly defined justification type might then be examined using the design of the current study. Similarly, other mixtures of pattern and algebraic justifications might be researched. Second, other combinations of components of the model can be examined; for example, the interaction of justification type with number form to which the algorithm applies can be examined by looking at several algorithms accomplishing the same operationsfor different number forms; for example, addition for whole numbers, addition for fraction, and addition for decimals. Finally, there remains much research to be done in an attempt to extend the proposed model. As was suggested previously, the model lends i t s e l f to examination of justification of mathematical concepts, as well as mathematical algorithms. Pattern and algebraic justifications could be employed with simple and complex concepts to investigate the effects of justification type on the students' ability to solve word problems based on the concept or perhaps the effects on the students' ability to explain that concept. The model might also incorporate a 129 teacher preference component. Only by pursuing these kinds of studies w i l l i t be clear whether the model for research into algorithm learning, or modifications of i t , proposed i n this study i s a useful one. 130 REFERENCES 1. Ausubel, David P. The Psychology of Meaningful Verbal Learning. New York: Grune and Stratton, I963. 2. Bates, Thomas. "The Road to Inverse and M u l t i p l y , " The Arithmetic Teacher. XV ( A p r i l , I968), 347-354. 3. Becker, Jerry P. 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"Precision i n Research i n Mathematics Learning: The Emerging F i e l d of Psychomathematics," Journal of Research i n Science Teaching. IV ( I 9 6 6 ) , 253-273. 37. , and John Durnin. "Extra-Scope Transfer i n Learning Mathematical Strategies," Journal of Educational Psychology. LIX (1968), 350-354. 38. , Ernest Woodward, and Frank Lee. "Rule Generality and Consistency i n Mathematics Learning," American Educational Research Journal. IV (I967), 303-319. 39. Schrankler, William. "A Study of the Effectiveness of Four Methods for Teaching M u l t i p l i c a t i o n of Whole Numbers i n Grade Four," Dissertation Abstracts. XXVII: 4055. 1967. 40. Scott, Lloyd. "A Study of Teaching D i v i s i o n through the Use of Two Algorisms," School, Science, and Mathematics. LXIII (December, 1963). 739-752. 41. Shumway, Richard J . "Negative Instances and Mathematical Concept Formation: A Preliminary Study," Journal f o r Research i n Mathematics Education. I I (May, 1971), 218-227. 42. Smith, B. Othanel, Milton Meiux, J e r r o l d Coombs, Graham Nuthall, and Robert Precians. A Study of the Strategies of Teaching. Urbana: Bureau of Educational Research, University of I l l i n o i s , 1967. 43. Spooner, George A., and Richard L. Mentzer. Introduction to Number Systems. Englewood C l i f f s : Prentice-Hall, Inc., I968. 133 44. Tatsuoka, Maurice M. Multivariate Analysis. and Sons, Inc., 1971* New York: John Wiley 4 5 . Vance, J.H. "The E f f e c t s of a Mathematics Laboratory Program i n Grades 7 and 8 - an Experimental Study." Unpublished doctoral d i s s e r t a t i o n , University of Alberta, 1969« 46. W i l i e r , David. S c i e n t i f i c Sociology. Englewood C l i f f s : Prentice- H a l l , Inc., 1967. 47. Wolfe, Richard Edgar. "Strategies of J u s t i f i c a t i o n Used i n the Classroom by Teachers of Secondary School Mathematics," School. Science, and Mathematics. LXXII ( A p r i l , 1972), 334-338. 48. Wright, David J . "Groups and Experimental Units i n Educational Research." Papre presented a t the American Educational Research Association Annual Meeting, Los Angeles, 1969* 134 - APPENDIX A INSTRUCTIONAL MATERIAL 135 Multiplication of a Mixed Number by a Fraction Outline for approach p: WE WILL NOW LEARN A WAY TO MULTIPLY A MIXED NUMBER BY A WHOLE NUMBER. REMEMBER THAT A MIXED NUMBER IS ONE LIKE A A WHERE WE HAVE A WHOLE PART AND A FRACTIONAL PART LESS THAN 1. WE ALL REMEMBER THAT WHOLE NUMBERS ARE NUMBERS LIKE 1,2,3. BUT TO DO THIS, WE MUST FIRST DO SOME REVIEWING. I WILL CALL OUT SOME MULTIPLICATION QUESTIONS. Ask the following questions: If there is much d i f f i c u l t y in answering these questions on the part of the class asia whole, then draw diagrams to illustrate the problems. For example, to illustrate: 6x2 x x XX XX XX XX XX 5x5 X X X X X X X X X X X X X X X XX XX XX XX XX Notice that the f i r s t number represents the number of rows and the second number represents the number of columns. 136 BECAUSE WE ARE DEALING WITH FRACTIONS, WE HAD BETTER REMEMBER SOME OF OUR FRACTION WORK, AS WELL. Go over items 15-19 on the pretest. Read each item, and ask for an answer. Discuss, i n particular, that the name of a shaded region depends on the number of parts of the same size into which the figure i s drawn and the number of these parts that are shaded i n . Then review mixed numbers i n the following manner: _ SUPPOSE I HAVE 3 <{ . THAT MEANS THAT I HAVE 3 WHOLES AND ^ ANOTHER WHOLE. THAT IS, I HAVE A PICTURE LIKE: IF I HAVE £ ^ IF I HAVE 5"3 OF a , 1 DRAW A PICTURE LIKE: I DRAW A PICTURE LIKE: Have the students think about how to draw diagrams representing Ask one student to come to the board to show each of these to the class. THERE IS ONE MORE PIECE OF REVIEWING TO BE DONE. WE WOULD LIKE TO REVIEW SOME IDEAS ABOUT AREA. REMEMBER THAT THE AREA OF A RECTANGLE TELLS ME THE NUMBER OF UNIT SQUARES THAT FIT ONTO THE RECTANGLE. FOR EXAMPLE, THE AREA OF A RECTANGLE WHICH IS 2 IN. BY k IN 137 IS 8 SQ. IN. SINCE I CAN DRAW A DIAGRAM LIKE: NOTICE THAT I COULD LOOK AT THIS DIAGRAM AS COUNTING 2 GROUPS OF 4 SQUARES EACH, WHICH IS ANOTHER WAY OF SAYING 2x4: 5 LET'S DO THE SAME FOR A RECTANGLE WHICH IS 3 IN. BY 3 IN. I CAN DRAW: c c AND I SEE THAT THE AREA IS 3 x 3 = 9 SQ. IN. IF MY RECTANGLE WERE 5 IN. BY 2 IN., I WOULD DRAW: AND THE AREA IS 10 SQ. IN. = 5 x 2 SQ. IN. Ask the students to consider what the areas of rectangles with dimensions 5 by 8, 3 by 9, and 8 by 4 would be. Explain that they may always go back to a diagram to f i n d the solutions. C a l l on three individuals to get the answers to these three questions. F i n a l l y , ask whether the area of a rectangle changes i f i t i s broken into 138 smaller pieces and their areas totalled to get the f u l l original area. If there i s any hesitation here, discuss to the degree you deem necessary. Draw the rectangle below on the board: SUPPOSE I BREAK, THIS RECTANGLE) INTO 2 PIECES, LIKE SO: NOTICE THAT TO FIND THE AREA OF THE FIRST RECTANGLE, I CAN JUST TOTAL UP THE AREAS OF THE SMALLER RECTANGLES: 3 x 3 + 3 x 1 = 3x4. LET'S FOLLOW THE SAME PROCEDURE ON ANOTHER RECTANGLE. I START WITH: HOW CAN I BREAK IT UP TO GET THE SAME TOTAL AREA? Accept any suggested break up and check the hypothesis that the areas of the two smaller pieces do total the area of the larger piece. ** Here the student w i l l learn how to find products of whole numbers and fractions with numerators of one, by finding the areas of appropriate rectangles, such as one with dimensions 6 by ^ or 4 by I WANT TO BE ABLE TO FIND ANSWERS TO MULTIPLICATION QUESTIONS WHERE ONE OF THE NUMBERS TO BE MULTIPLIED IS A FRACTION. BEFORE, WE NOTICED THAT AREAS OF RECTANGLES COULD BE FOUND BY MULTIPLYING 139 LENGTH BI WIDTH. REVERSING THIS IDEA, WE MIGHT SUPPOSE THAT MULTIPLYING TWO NUMBERS IS THE SAME AS FINDING AREAS OF RECTANGLES WITH THESE NUMBERS AS SIDE LENGTHS. FOR EXAMPLE, THE ANSWER TO COULD BE FOUND BY FINDING THE 2x5 AREA OF A RECTANGLE WITH WIDTH 2 AND LENGTH 5 . NOW L E T ' S APPLY THIS SAME IDEA TO FRACTIONS. SUPPOSE I WANT TO MULTIPLY A WHOLE NUMBER BY . j THAT MEANS I WANT TO FIND THE AREA OF A RECTANGLE WITH DIMENSIONS- THAT WHOLE NUMBER BY 1 ^ . SUPPOSE MY RECTANGLE HAS DIMENSIONS 1 BY \ WOULD DRAW: .1 NOTICE THAT I STARTED WITH A 1 BY 1 SQUARE, SO IT HAS AREA THEREFORE, BE i SINCE I JUST USE A 1. OF THE RECTANGLE, THE AREA WOULD , OR ONE HALF, WHICH CAN BE WRITTEN AS lx i BECAUSE OF THE CONNECTION BETWEEN MULTIPLICATION AND AREA. IF I WERE TRYING TO FIND THE SOLUTION TO WOULD DRAW A 2 x ^ , 1 i RECTANGLE OF DIMENSIONS 2 BY ^ , LIKE SO: THEN I MIGHT SAY, I HAVE 2 HALVES, OR L E T ' S FIND THE AREA OF A £ , 2 x a 5 BY -J RECTANGLE TO FIND I DRAW A RECTANGLE WITH DIMENSIONS 5 BY * , LIKE SO: 5 x ^ 140 THEN I COUNT: I HAVE 5 HALVES, OR ^ , OR 5 x Suggested end of day 1. Take special note to point out to the students that we are using multiplication notation to represent the area of rectangles just as we did when we found that the areas of rectangles with whole number sides could be found by taking the products of the dimensions. WHAT WOULD WE DO TO FIND 3 x ^ ? WE WOULD DRAW A RECTANGLE LIKE: if = 3 x 1L AND NOTE THAT THE AREA IS 3 FOURTHS = THEREFORE, 3x4. = !• AND NOTE THAT THE AREA IS 6 HALVES, OR 1 THEREFORE, 6 x \ ~ , 6 x -L 2. TO FIND THE SOLUTION TO 2 x cf • I WOULD DRAW A RECTANGLE: 1 AND NOTE THAT THE AREA SHADED IN IS 2 FIFTHS, OR THEREFORE, 2 x 1 = 2l , OR 2 x ^ 141 Ask the students to consider the answers to: Explain that they may always go back to the diagram to find the solution. Have three individuals come to the board to show the;answers to these three questions. ** Here the student w i l l learn how to find products of whole numbers and proper fractions (fractions with numerators smaller than the denominators), by finding the areas of appropriate rectangles, such as one with dimensions 6 by ~ or one with dimensions 4 by . ** NOW THAT WE KNOW HOW TO FIND AREAS OF RECTANGLES WHERE ONE OF THE DIMENSIONS IS A FRACTION LIKE j OR ^ OR X If .LET'S TRY TO EXTEND THIS TO FRACTIONS WHERE THE NUMERATOR IS NOT 1, LIKE a. "V 3 •| OR 5 OR . 3 SUPPOSE WE ARE TRYING TO FIND 2 x If . THAT MEANS WE WANT TO FIND THE AREA OF A RECTANGLE WITH DIMENSIONS 2 BY j AS BEFORE, WE DRAW A RECTANGLE OF DIMENSIONS 2 BY 1, BUT ONLY . SO, JUST MARK IN THE AREA IN WHICH WE ARE INTERESTED. SO WE DRAW A DIAGRAM, LIKE THE FOLLOWING ONE: NOTICE THAT WE ARE NOW TRYING TO FIND THE AREA OF A RECTANGLE 5 WHICH IS OF DIMENSIONS OF AREA 2 x | 2 BY T . SO WE HAVE 3 COLUMNS NOW, EACH . 1 WOULD LIKE TO RENAME THIS AREA: 142 f I HAVE X X if. + X + % = ^ = SHADED IN. 2 x 3 FOURTHS, OR NOTICE THAT IF I COUNT FOURTHS, I HAVE FOURTHS. SO, 2 x i - *3 LET'S USE THIS PROCEDURE TO FIND , A 3 x f . * 5 I FIND THE AREA OF A RECTANGLE OF DIMENSIONS 1 THEN MY AREA IS 3 BY J , SO I DRAW 3 BY 1, AND SHADE IN THE A RECTANGLE OF DIMENSIONS 3x2 -| LIKE: f 3 + 3 + 3 + 1 "5 "5 THEREFORE, THE PRODUCT 3x = 5 5 5 i£ 5 = 3*£ 5 5 NOTICE THAT IN MY DIAGRAM, 1 2 RECTANGLES, EACH OF AREA ± (FOUR COLUMNS EACH WITH THREE FIFTHS) WERE SHADED IN. SUPPOSE I WERE TRYING TO FIND 5 x . WHAT WOULD YOU PREDICT THAT THE ANSWER IS? ACCORDING TO THE PATTERN FROM THE PAST TWO PROBLEMS, IT WOULD SEEM THAT THE ANSWER SHOULD BE ( 3 x 5 ) FOURTHS, CK % . IF WE DRAW THE DIAGRAM, WE SEE THAT OUR PREDICTION WAS CORRECT. WE HAVE 3 COLUMNS EACH OF AREA (5 x 4r ) AND A TOTAL OF RECTANGLES EACH OF AREA ^ SHADED IN. 5 CONSIDER THE ANSWERS TO THE FOLLOWING 3 QUESTIONS: 3 3x5 143 Ask one student to explain the answer to each of these: questions by f i r s t giving the answer and then drawing a diagram to verify i t on the board. Sugges ted,end of; day Z• ** Here the student w i l l learn how to find products of whole numbers and mixed numbers by finding the areas^of appropriate rectangles with dimensions such as 6 by <*J , or 3 by 3 /f r . ** NOW THAT WE KNOW HOW TO FIND PRODUCTS OF WHOLE NUMBERS AND WHOLE NUMBERS AND WHOLE NUMBERS AND FRACTIONS, LET'S COMBINE THESE TO FIND PRODUCTS OF WHOLE NUMBERS AND MIXED NUMBERS, SUCH AS 2 x 3 "3 SUPPOSE I WANT THE ANSWER TO THE MULTIPLICATION QUESTION: 2 x 3 V I REALIZE THAT TO FIND THE ANSWER, I CAN DRAW A RECTANGLE WITH DIMENSIONS 2 BY "b\ . AS BEFORE, MULTIPLYING TWO NUMBERS IS THE SAME AS FINDING THE AREA OF A RECTANGLE WITH THOSE TWO NUMBERS AS ± ^~2~* SIDE LENGTHS. THEREFORE, I DRAW: V 1 "j, % T 77, IT WOULD BE EASY IF I COULD SPLIT UP THE PROBLEM INTO FINDING THE AREAS OF PARTS OF RECTANGLES, THOUGH. HOW MIGHT I SPLIT THIS RECTANGLE TO MAKE THE COMPUTATION EASIER? ONE WAY WOULD BE TO SPLIT IT LIKE THIS: X ft 144 THEN THE AREA OF THE 2 BY 3 RECTANGLE WOULD BE 2 x 3 = 6 THE AREA OF THE 2 BY i RECTANGLE WOULD BE 2 x 1 AND = 4 • I MIGHT WRITE: 2x 3^ =2x3 + 2 x ^ = 6 + ^ = 6"^ . NOTICE THAT THE WHOLE NUMBER PART OF THE ANSWER CAME FROM MULTIPLYING THE WHOLE NUMBER 2 BY THE WHOLE NUMBER 3 AND THE FRACTIONAL PART BY MULTIPLYING THE WHOLE NUMBER 2 BY THE FRACTION ^ T LET'S TRY THIS PROCEDURE ON A FEW MORE PROBLEMS. SUPPOSE WE WANT TO FIND 3 x ^ 5 . WHAT DO YOU PREDICT THE ANSWER WILL BE? ACCORDING TO WHAT WE GUESSED BEFORE, THE WHOLE NUMBER PART OF THE ANSWER SHOULD COME FROM 3x2 AND THE FRACTIONAL PART FROM OUR ANSWER SHOULD BE ^5 J, 3 x 5 THEREFORE , AND SO WE DRAW THE DIAGRAM TO CHECK: AND WE DO HAVE A TOTAL AREA OF 6 + ^ WHAT WOULD BE THE ANSWER TO 4 x ,2 <? ? IT SHOULD BE WHAT? the answer i~C( . LET'S VERIFY WITH A DIAGRAM: 9 145 Have the students work on: 3 x 2 x 1 4 x Ask three students to come to the board and show their answers with a diagrammatic explanation for each. Hand students worksheet 1 to complete. Suggested end of day 3* 146 Multiplication of a Mixed Number by a Fraction Outline for approach P: NOW THAT WE KNOW HOW TO MULTIPLY A MIXED NUMBER BY A WHOLE NUMBER, WE ARE GOING TO LEARN HOW TO MULTIPLY A MIXED NUMBER BY A FRACTION. BUT, AGAIN, WE JUST WANT TO REMIND OURSELVES OF A FEW THINGS BEFORE WE GO ON. LET'S REVIEW QUICKLY AGAIN SOME IDEAS ABOUT AREA. REMEMBER THAT THE AREA OF A RECTANGLE TELLS ME THE NUMBER OF SQUARE UNITS THAT FIT INTO THE RECTANGLE. FOR EXAMPLE, TO FIND THE AREA OF A RECTANGLE WHICH IS 2 UNITS BY 9 UNITS, I DRAW: AND SEE THAT THE AREA IS 18 8Q. UNITS. NOTICE THAT I CAN VIEW THIS AS 2 x 9 < r T T T U J SQ. UNITS LIKE SO: M SO, IF I HAVE A RECTANGLE WHICH HAS DIMENSIONS I D 8 UNITS BY 3 UNITS, I CAN DRAW A DIAGRAM SUCH AS: AND VERIFY THAT THE AREA IS 8 x 3 SQ. UNITS. LET'S TRY ONE MORE AREA QUESTION. SUPPOSE MY RECTANGLE HAS DIMENSIONS OF 3 UNITS BY 9 UNITS. I WOULD DRAW A RECTANGLE: D 14? Ask the students to consider the following products as area questions: Ask three students to come to the board to diagrammatically explain their answers. WHAT HAPPENS IF I TRY TO FIND THE AREA OF A RECTANGLE BY BREAKING IT UP INTO SMALLER RECTANGLES AND TOTALLING UP THE AREAS OF THESE?? WILL THE TOTAL FROM THESE RECTANGLES BE THE SAME AS THE AREA OF THE ORIGINAL RECTANGLE? WHAT'S YOUR GUESS? Expect some kind of answer here. LET'S CHECK THIS. SUPPOSE I START WITH A 6 BY 6 RECTANGLE. I COULD CUT IT LIKE /CHISlTO GET TWO SMALLER RECTANGLES: WHAT'S THE AREA OF THE ORIGINAL RECTANGLE? WHAT'S THE TOTAL AREA OF THE TWO SMALLER RECTANGLES? DOES THIS SEEM REASONABLE? 148 Expect the answers for the three areas and the sum of 36,18 and 18. Also expect the students to believe i n the reasonability of the premise. HOW WOULD IOU USE THIS PROCEDURE TO HELP YOU TO FIND THE AREA OF A RECTANGLE OF DIMENSIONS 6 BY 14- ? Allow the students to suggest any breakup of the 14- so as to minimize the d i f f i c u l t y of the computation. For example, to break up to a 6 by 10 and a 6 by 4- situation, or a 6 by 7 and 6 by 7» Demonstrate one of these breakups to the class. NOW LET'S GET BACK TO MULTIPLYING WITH FRACTIONS. EARLIER WE LEARNED HOW TO FIND AREAS OF RECTANGLES WITH DIMENSIONS LIKE 3 BY •§ . THIS WAS TO SOLVE PROBLEMS LIKE 3 x ;§ . .NOW WE WOULD LIKE TO SOLVE PROBLEMS WHERE THE NUMBERS ARE TURNED AROUND, PROBLEMS LIKE | x 3. JUST AS BEFORE, LET'S START WITH THE FIRST NUMBER STANDING FOR THE DIMENSION OF THE "VERTICAL" SIDE OF THE RECTANGLE AND THE SECOND 2 NUMBER THE DIMENSION OF THE "HORIZONTAL" SIDE. SO, TO SHOW 3 BY 1 1 1 . 3, I DRAW: NOTICE, I CAN START BY SETTING UP RECTANGLES WHICH HAVE A DIMENSION OF 1 FOR THE FRACTIONAL LENGTH AND JUST USE PART OF THE RECTANGLE. 149 TO FIND THIS PRODUCT, I FIND THE AREA OF THE SHADED REGION OF THE RECTANGLE. NOTE THAT I HAVE 3 COLUMNS EACH OF AREA 3 x AND SO I HAVE A TOTAL AREA OF ANSWER AS I i x l= T ; THIS IS THE SAME x 3 , WHICH WE DID BEFORE. WE CAN CHECK ON THE DIAGRAM. I HAVE ( 2 x 3 ) RECTANGLES, EACH OF AREA -~ SO I HAVE A TOTAL o AREA OF 6 x i 3 = 4 , AS WE SAID. 3 •I LET'S FIND THE PRODUCT: x 4. I WANT TO FIND THE AREA OF A RECTANGLE WITH DIMENSIONS J 5 I DRAW: i. 71—-7- —7*"/ /> . ,— 2222 J- x 1 = X S 5 NOTICE THAT I HAVE 4 COLUMNS EACH OF AREA I HAVE A TOTAL AREA OF 4 x 1 THEREFORE, 3 x 4 = = , SO . ^ WHAT WOULD BE THE PRODUCT: Expect the answer BY 4. 3x6? Then draw the diagram to verify. -±—-x:—ri—nt 77Z< 777 I HAVE 6 COLUMNS EACH OF AREA 3f , SO I HAVE A TOTAL AREA OF Ask the students to find these products: 3 ^ x2 H- x 3 1x4 5 7-22-LZ-L ^ 150 Explain that they may always refer back to a diagram to make certain. Have three students come to the board to diagrammtically explain their answers. ** Here the students w i H learn to find the products of unit fractions by finding the area of appropriate rectangles; he w i l l do problems such as Draw a large unit square on the board. t £ « Label the sides as indicated. WHAT HAPPENS IF I CUT THE SQUARE LIKE THIS? WHAT ARE THE DIMENSIONS OF THE RECTANGLES I HAVE SHADED? NOTICE THAT THE ORIGINAL SQUARE HAD AREA 1. i Expect the answer 1 by j " . WHAT IS THE AREA OF EACH OF THESE RECTANGLES? Expect the answer "^3 . WHAT HAPPENS IF I ALSO CUT THE SQUARE THIS WAY? 1 WHAT ARE THE DIMENSIONS OF THE NEW SMALLER RECTANGLES FORMED? Expect the answer -~r by -= 151 NOW THE AREA OF EACH OF THESE SMALLER RECTANGLES CAN BE REPRESENTED BY A MULTIPLICATION STATEMENT, NAMELY — x . WHAT IS THE AREA OF EACH OF THESE SMALLER RECTANGLES? NOTICE THAT I KNOW THE AREA OF THE ENTIRE SQUARE WAS 1 SQUARE UNIT, SO THE AREA OF EACH OF THESE RECTANGLES MUST BE A FRACTION OF THAT AND THE FRACTION IS DETERMINED BY THE NUMBER OF RECTANGLES THERE ARE IN THE FIGURE. HOW MANY RECTANGLES ARE THERE OF DIMENSIONS ^ BY 4 ? J Expect the answer: 6. THEREFORE, EACH OF THE RECTANGLES HAS WHAT AREA? Expect the area: ~Q, SINCE WE ALREADY SAID THIS AREA COULD BE REPRESENTED IN A MULTIPLICATION WAY AS HOW WOULD WE FIND -3. x ={= x 3 , THAT MEANS ? WE DRAW A RECTANGLE WITH DIMENSIONS 1 BY 1, LIKE SO: V4 AND CUT: HOW MANY SMALL RECTANGLES ARE THERE IN THE UNIT SQUARE? WHAT IS THE TOTAL AREA OF EACH? Expect the answers 28 and ^ , respectively. SINCE EACH AREA CAN ALSO BE REPRESENTED AS ^ x ~j f THAT MEANS 152 X T H A X ± T WHAT DO YOU THINK j x WILL BE? x Expect the answer LET'S CHECK WITH A DIAGRAM. I CAN DRAW: x x -3 BY AND EACH RECTANGLE, WHICH IS OF DIMENSIONS DOES HAVE X AREA Zjg SINCE THERE ARE WHAT ABOUT £ x 7 Expect the answer 4 18 OF THEM IN THE UNIT SQUARE. ? / ____ LET'S CHECK. I CAN DRAW: AND I SEE THAT THERE ARE 36 SMALL RECTANGLES, SO EACH HAS AREA 3^ 4X BUT SINCE THE DIMENSIONS OF EACH ARE ~-f BY , THEN DO YOU NOTICE THAT IN EACH OF THESE PROBLEMS, IF I MULTIPLY Q X BY , I GET A FIGURE WITH D x _ EACH OF AREA, THEREFORE, FOR x -3- _______ 7 7 » AND SMALL RECTANGLES IN IT, CHECK BACK TO OUR DIAGRAMS f X f Suggested end of day 4. ** Here the student w i l l learn how to find products of any two proper fra> tions by finding the areas of appropriate rectangles; he w i l l do problems 153 such as £ 5 x x ^ 2> or A 5 x SUPPOSE WE WANT TO MULTIPLY i 7 i 3 ** _ 3 BY i f .WE KNOW THAT WE CAN FIND THE AREA OF A RECTANGLE WITH THESE DIMENSIONS TO SOLVE OUR PROBLEM. SO LET'S START WITH A SQUARE AGAIN. IF WE WANT ONE OF THE DIMENSIONS TO BE j , WE CUT IT SO: •7///// IF WE WANT THE OTHER DIMENSION TO BE */4. -± . , WE CUT IT SO: T THEN THE AREA OF THE SHADED REGION IS THE AREA WE WANT. HOW MANY OF THE SMALL RECTANGLES ARE SHADED IN? Expect the answer 6. NOTICE THAT THE NUMBER IS 2 x 3 SINCE THERE ARE 2 ROWS EACH OF 3 RECTANGLES SHADED IN. WHAT IS THE AREA OF EACH OF THESE RECTANGLES? Expect the answer ±£_ . WE ALREADY LEARNED THAT SINCE THERE ARE TANGLES ALTOGETHER, EACH HAS AREA THEREFORE, WE HAVE 3x4 OF THESE REC- 3^ . 2 x 3 PIECES EACH OF AREA - j - , SO WE HAVE A TOTAL AREA OF NOTICE THAT THE NUMERATOR OF MY ANSWER TELLS ME THE NUMBER OF 154 SHADED PIECES AND THE DENOMINATOR TELLS ME THE TOTAL NUMBER OF PIECES IN THE FIGURE. LET'S FIND |- x I DRAW: USING THIS APPROACH: 4> fa. THEN THE NUMBER OF SHADED SQUARES IS 3 x 2 . EACH OF THESE SQUARES HAS AREA 3 5 SINCE THERE ARE 5 x 3 OF THEM IN THE ENTIRE UNIT SQUARE. SO I HAVE A TOTAL AREA OF 3 „ 1 THEREFORE, WHAT WOULD Expect the answer: fL x 5. k 5" j g " SHADED IN. _ C BE? 3o LET'S CHECK WITH A, DIAGRAM: WE DO HAVE 4 x 2 SQUARES EACH OF AREA J AREA OF Q SHADED IN, SO A TOTAL . NOTICE THAT THE NUMERATOR OF MY PRODUCT IS THE PRODUCT OF MY NUMERATORS (8 = 4 x 2 ) JUST AS THE DENOMINATOR OF MY PRODUCT WAS THE PRODUCT OF MY DENOMINATORS (30 = 6 x 5 ) . Ask the students to find the following products: T ~2f X £, Ai± Have three students come to the board to diagram their answers. 155 ** Here the student w i l l learn to find products of fractions and mixed numbers by finding the areas of appropriate rectangles with dimensions like 4? by £ 3 0 A or 4 5 by 3 s . ** NOW THAT WE KNOW HOW TO FIND AREAS OF RECTANGLES LIKE AND BY BY 2 , WE ARE READI TO FIND AREAS OF RECTANGLES LIKE 3 3 <7-Li 1$ BT ^ 3 ^ IN ORDER TO FIND PRODUCTS LIKE 1 SUPPOSE I WANT TO FIND THE SOLUTION TO: I CAN DRAW A DIAGRAM LIKE THE FOLLOWING: yyy/yy/ Oyy^ <yyyyy /yy///y/ yyyyyy RECALLING THE REVIEW DONE EARLIER ABOUT SPLITTING UP RECTANGLES WITHOUT CHANGING AREA, I REALIZE THAT I CAN SPLIT THIS RECTANGLE INTO TWO PARTS SO AS TO MAKE THE COMPUTATION EASIER. WILL HAVE DIMENSIONS ^ BY 2 ONE RECTANGLE AND THE OTHER DIMENSIONS BY 3 AND THE AREA REMAINS THE SAMj^ SO LONG AS I ADD THE RESULTS. /// ////// J J /// //////. 4 I CAN EASILY FIND THE AREAS OF EACH OF THESE SMALLER RECTANGLES. 3 THE AREA OF THE FIRST RECTANGLE OF DIMENSIONS BY MULTIPLYING I \ BY KNOW THAT l * ^ = H 4 % BY 2 I GET 2. WHICH I CAN VERIFY WITH THE DIAGRAM. T TO GET THE AREA OF THE OTHER RECTANGLE WITH DIMENSIONS I MULTIPLY | BI J AND GET | x j = | ^ BY J WHICH I CAN A LSD VERIFY WITH A DIAGRAM. SO I CAN TOTAL THEM TO GET THE AREA OF THE ORIGINAL RECTANGLE AND , 156 I FIND THAT x £ 3 * 7 + 1 7£ WE WILL LEAVE OUR ANSWERS IN THIS FORM TO SHOW SEPARATELY THE FRACTION TIMES THE WHOLE NUMBER PART AND THE FRACTION TIMES THE FRACTION PART. LET'S FIND % Jt x ^ j USING AREAS. I CAN DRAW: Z27ZZZZ WHICH I CAN SPLIT LIKE SO A Yr -> *— f 1 x3 THE AREA OF THE SECOND RECTANGLE IS i x ^= i 5 $ 15 SO MY TOTAL AREA, AND THE PRODUCT £ x j j - IS {Z + THAT IS, 5 (3 + M >= - + ^ It 15 Ask the students to find these products: Ask four students to come to the board and diagrammatically explain their answers. Suggest strongly that they do their breaking of the rectangles so ss to get a fraction by a whole and a fraction by a fraction for their pieces. Suggested end of day 5» 157 Multiplication of a Mixed Number by a Fraction Outline for approach a: WE WILL NOW LEARN A WAY TO MULTIPLY A MIXED NUMBER BY A WHOLE NUMBER. REMEMBER THAT A MIXED NUMBER IS ONE LIKE 2~2 WHERE WE HAVE A WHOLE NUMBER PART AND A FRACTIONAL PART LESS THAN 1. WE ALL REMEMBER THAT WHOLE NUMBERS ARE NUMBERS LIKE 1,2,3. BUT TO DO THIS, WE MUST FIRST DO SOME REVIEWING. I WILL CALL OUT SOME MULTIPLICATION QUESTIONS. Ask the following questions: 6x2 7x5 9x8 2x8 9x6 If there i s much d i f f i c u l t y i n answering these questions on the part of the cla.s as a whole, then apply an argument involving the distributive principle like the following one: ^ For example, to illustrate: 6x2 = 3 x 2 + 3 x 2 = 6 + 6 = 12 5x5 =2x5 + 2 x 5 + 1 x 5 = 10 +10 + 5 = 2 5 . Do not use diagrams to illustrate these. If the student has trouble i n breaking up the f i r s t number into only two addends, like 6 into 3+3, allow him to use more addends which are smaller, such as 6 as 2+2+2. 158 BECAUSE WE ARE DEALING WITH FRACTIONS, WE HAD BETTER REMEMBER SOME OF OUR FRACTION WORK, AS WELL. Go over items 20-25 on the pretest. Read each item, and ask for an answer. Discuss, i n particular, that a fraction can be renamed i n terms of a multiplication statement: e.g. "7 = 7 7 + + ^ + 7 4x = 3 x i Then review mixed numbers i n the following manner: SUPPOSE I HAVE _. 3 4 . THAT MEANS THAT I HAVE 3 WHOLES AND ANOTHER WHOLE. THAT IS, I CAN REWRITE 3% IF I HAVE 2+f IF I HAVE ~ f , I CAN REWRITE THIS AS £^ = , i CAN REWRITE THIS AS 3 if OF 3 + 4L • . • Have the students write addition expressions to represent "3 7^" 6^ ; 2 5 ; Z 5 . Ask one student to answer aloud each of these questions. THERE ARE ONLY ONE OR TWO MORE THINGS TO BE REVIEWED. ONE OF THESE IS THE SPECIAL PROPERTY OF MULTIPLICATION BY 1. Go over items 31-34 on the pretest. In particular, have the students note that any number times one i s that number, even i f that number i s a fraction. ANOTHER IMPORTANT PROPERTY OF MULTIPLICATION, BESIDES MULTIPLYING BY ONE, IS THE COMBINATION OF MULTIPLICATION AND ADDITION TO MAKE MULTIPLICATION EASIER. SUPPOSE I AM TRYING TO FIND THE ANSWER TO FIND 3 x 7 + 3 x 7 , WHICH IS MUCH EASIER 3 x 14. TO DO. ONE WAY IS TC 159 THEN 3 x 14 = 3 x 7 + 3 x 7 = 21 +21 = 42. OR 3 x 14 = (3 x 4) + (3 x 4)+ ( 3 x 6 ) = 12+12+18 = 42. WHAT WOULD BE A WAY TO FIND 8 x 16 BY FINDING AND ADDING SMLLER PRODUCTS? Accept any suggested breakup of 16 which would make the problem easier, for example: 8 x 10 + 8x 6 or 8 x 8 + 8 x 8 . Go over items 38-40 on the pretest. Read each item, and ask for an answer. Point out the use of the distributive principle i n each case, for example,, in item 38, the (42+38) was broken up. ** Here the student w i l l learn how to find products of whole numbers and fractions with numerators of one by appropriately renaming the fractions; he w i l l do problems such as 6 x or 4 x -jg . ** I WANT TO BE ABLE TO FIND ANSWERS TO MULTIPLICATION QUESTIONS WHERE ONE OF THE NUMBERS TO BE MULTIPLED IS A FRACTION. SUPPOSE I WANT TO MULTIPLY A WHOLE NUMBER BY ~k . THAT MEANS I WANT TO FIND ANOTHER NAME FOR THAT WHOLE NUMBER TIMES J SUPPOSE THE PROBLEM IS 1 x J- . I KNOW THAT ONE TIMES ANYTHING IS THAT THING ITSELF, SO 1 x "_* = J. P. IF I WERE TRYING TO FIND THE SOLUTION TO 2 x £ , 1 WOULD WRITE: 160 1 * h• 2 2 x i.= Jl I J + , so • LET'S FIND 5 x ± '«£ - m n *i A. 5 x -1 _ 5 a. ^7- *i -- | , so • Take special note to point out to the students that we are using multiplication notation as repeated addition and renaming fractions accordingly. Especially point out that this i s no different than what we did with 3 x 4 = 4+4+4. whole numbers, for example, Suggested end of day 1. WHAT WOULD WE DO TO FIND 3 x 4 ? WE WOULD REWRITE THIS AS; 3x * = THEREFORE, 4 + -xf + 3 x -7f ^ = 14 3 x = ' TO FIND THEANSWER TO 6 x | , WE WOULD REWRITE THIS AS: 6x f • THEREFORE, + i •* 6 x i = | * + * = £ . TO FIND THE SOLUTION TO 2 x f" , WE WOULD REWRITE THIS AS: 2 x J THEREFORE, - 5 + 2 x ± 5 = i - Make sure that the students see that i n each case, the addition can be performed to get the resulting fraction. Ask the students to consider the answers to: 161 Explain that they may always go back to the addition problem to find the solution. questions. Have three individuals give their answers to these three Do not use diagrams to show the answers. ** Here the student w i l l learn how to find products of whole numbers and proper fractions (fractions with numerators smaller than the denominators) again by renaming the product as a fraction; he w i l l do questions such as 6x4 or 4 x j NOW THAT WE KNOW HOW TO FIND PRODUCTS WHERE ONE OF THE NUMBERS TO BE MULTIPLIED IS A FRACTION SUCH AS OR , LET'S 3 TRY TO EXTEND THIS TO FRACTIONS WHERE THE NUMERATOR IS NOT ONE, SUCH AS -| OR OR 2 x -| . THAT MEANS SUPPOSE WE ARE TRYING TO FIND, FOR EXAMPLE, THAT WE WANT TO RENAME 2 x ^ BUT 2x ^ THEREFORE, = 2x 1 AS A FRACTION. _ J? 3 JL_~_Jj4[_ ~ k NOTICE I COULD GO BACK TO: 2 x ^ LET'S USE THIS PROCEDURE TO FIND = (^ +^ + ^ 3 i )+(f"+£ £ I REWRITE: 3x 5 THEREFORE, AGAIN I COULD GO BACK TO ADDING FRACTIONS WITH NUMERATORS OF ONE TO VERIFY: 3 x i = 3 x < f ^ + ^ i ) = i + 4+£+±+±+± 5 5 5 5 5 +5 162 SUPPOSE I WERE TRYING TO FIND 5 x | . WHAT WOULD YOU PREDICT THAT THE ANSWER IS? ACCORDING TO THE PATTERN FROM THE PAST TWO PROBLEMS, IT WOULD SEEM THAT THE ANSWER SHOULD BE 3 x 5 FOURTHS, OR 45 -% . IF WE DO THE ADDITION TO CHECK, WE<SEE THAT OUR PRE- DICTION WAS CORRECT. WE HAVE: , 3 I I J 3 5 x ^ $ ^ . ^ ., ^ . ^ M 15 - __ CONSIDER THE ANSWERS TO THE FOLLOWING 3 QUESTIONS**. 3 8x ^ 5 x 3 x 1 T Ask one student to explain the answer to each of these questions by f i r s t giving the answer and then writing the addition statement to verify. Suggested end of day 2. ** Here the student w i l l learn how to find products of whole numbers and mixed numbers by renaming the mixed numbers as sums and using the d i s t r i butive principle of multiplication over addition!: he w i l l do problems such as 6 » o r 3x . ** NOW THAT WE KNOW HOW TO FIND PRODUCTS OF WHOLE NUMBERS AND WHOLE NUMBERS AND WHOLE NUMBERS AND FRACTIONS, LET'S COMBINE THESE TO FIND PRODUCTS OF WHOLE NUMBERS AND MIXED NUMBERS, SUCH AS 2 x j f SUPPOSE I WANT THE ANSWER TO THE MULTIPLICATION QUESTION: 2 x 3 ij> I REALIZE THAT TO FIND THE ANSWER, I MUST RENAME THIS SOMEHOW. I KNOW THAT I CAN REWRITE THEN, AS 3 + ^ . 2 x 3 if WOULD BE THE SAME AS 2x3 + 2 x f (JUST AS 2x7=2x3+2x4) 163 SO I GET 2x J. = 2x3 / + 2x-jf =6 2. X + 4 = x 4 ^ NOTICE THAT THE WHOLE NUMBER PART OF MI ANSWER CAME FROM MULTIPLYING THE WHOLE NUMBER 2 BY THE WHOLE NUMBER 3 AND THE FRACTIONAL PART BY MULTIPLYING THE WHOLE NUMBER 2 BY THE FRACTIONAL PART 4r • r LET'S TRY THIS PROCEDURE ON ANOTHER QUESTION. SUPPOSE WE WANT TO FIND 3 x ^ 5 . WHAT DO YOU PREDICT THE ANSWER WILL BE? ACCORDING TO WHAT WE GUESSED BEFORE, THE WHOLE NUMBER PART OF OUR ANSWER WILL COME FROM (3 x 2) AND THE FRACTIONAL PART FROM ( 3 x i OUR ANSWER SHOULD BE 65 ). THEREFORE , AND WE WRITE THE ADDITION STATE- MENT TO CHECK: 3 x ^5 = 3 x 2 + 3 xj = 6 + -J- = 6iT. WE GET THE TOTAL DESIRED. X WHAT WOULD BE THE ANSWER TO k x X T * IT SHOULD BE WHAT? Expect the answer $ 7f . LET'S VERIFY WITH AN ADDITION STATEMENT: * X 4x^f = 4 x (2 + y ) = ^ x 2 + 4 x 2 1 = 8+ = S?T Have the students work on: Ask three students to come to the board to show their answers with appropriate addition statements for each. Hand students worksheet 1 to complete. Suggested end of day 3» 165 Multiplication of a Mixed Number by a Fraction Outline for approach Ai NOW THAT WE KNOW HOW TO MULTIPLY A MIXED NUMBER BY A WHOLE NUMBER, WE ARE GOING TO LEARN HOW TO MULTIPLY A MIXED NUMBER BY A FRACTION. BUT, AGAIN, WE JUST WANT TO REMIND OURSELVES OF A FEW THINGS BEFORE WE GO ON. LET'S REVIEW QUICKLY AGAIN THE PROPERTY OF MULTIPLICATION BY 1. IF I MULTIPLY A NUMBER BY 1, IT DOES NOT CHANGE THAT NUMBER, EVEN IF THAT NUMBER IS A FRACTION. SO THAT lx A = ? Expect the answer SIMILARLY, IF I HAVE A NUMBER I CAN ALWAYS RENAME IT BY MULTIPLYING IT BY 1. FOR EXAMPLE, ANOTHER NAME FOR 7 s 1 x ?. USING THE PROPERTY OF 1, WHAT WOULD BE SOME OTHER NAMES FOR: 6 5 5 Expect the answers: 1x6 ,1x5. Ix | ONE MORE IMPORTANT PIECE OF REVIEWING IS ANOTHER FORM OF RENAMING. I CAN ALWAYS RENAME A FRACTION IN TERMS OF A MULTIPLICATION STATEMENT AND VICE VERSA. FOR EXAMPLE, I CAN REWRITE ^ AS 4j +"4 + 7 + 7 7 AND SO + AS 5 7 , 5 GROUPS OF 1 166 OR I CAN RENAME HOW CAN I RENAME AS 3 x |. 3 x i AS A FRACTION? J? Expect the answer HOW CAN I RENAME -~ Expect the answer AS A MULTIPLICATION STATEMENT? 2x 7 * Ask the students to rename the following fractions i n multiplication form: Have three students explain their answers. FINALLY, LET'S GO OVER THE RELATIONSHIP BETWEEN MULTIPLICATION AND ADDITION. OFTEN, TO FIND THE ANSWER TO A DIFFICULT MULTIPLICATION QUESTION, I COMBINE MULTIPLICATION AND ADDITION. FOR EXAMPLE, TO FIND 34 x 502, I MIGHT FIND 34 x 500 + 34 x 2 AND ADD THEM TO FIND 34 x 502. I CAN ALSO USE THIS PRINCIPLE WITH FRACTIONS. TO FIND 7 x ^ | , I CAN RENAME THE MIXED NUMBER PART AS 2 + , AND FIND EACH OF THE PRODUCTS SEPARATELY AND ADD. HOW COULD YOU SPLIT THE MIXED NUMBER IN EACH OF THESE FOR PURPOSES OF EASIER MULTIPLICATION? 6 x4s 3 X/L JL. T ,o Expect the breakup of the mixed number into a whole part and a fractional part. 167 NOW LET'S GET BACK TO MULTIPLICATION OF FRACTIONS. BEFORE, WE LEARNED HOW TO FIND PRODUCTS OF WHOLES BI FRACTIONS, LIKE 3x 4 • NOW WE WOULD LIKE TO SOLVE QUESTIONS WHERE THE 3 NUMBERS ARE TURNED AROUND, PROBLEMS LIKE — x 3. 3 JUST AS BEFORE, LET'S TRI SOME RENAMING. ^ CAN BE RENAMED IN A MULTIPLICATION WAI AS THEREFORE, i |x 3 = (2x 4 2 x ^ . ) x 3. 3 SINCE I CAN MULTIPLI NUMBERS IN ANI ORDER, I CAN REWRITE THIS AS SO, LET'S FIND THE PRODUCT: WELL, j x 4. CAN BE RENAMED AS 3x SO, = (3 x £ )x 4 = (3x4) xj - 12 x i - THEREFORE, J x 4 = ^. WHAT WOULD BE THE PRODUCT: x 6? 4 Expect the answer 2f • Then write the renaming to verify; | x 6 = 3 x ^ x 6 = 3 x 6 x ^ = 18 x ^; Point out to the students that they could use the order principle to find 168 the answers, but that they w i l l use renaming here just to get used to i t i n situations where they don't have as much option. For example, they 4 x 3 = i 5 3 renaming process. could solve x 4, but they would, instead, use the whole Ask the students to find these products: T Explain that they may always go back to a renaming statement to verify their answers. ** Here the students w i l l learn to find the products of unit fractions, such as i x ^ OT *or —- v —r- . ** SUPPOSE I WANT TO FIND THE ANSWER TO A MULTIPLICATION QUESTION WHERE BOTH OF THE NUMBERS TO BE MULTIPLIED ARE FRACTIONS. FOR EXAMPLE, WE MIGHT TRY x . WHAT DO YOU SUGGEST THE ANSWER MIGHT BE ? Wait for a response of (. before proceeding. LET'S SEE IF THIS IS REASONABLE. WHAT DO WE KNOW ABOUT ~Q ? = ONE THING WE KNOW IS THAT (IS ]). SO, WE KNOW THAT 6 x £ = !• THEREFORE, 1 I S A ^ (o NUMBER I CAN MULTIPLY BY 6 TO GET 1. WILL THERE BE ANY OTHER NUMBERS I CAN MULTIPLY BY 6 TO GET 1? X, IF THERE WERE, THEY WOULD HAVE TO EQUAL % LY WHAT WE MEAN BY SINCE THAT IS EXACT- _ , NAMELY THAT «. 6 , x_L 1. 1 169 6x ( 4 THEN, IF ^ X ) = 1, THAT WOULD MEAN THAT x 3- SINCE WAS THE ONLY NUMBER I COULD MULTIPLY BY 6 TO GET 1, 6x BUT, x = 3 ( *2- x 2 x ( i x = (3x3 ) | ) £ ) (2 x i : x ) = 1x1 = 1 SINCE I CAN MOVE THE NUMBERS AROUND WITHOUT CHANGING THE PRODUCT. NOTICE THAT ALL I DID WAS TO DECIDE WHETHER ± 1 WAS TO SEE IF 6 x ( ^ x ^ ) = 1. X ^ HOW WOULD WE FIND WE CHECK TO SEE IF X x y JL x X- = 7 ( x = Jz. = (7 x ^ ) ) x (4 x ^ ) = 1x1 = 1 SO , 28 x ( ^ -X-x ^ . x the answer ) = 1, AND SO, X 7 WHAT DO YOU THINK i x i3 k WILL BE? 3? * LET US CHECK THIS; IF THIS IS SO, THEN 18 x ( - - JL BY SEEING IF 28 x ( i ) x 4x ( ^ x 4 x I IS 1. BUT, 28 x 4 j: x i 3 C ) = 1. x ^ ) 7 170 BUT, 18 x ( -§ x = 6x x ) ( | x | 3 = (6x | ) )x(3xi ) J =1x1 = 1. 18 x ( 4 SO, 3 x ^ ) = 1, SO (> 1 X7 * x DO YOU NOTICE THAT IN EACH OF THESE PROBLEMS, IF I MULTIPLY ~Q BY , I GET AS AN ANSWER A FRACTION A -Q* K ' T H I S REASONABLE SINCE IN EACH CASE IF I MULTIPLY ^ x x^ ^ , IGOT(n )x( A Qx S E E M S A BY x ^ ) = l x l = l, Suggested end of day 4. ** Here the student w i l l learn how to find products of any two proper A, n fractions such as Jr- x or ~s 7 SUPPOSE WE WANT TO MULTIPLY B . WE KNOW THAT WE CAN Y 3 DO SOME RENAMING TO FIND THE ANSWER. j CAN BE RENAMED AS 2 x | AND | AS 3 x ^ I THEREFORE, -3 x ^ 3 ( 2 x j ) x ( 3 x j ) SINCE I CAN MULTIPLY IN ANY ORDER THIS IS THE SAME AS (2 x 3) x ( j- x WE ALREADY KNOW THAT ) x IS WE ALSO KNOW THAT (2 x 3) x ^ = THEREFORE, | x i LET'S FIND J x X * <3 = i /7- . i. . USING THIS APPROACH: J " . 171 I WRITE: 3 JL J T x = (3 x _f ) x (2 x = ( 3 x 2 ) x ( i x = (3 x 2) x _ Je- ~ '5 ) j ) ^ • THEREFORE, WHAT WOULD Expect the answer Jo LET'S CHECK WITH A RENAMING: 4- z T "5 x - (4 x X ) x (2 x ^ = (4x2) x ( i x X ) ) = (4 x 2) x X = X- Ask the students to find the following products: Have three students come to the board to show the renaming that leads to the answer. Point out to the students that the numerator of their answer comes from the numerator of the two fractions they are multiplying since they are collecting numerators i n their renaming tasks just as they are collecting 1 denominators i n terms of the fractions _. x —r a /_ 172 ** Here the student w i l l learn how to find products of fractions and mixed 3: numbers such as -? x J j or f x 4 £ Je NOW THAT WE KNOW HOW TO FIND PRODUCTS LIKE ^ x 2 f WE ARE READY TO FIND PRODUCTS LIKE 3 x «2j . AND i 4 4 x -h , $ 4 SUPPOSE I WANT TO FIND THE ANSWER TO : | * xi I CAN WRITE THIS AS: |*(2 i ) + J + = 5 x 2 NOTICE THAT I AM SPLITTING THE MIXED NUMBER HERE JUST AS I DID WHEN I WAS FINDING THE PRODUCTS OF WHOLE NUMBERS AND MIXED NUMBERS . THEN I CAN FIND THE PRODUCTS OF THE INDIVIDUAL PARTS AND TOTAL THEM. THE FIRST PRODUCT IS x 2 = ^ WHICH I CAN VERIFY BY RENAMING. THE SECOND PRODUCT I CAN FIND IS i x X 4 VERIFY BY RENAMING. = J. WHICH I CAN fX- 3 THEREFORE, I CAN TOTAL UP TO GET THE PRODUCT FIND THAT | x ^3 = + Jl $L X £ AND I • WE WILL LEAVE OUR ANSWERS IN THIS FORM SINCE WE HAVE NOT BEEN TOO CONCERNED ABOUT REDUCING FRACTIONS OR COMBINING THEM FROM SEPARATE ANSWERS. LET'S FIND USING THIS METHOD: I CAN RENAME THIS AS; 33 THEN, SINCE f x 3 = 5 £ 5 x 3 f x J 1 "T 3 + i x X 5 3 r O x j- 173 )x3 = (4x3) x J 1 2 i f x -5" AND SINCE: ± 5 _ x 2 (4 x ^ ) x (1 x = (4 x 1) x ( X ^ ) ) J3" 4f SO THE TOTAL PRODUCT ISi _1 33 Ask the students to find these products: 3 5 T 7 x J 5 x i-Z i x 7 3 Ask four students to come to the board and use a renaming argument to explain their answers. Suggest strongly that they do their breaking up of the mixed number into a whole piece and a proper fractional piece as was suggested here. Suggested end of day 5. 174 Changing a Fraction to a Decimal Outline for approach p: WE ARE GOING TO LEARN A MffiHOD FOR WRITING FRACTIONS IN A NEW WAY, T BUT TO DO THIS, WE MUST FIRST DO SOME REVIEWING ABOUT FRACTIONS AND WE MUST LEARN THIS NEW SYSTEM OF WRITING NUMBERS-AS DECIMALS. Go over items 1-5 on the pretest. In particular, have students realize that the name of the shaded region in a figure depends on the numberof parts of the same size into which the figure is drawn and the number of these parts that are shaded. For each question, read the question and ask for the correct answer. This review should go quickly, particularly since the students worked with fractions i n the previous unit. SUPPOSE I WANT TO FIND THE SIZE OF EACH GROUP OF OBJECTS WHICH RESULTS FROM SHARING AN ORIGINAL GROUP AMONG 3 PEOPLE FAIRLY. WHAT OPERATION DO I PERFORM? Expect the answer: division. LET'S SEE. I WANT TO PUT, SAY, 2? MARBLES INTO 3 PILES, SO THAT EACH OF 3 BOYS GETS THE SAME NUMBER OF MARBLES. HOW MANY DOES EACH BOY GET? Expect the answer 9. EACH BOY GETS 9 SINCE I CAN KEEP GIVING EACH BOY 1 AT A TIME UNTIL I USE UP ALL THE MARBLES. AFTER GIVING EACH BOY 1, I HAVE USED UP 3 AND HAVE 24 LEFT. THEN I COULD GIVE EACH ANOTHER, USING s 175 if 1 — —— 7 UP ANOTHER 3 AND LEAVING ONLY 21. I COULD KEEP GOING AND COUNT AT THE END. ANOTHER WAY WOULD BE TO GIVE EACH BOY, SAY, 3 , USING UP 9 , AND LEAVING ONLY 18. THEN I MIGHT GIVE EACH BOY 5 . USING UP 15 MORE FOR A TOTAL OF 24, LEAVING ONLY 3 MORE. EACH BOY GETS 1 MORE SO THAT HE GETS A TOTAL OF 9 . LET'S WRITE THESE TWO METHODS OUT: 3 5~27 __ 1 _ 1 24 21 _18 li. 3 J 27 _18 ii 3 __3 0 3 5 1 9 ••• 9~ SO THERE ARE MANY WAYS TO SOLVE THIS QUESTION, BUT THE OBJECT IS TO DIVIDE 27 BY 3 TO SEE HOW MANY OBJECTS EACH BOY GETS. I CAN ALWAYS USE DIVISION TO FIND THE ANSWER TO A PROBLEM INVOLVING SHARING OBJECTS EVENLY AMONG A CERTAIN GROUP OF PEOPLE. Go over items 6-10 on the pretest. Read . each item, and have a student answer i t . Show how the division idea i s involved i n each. To remind students of the division algorithm for the wholes, give them the problem 2639"^" 13. Note that to find the solution, they must keep taking chunks of 13's out of 2639 until they can find the size of each of the 13 groups i n 2639. SPEAKING OF DIVISION, SUPPOSE I WANT TO SOLVE HOW DO I BEGIN? 2639"r 13? I SET UP THE QUESTION, LIKE SO: 176 13 ) 2639 AND I KEEP TAKING CHUNKS OUT OF 2639 TO FILL UP MI 13 PILES AND COUNT THE TOTAL NUMBER IN EACH OF THESE PILES AT THE END. I CAN TAKE OUT 13 GROUPS OF SIZE 200 FIRST, LEAVING 39 OBJECTS. 13)2639 2600 39 3? 0 200 3 203 THEN I CAN PUT 3 MORE OBJECTS IN EACH PILE TO USE THEM ALL UP, SO, 2639 -r 13 = 203. I MIGHT HAVE SOLVED THIS MANI OTHER WAIS: FOR INSTANCE, I MIGHT HAVE TAKEN OUT 100 AND THEN ANOTHER 100 AND THEN 3 . Allow the students to solve these two division questions and have two students show their results to the class: 9/288 AND 20 J 4300 ** Here the student w i l l learn some of the features of the decimal system.** AS WE SAID BEFORE, WE ARE GOING TO WRITE FRACTIONS IN A NEW WAI. THESE NEW SYMBOLS WILL BE CALLED DECIMALS, SO WE WILL LEARN SOMETHING ABOUT THE SISTEM OF DECIMALS. LET'S REVIEW PLACE VALUE FOR THE WHOLE NUMBERS. WE READ 3^5 AS "THREE HUNDREDS AND FORTI-FIVE" BECAUSE OF THE SYSTEM WE HAVE FOR WRITING NUMBERS. WE CAN TELL BY HOW THE NUMBER IS WRITTEN WHETHER THE 3 STANDS FOR 3 HUNDREDS OR 3 TENS OR 3 ONES. NOTICE THAT FOR EACH PLACE, THE VALUE OF THE PLACE TO THE RIGHT IS -j£ THE VALUE OF THE PLACE TO THE LEFT. FOR EXAMPLE, 1 IS 177 7£ OF 10, 10 IS -L OF 100, 100 IS £ OF 1000. SO IT SEEMS REASONABLE THAT THERE SHOULD BE A PLACE TO THE RIGHT OF THE ONES SO THAT THE VALUE OF THE PLACE IS to OF 1, NAMELY 75 . SURELY, ji, IS To OF 1; THAT'S WHAT WE MEAN BY jo . SO SUPPOSE I START WITH THE NUMBER 463 16 . IN MY NEW SYSTEM, I WOULD LIKE TO WRITE THIS WITHOUT ANY FRACTIONS. IF I WRITE IT AS 463 6, I NEED A MARKER TO TELL ME THE DIFFERENCE BETWEEN THIS NUMBER AND THE NUMBER "FOUR THOUSAND SIX HUNDRED THIRTY-SIX". THIS MARKER, CALLED THE DECIMAL POINT, APPEARS BETWEEN THE ONES COLUMN AND THE TENTHS COLUMN. THEREFORE, I WRITE THIS NUMBER AS 463.6 . HOW WOULD YOU WRITE 45^ AS A DECIMAL? Expect the answer: 45.2 Have the students write decimals for each of the following. Ask a student to read each of his decimal equivalents. J 27 75 376 75 NOTICE THAT IF I HAVE A WHOLE NUMBER, I CAN ALSO WRITE THIS AS A DECIMAL. FOR EXAMPLE, I CAN WRITE THE WHOLE NUMBER 4 = 4+.?AS 4.0 . HOW MIGHT I WRITE 82 AS A DECIMAL? Expect the answer: 82.0 . NOW JUST AS WE CAN WRITE A DECIMAL FOR A MIXED NUMBER OR FRACTION, ME MIGHT START WITH A DECIMAL AND TRY TO FIGURE OUT ITS FRACTIONAL 178 OR MIXED NUMBER EQUIVALENT. SUPPOSE WE START WITH THE DECIMAL 42.9 . HOW COULD WE WRITE THIS IN FRACTIONAL FORM? Expect the answer: 42 ^ . ONE POSSIBLE ANSWER IS AS: 42 f . SURELY THIS IS JUST WHAT WE 0 HAVE BEEN DISCUSSING. BUT OTHER POSSIBILITIES ALSO EXIST. JUST AS 428 CAN BE READ EITHER AS " FOUR HUNDRED TWENTY EIGHT ONES" OR "FORTY-TWO TENS AND EIGHT ONES", WE MIGHT SUSPECT THAT 42.8 CAN BE READ IN SEVERAL WAYS. ONE WAY IS 42 ONES AND 8 TENTHS, AS YOU SUGGESTED. BUT ANOTHER MIGHT BE 428 TENTHS. LET'S SEE IF THIS MAKES SENSE. SUPPOSE I HAVE 42 ONES. EACH 1 IS HOW MANY TENTHS? Expect the answer: 10 tenths. WE CAN DRAW A DIAGRAM TO SEE THIS. 1-- THEN, IF EACH 1 IS ^ ,42 ONES = 42 x 1 = 42 x (10 TENTHS) = 420 TENTHS = 4%) /O FOR EXAMPLE, 2 = 2 x 1 = 20 TENTHS = & 10 THEN SINCE I HAD 42.8, I HAVE 42£> ^ ~IO+' to LET'S READ SOME OTHER DECIMALS SEVERAL WAYS. fb = 428 TENTHS. 179 HOW MIGHT I READ Expect the answer: 3 j 0 3.5 ? or ^ . ONE WAI IS AS THE MIXED NUMBER 3^ ; ANOTHER SHOULD BE 35 TENTHS SINCE EACH WHOLE IS 10 TENTHS, THEN 3 ONES = 3 x (10 TENTHS) = 30 TENTHS AND 30 TENTHS + 5 TENTHS = 3 5 TENTHS. IREAD EACH OF THESE IN TWO WAYS: 36.9 1.5 28.4 Ask a few students to read each of these- once as a mixed number and once as an improper fraction. Suggested end of day 1 . NOW THAT WE HAVE CONSIDERED THE POSSIBILITY OF A TENTHS PLACE, WE OUGHT'; TO CONSIDER WHAT OTHER COLUMNS WE MIGHT HAVE EVEN FURTHER TO THE RIGHT. JSUT AS 1 = 10 x y 0 , WE MUST FIND A 'PLACE VALUE' TO THE RIGHT SO THAT lOx THAT VALUE = Jo WHAT NUMBER CAN I MULTIPLY BY 10 TO GET Expect the answer: J^ Q ? 180 SIMILARLY, THE NEXT PLACE TO THE RIGHT WOULD BE THE THOUSANDTHS SINCE ^ = 10 x J&o 0 . THEREFORE, THE DECIMAL 45.82 WOULD BE READ AS "FORTY-FIVE ONES, 8 TENTHS, AND 2 HUNDREDTHS." HOWEVER, AS BEFORE, WE CAN FIND SEVERAL OTHER WAYS OF READING THIS DECIMAL. FOR EXAMPLE, I MIGHT READ THIS AS "FORTY-FIVE ONES AND EIGHTY-TWO HUNDREDTHS." LET'S SEE IF THIS MAKES SENSE: 45.82 MEANS FORTY-FIVE ONES AND EIGHT TENTHS AND TWO HUNDREDTHS. BUT WE KNOW THAT -~ = %Q . THAT IS HOW WE KNEW THAT THE HUNDREDTHS COLUMN APPEARED TO THE RIGHT OF THE TENTHS. SO, ?0 /O = 9X 10 _ £2 + /OO = 8 X / 0 ° / 0 = 80 HUNDREDTHS AND SO AND WE CAN READ THE ANSWER AS FORTY-FIVE ° ONES AND EIGHTY-TWO HUNDREDTHS. ANOTHER POSSIBLE WAY TO READ THE DECIMAL 45.82 WOULD BE "FOR THOUSAND FIVE HUNDRED EIGHTY TWO HUNDREDTHS"- 4s? /CO WE KNOW THAT 45.8 CAN BE READ AS 7 5 AND SINCE EACH TENTH IS TEN HUNDREDTHS, WE KNOW THAT 10 ~ '—TOO ~ AND THAT 45.82 = 4§_L° + /OO 1 0 0 A /oo = HOW COULD YOU READ IOO 3.78? Expect the answer: either "3 ones and 7 tenths and 8 hundredths" or "3 ones and 78 hundredths" or "378 hundredths". NOTICE THAT WE CAN DRAW DIAGRAMS TO ILLUSTRATE EACH OF THESE READINGS: y/yyyyyyA 181 Have the students read each of the following decimals f i r s t as mixed numbers and then as hundredths. Have students read out their answers. NOW SUPPOSE WE WANT TO WRITE SOME MIXED NUMBERS OR FRACTIONS AS DECIMALS; WE MIGHT WISH, FOR EXAMPLE, TO WRITE 13 %> AS A DECI- MAL. WHAT WOULD IT BE? Expect the answer: 13.81 . WRITE EACH OF THE FOLLOWING AS A DECIMAL: 6 28 Too & Have the students who read out their answers explain i n terms, of either a diagram or an explanation of their renaming . SIMILARLY, I MIGHT READ AND WRITE DECIMALS INTO THE THOUSANDTHS. HOW WOULD I READ 34.529? Expect the answers: 34 ones and 5 tenths and 2 hundredths and 9 thousandths, or 3^ ones and 529 thousandths, or 34,529 thousandths. answers come up, mention the ones that did not. If not a l l these Point out the analogy to the hundredths situation. IN PARTICULAR, I CAN REWRITE A WHOLE NUMBER. SAY 4. AS TENTHS OR 182 HUNDREDTHS OR THOUSANDTHS. THAT IS, 4 = 4.0 = 4.00 = 4.000, SO 4 CAN BE READ AS 4, 40 TENTHS, 400 HUNDREDHTS, OR 4000 , THOUSANDTHS. {_ Hand students worksheet 1 to complete. ** Here the students w i l l be introduced to the idea of dividing decimals by wholes.** —.—.—.—.—— ——-—• — _ — — — SUPPOSE WE WOULD LIKE TO FIND THE ANSWER TO 1.54-3? WE KNOW THAT 15r- 3 MEANS TO SEPARATE 15 INTO 3 GROUPS OF THE SAME SIZE AND THEN FIND THE SIZE OF EACH OF THESE GROUPS. oo oo oo ooo ooo ooo THIS DIAGRAM WOULD SHOW WHAT WE MEAN: WELL, WE SHOULD MEAN A SIMILAR THING BY 1 . 5 ~ 3 . WE SHOULD SEPARATE 1 . 5 INTO 3 GROUPS SO THAT EACH HAS THE SAME SIZE AND OUR ANSWER IS THE ANSWER TO 1 . 5 X 3 . If WE ALREADY KNOW THAT 1 . 5 CAN BE READ AS To OR 15 TENTHS. SO TO DIVIDE 15 TENTHS BY 3 , I MERELY PUT THE 15 TENTHS INTO 3 GROUPS AND FIND THE SIZE OF EACH GROUP. I CAN DRAW: tenth tenth tenth tenth tenth tenth tenth tenth tenth tenth tenth tenth tenth tenth tenth NOTICE THAT THIS WAS THE SAME AS PUTTING 15 OBJECTS OF ANY SORT INTO 3 GROUPS AND THEN REMEMBERING THE TYPE OF OBJECT BEING DEALT WITH. THAT IS, THE ANSWER WAS (15^~3) TENTHS. 183 LET'S FIND 1.6T4. WHAT DO YOU EXPECT THE ANSWER TO BE? Expect the answer: 4 tenths or .4 . LET'S DRAW A PICTURE. 1.6 = = 16 TENTHS. THEN, TO PUT 16 TENTHS INTO 4 GROUPS, I DRAW: tenth tenth tenth tenth tenth tenth tenthj tenth tenth tenth tenth tenth tenth tenth tenth tenth AND WE SEE THAT INDEED I HAVE 4 TENTHS = .4 IN EACH OF THE GROUPS. Have the students find the answers to: 4.5 T9 5.6 f 8 4.8 r 6 Ask students to read out their answers. If there i s any difficulty with any of these, draw a diagram as was done for 1.6 ~4 to illustrate. Suggested end of day 2. WHAT WOULD WE DO IF WE WERE TRYING TO FIND 1.254-5? THAT MEANS THAT I WANT TO DIVIDE 125 HUNDREDTHS INTO 5 GROUPS AND FIND THE SIZE OF EACH GROUP. I CAN BEGIN A DRAWING LIKE SO: hundredth hundredEh" hundredth hundredth hundredth" h_undredth hundred tl 1 hundredth hundredth hundredth NOTICE THAT WHAT I AM REALLY DOING IS DIVIDING 125 BY 5 AND THEN REMEMBERING THAT I AM DEALING WITH HUNDREDTHS. 184 Ask the students to find answers to: .25-^- 5 1.25-f 25 2.00-^- 4 Have three students explain their answers, If there i s any difficulty, draw diagrams as indicated above. NOW WE CAN WRITE THIS SCHEME IN A WAY THAT WE USUALLY USE TO WRITE DIVISION QUESTIONS. FOR EXAMPLE, TO FIND 4.2 4-6, I WRITE: 6 J~4j2 - > 6 J 4 2 TENTHS AND TO FIND THE ANSWER; I WRITE: 6 F42 TENTHS^ 42 TENTHS 0 TENTHS 7 TENTHS 7 TENTHS = .7 HOW COULD I WRITE OUT THIS QUESTION: 4 . 5 ^ 9 ? I MIGHT WRITE: 9 ) 4 . 5 —? 9 )45 TENTHS 45 TENTHS 0 TENTHS HOW COULD WE WRITE .36 .36V 6? 5 TENTHS 5 TENTHS = .5 WE WRITE: 6) 36 HUNDREDTHS 36 HUNDREDTHS 0 HUNDREDTHS 6 HUNDREDTHS 6 HUNDREDTHS = .06 Hand students worksheet 2 to complete. ** Here the student w i l l now leave decimals for a while to discover that another interpretation for a fraction i s division. ~ 4-7-3. That i s , This w i l l t i e i n to decimals when he discovers that 185 -£ = 1-rZ, and so to get the decimal for j; , he divides 2 into 1. ** NOW AS WE SAID BEFORE, THE WHOLE IDEA OF INTRODUCING DECIMALS WAS TO EVENTUALLY SHOW YOU A WAY TO WRITE FRACTIONS A3 DECIMALS . BUT WE HAVE FORGOTffiB ALL ABOUT FRACTIONS. LET US RETURN TO THIS SUBJECT TEMPORARILY. SUPPOSE I HAVE THE FRACTION . LET US SEE WHAT WHOLE NUMBER THIS IS ANOTHER NAME FOR. DO YOU KNOW ALREADY? Expect the answer 3« In any case, go on with the following discussion. ^ TELLS ME THAT I HAVE TWELVE PIECES EACH OF SIZE ~y . ONE WAY TO FIND THE NUMBER OF WHOLES THERE ARE IN (j IS TO COLLECT FOURTHS INTO WHOLES UNTIL I HAVE USED ALL 12 PIECES. I COULD DRAW: 6^ 6^ qt7 AND SO I SEE THAT LET'S DO THE SAME WITH 7 . WHAT SHOULD I DRAW AND WHAT WHOLE NUMBER DO I GET AS EQUAL 10 ^ ? 7 Expect the answer 6 with the drawing: If they do not draw this diagram, you draw i t for them. NOTICE THAT $ = 6. . WHAT IS THE WHOLE NUMBER FOR -f ? NOW WE CAN DO THE SAME FOR I* 186 Expect the answer: 3* Draw: MY DRAWING INDICATES THAT 3 IS THE CORRECT ANSWER. NOTICE THAT EACH TIME I WAS FINDING HOW MANY GROUPS OF THE DENOMINATOR THERE WERE IN THE NUMERATOR (GROUPS OF 4 IN 12, GROUPS OF 7 IN 42, AND GROUPS OF 6 IN 18). WE ALREADY KNOW THAT FINDING THE NUMBER OF GROUPS OF ONE NUMBER IN ANOTHER IS THE SAME AS DIVIDING THAT SECOND NUMBER BY THE FIRST. BUT FINDING THE NUMBER OF GROUPS OF ONE NUMBER IN ANOTHER (LIKE THE NUMBER OF FOURS IN TWELVE) IS THE SAME AS FINDING THE SIZE OF EACH OF THAT NUMBER OF GROUPS IN THE SECOND NUMBER(LIKE THE SIZE OF EACH OF FOUR GROUPS OF TWELVE OBJECTS TOTAL). FOR EXAMPLE, TO SHOW 12 f 4 , I MIGHT DRAW: IN EITHER CASE, I GET THE SAME ANSWER, NAMELY 3. SO SINCE WAS FOUND BY FINDING THE NUMBER OF GROUPS OF 4 IN 12, OR DIVIDING 12 BY 4, I COULD ALSO FIND £• BY FINDING THE SIZE 187 OF EACH OF 4 GROUPS OF EQUAL SIZE TO SHARE ALL 12 OBJECTS. LET'S CHECK TO SEE IF FINDING IS- BY DIVIDING 42 BY 7 TO FIND THE NUMBER OF SEVENS IN FORTY-TWO IS THE SAME AS FINDING THE SIZE OF EACH OF SEVEN EQUAL GROUPS INTO WHICH 42 OBJECTS ARE DIVIDED. I CAN DRAW (TO SHOW HOW MANY 7*S IN 42): O© 0© ©@© ©0© G 0© © ©0 ©© ©© I CAN DRAW THE DIAGRAM HERE TO SHOW THE SIZE OF EACH OF THE 7 EQUAL GROUPS INTO WHICH 42 OBJECTS CAN BE DIVIDED. ©OO ©0© ©OO ©0© ©0© SO, = 42 — 7. 7 SIMILARLY, '-I = 3 = 18 ~ 6 SINCE I WAS FINDING THE NUMBER OF 6'S IN 18, WHICH IS THE SAME AS FINDING THE SIZE OF EACH OF 6 EQUAL GROUPS AMONG WHICH 18 OBJECTS CAN BE DIVIDED. FOR EACH OF THESE FRACTIONS, GIVE A DIVISION SENTENCE THAT WOULD GET A WHOLE NUMBER NAME FOR THE FRACTION: _ % IS 3 >± 7- &sk^3&kkudenfcsoto_read out their answers and then diagrammatically explain them. Suggested end of day 3. 188 ** Here the student w i l l learn that another name for a fraction can always be found by dividing the numerator by the denominator, even when the division i s not even. ** NOW WE HAVE SEEN THAT FOR SOME FRACTIONS, ANOTHER WAY OF FINDING A NAME FOR THE FRACTION IS TO DIVIDE THE DENOMINATOR INTO THE NUMERATOR. WE WOULD LIKE TO FIND OUT IF THIS IS ALWAYS TRUE. SUPPOSE WE START WITH -j . IF OUR RULE WORKS, j f THE SAME AS l l - f 5: SHOULD BE THAT IS, IF I TAKE 11 OBJECTS AND PUT THEM IN 5 EQUAL GROUPS, THE SIZE OF EACH GROUP SHOULD BE 11 f 5, OR J . SUPPOSE WE TAKE 11 OBJECTS, SAY, 11 CIRCLES. I WANT TO PUT THEM IN 5 GROUPS. WE CAN SET UP 5 PILES. THEN WE CAN KEEP PUTTING CIRCLES ON THE PILES EVENLY UNTIL ALL THE CIRCLES ARE USED UP. TO BEGIN, LET US PUT ONE CIRCLE ON EACH PILE. THEN I STILL HAVE 6 CIRCLES LEFT. SO I CAN PUT ANOTHER CIRCLE ON EACH PILE AND I HAVE USED UP 5+5 = 10 CIRCLES, AND HAVE ONLY 1 LEFT. SINCE I ONLY HAVE ONE MORE CIRCLE TO PUT ONTO ALL 5 PILES EVENLY, I MUST SPLIT IT UP INTO 5 EQUAL PARTS. THAT MEANS, EACH PART 189 BECOMES £ . SO, ON EACH PILE, I CAN PUT %5 CIRCLES. / / SO, 1 1 T 5 = 2 3" , BUT 2 5 IS ANOTHER NAME FOR SINCE I CAN SPLIT EACH ONE WHOLE CIRCLE INTO 5 PARTS BEFORE I COUNT UP THE TOTAL SIZE OF EACH PILE, AND I SEE THAT EACH PILE HAS I U 1 +J = -f ON IT. +4r i =S & 3 Q LET'S TRY THE SAME IDEA WITH -T • & I F 0 U R R U L E ^ WORKS, WE SHOULD EXPECT THAT IF WE PUT 8 CIRCLES ONTO 3 EQUAL PILES, EACH PILE f WILL BE OF SIZE y . I CAN START WITH PUTTING 2 OBJECTS ON EACH PILE, AND I HAVE o o o o o o USED UP 6 AND HAVE 2 LEFT. THEN, I CAN CUT EACH OF THE REMAINING TWO CIRCLES INTO THIRDS AND SEPARATELY SPLIT EACH OF THEM UP AND PUT THEM EVENLY ON O'.S oo oo THE PILES, LIKE SO: AND THEN _ _ OO' ' OO OO' 8® 8® 8® 190 THEN I COUNT UP AND SEE THAT ON EACH PILE, I HAVE CIRCISS. 8T 3= 2~3 BUT I CAN THEN SPLIT EACH WHOLE INTO 3 PIECES, AND _ + 4- RENAME MY GROUPS AS BEING OF SIZE CAN ANYONE SHOW ME WHY THEY THINK + - 4?= ~ 3 1, 3 ' ^ = 5 - f 4? Expect someone to draw k piles and try to s p l i t 5 objects evenly among them, like so; If no one does this, you draw the diagram. JNotice that each group has 1 f = 4> L + "9 CAN ANYONE TELL ME WHY THEY THINK S ~ *f as i t s size. i =3 I CAN DRAW 4- PILES AND TRY TO PUT MY CIRCLES EVENLY ON THEM. BUT SINCE I ONLY HAVE 3 CIRCLES, I CAN'T EVEN PUT A WHOLE ONE ON EACH PILE. WHAT I CAN DO IS SPLIT EACH OF THE THREE WHOLES INTO FOURTHS AND PUT ONE FOURTH OF EACH ON EACH OF THE 4 PILES, LIKE SO: & f 3 _ W V „ Cg kv £ ^ 0 OBVIOUSLY, THE SIZE OF EACH PILE IS Hand students worksheet 3 to complete. Suggested end of day 4. 4 1 I 191 ** Here the student w i l l f i n a l l y tie together his work on decimals and fractions to find the decimal equivalent to a fraction. ** NOW THAT WE KNOW HOW TO REWRITE A FRACTION AS A D1V1-1UN yUUSTlUN, WE CAN PROCEED TO TIE TOGETHER SOME OF OUR DECIMAL IDEAS WITH THIS ONE. LET'S LOOK AT A DIAGRAM LIKE SO: © © © © 0 0 0 0 0 0 0 0 . WE KNOW -X = 4 — 10 BY DRAWING ©00© © ©00 O 0 0 0 0 © ©0 ©©© 0 0 © 0©© O © © ON .THE OTHER HAND, WE ALSO KNOW THAT ^ CAN BE WRITTEN AS A DECIMAL AS .4 . IT WOULD BE INTERESTING TO BE ABLE TO SHOW DIRECTLY THAT 4 T 1 0 = .4 . WELL, 4 T 10 CAN BE WRITTEN 10 ) 4 . BUT IF I TRY TO DO THIS DIVISION, I ONLY GET AN ANSWER OF 0 WITH REMAINDER 4, WHICH DOES NOT HELP ME MUCH. SO I MIGHT TRY TO RENAME 4 = 4.0 = ^ = 40 TENTHS. THEN, 4-^-10 CAN BE WRITTEN: 10 J~4~ -> 10 ) 4.0 -> 10 ) 40 TENTHS \ 40 TENTHS 4 TENTHS 0 TENTHS 4 TENTHS = .4 WE HAVE DIRECTLY CONVERTED, THEN, MTO A DECIMAL BY USING DIVISION. LET US TRY CONVERTING •£ TO A DECIMAL. WE KNOW THAT OUR RESULT to SHOULD BE .6 . BUT WE CAN TRY TO FIND THIS THROUGH DIVISION: 192 10 JSTo 10 J o ^ -5> 10 j 60 TENTHS 60 TENTHS 0 TENTHS 6 TENTHS 6 TENTHS = .6 WE SHOULD NOW TRY TO FIND DECIMALS WE MIGHT NOT ALREADY KNOW. / SUPPOSE WE WANT THE DECIMAL FOR ~£ -~ = 1-r 2 2, . SO WE WRITE: J*T 2 J 1.0 SO THE DECIMAL FOR •£ = THIS MAKES SENSE SINCE ~3 .5 .5 2 J~10 TENTHS") 10 TENTHS/ 0 TENTHS} = -£ = -7 . . ONLY BECAUSE I WOULD NOT GET ANYWHERE BY DIVIDING 1 BY 2 IN THAT FORM. REMAINDER .5 . NOTICE THAT I CONVERTED THE 1 INTO 1.0 GOTTEN 0, 5 TENTHS 5 TENTHS = I WOULD ONLY HAVE 1. 3 NOW LET US TRY ANOTHER FRACTION. SUPPOSE WE START W I T H ^ AND WE WANT THE DECIMAL FOR T H I S . WE WRITE — 4 Tj SO WE WRITE: =3^4, 4 4 J30 TENTHS 28 TENTHS If TENTHS 2 TENTHS ] ? TENTHS )3.0 SO I GET A REMAINDER WHICH I AM NOT SURE HOW TO HANDLE. POSSIBILITY IS TO CHANGE 3 INTO 3.00 INSTEAD OF 3.0 SEEMS REASONABLE; I CHANGED IT FROM 3 TO 3.0 PROBLEMS OF A REMAINDER, 4 73.00 4 ) . ONE THIS ONLY TO AVOID THE SO I MIGHT TRY TO GO ONE STEP FURTHER, 300 280 20 20 0 HUNDREDTHS/ HUNDREDTHS \ 70 HUNDREDTHS HUNDREDTHS / HUNDREDTHS 5 HUNDREDTHS HUNDREDTHS 75 HUNDREDTHS = .75" 193 SO THE DECIMAL EQUIVALENT FOR -| = .75 WE WILL NOT ALWAYS GET RID OF THE REMAINDER BY STOPPING AT THE TENTHS PLACE OR EVEN THE HUNDREDTHS OR THOUSANDTHS, BUT WE CAN KEEP TRYING PLACES UNTIL WE EITHER STOP OR ARE CONVINCED WE CANNOT STOP GETTING REMAINDERS. LET'S TRY ONE MORE QUESTION WITH HUNDREDTHS TOGETHER. WE CAN GET THE DECIMAL FOR 2-7-25 45 25 J~2 -r> 25 riToo 25 J200 HUNDREDTHS) 200 HUNDREDTHS 8 HUND. 0 HUNDREDTHS] 8 HUND. = SO, .08 ^5 = .08 Hand students worksheet 4 to complete. Suggested end of day 5» .1 194 Changing a Fraction to a Decimal Outline f o r approach P; WE HAVE NOW HAD A LITTLE EXPERIENCE CONVERTING FRACTIONS TO DECIMALS. BUT SO FAR WE HAVE ONLY USED A FEW DENOMINATORS, LIKE HALVES, AND FOURTHS. NOW WE WILL LEARN TO WORK WITH OTHER DENOMINATORS AS WELL. AGAIN, WE MUST DO A BIT OF REVIEWING-FIRST. 3 WHAT DO WE MEAN BY THE FRACTION y ? WHAT DOES THE NUMERATOR^, TELL US? Expect the answer: the number of sevenths we are considering. WHAT DOES THE DENOMINATOR, 7, TELL US? i, Expect the answer: the whole was divided i n t o 7 equal parts. TO DRAW THIS, WE MIGHT DRAW SOMETHING LIKE: WHAT DIAGRAM WOULD YOU DRAW TO SHOW ^ < ? 0 Have one student come to the board to draw his diagram. / cedure with j j and — Repeat this pro- . | - < BECAUSE WE HAVE ALREADY LEARNED THAT IN CHANGING FRACTIONS TO EQUIVALENT DECIMALS, DIVISION IS INVOLVED, LET US QUICKLY GO OVER SOME IDEAS ABOUT DIVISION. SUPPOSE I HAD A PROBLEM WHERE I EANTED TO DIVIDE 81 PEANUTS AMONG 9 PEOPLE. NOTICE THAT I WOULD USE DIVISION TO SOLVE THIS PROBLEM 195 AND WOULD SAY THAT IF I WANT TO SPLIT 81 PEANUTS INTO 9 EQUAL GROUPS, EACH PERSON WOULD GET 81T 9 = 9 PEANUTS. HOW WOULD I SOLVE THE PROBLEM OF SPLITTING 56 CANDIES EVENLY J AMONG 8 PEOPLE? Expect the answer: divide 56 by 8. WHAT WOULD YOU DO TO SOLVE EACH OF THESE: TO SPLIT 72 CANDIES AMONG 9 CHILDREN TO SPLIT 18 PENCILS AMONG 6 CHILDREN TO SPLIT 15 OBJECTS INTO 3 EVEN PILES Have three students read out t h e i r answers to each of these. Make sure that the students are aware that d i v i s i o n solves the type of problem which requires even grouping of a number of objects. a. ** Here the student w i l l review the idea that ~£ = a •— b using examples 2 , 4 , 5 , 1 0 , 2 0 , or 5 0 . * * with denominators other than WE HAVE ALREADY SEEN THAT FOR SOME FRACTIONS, ANOTHER WAY OF FINDING A NAME FOR THE FRACTION IS TO DIVIDE THE DENOMINATOR INTO THE NUMERATOR. LET'S SEE IF THIS SAME RULE CAN BE APPLIED TO THE FRACTIONS I AM ABOUT TO PRESENT AND LET'S REVIEW WHY THIS RULE HOLDS. SUPPOSE I HAVE THE FRACTION j BE THE SAME AS . IF THE RULE WORKS, SHOULD 7 4 3. SUPPOSE WE LOOK AT 7~3. 7^3 TELLS ME THAT I SHOULD TRY TO DIVIDE 7 OBJECTS INTO 3 EQUAL GROUPS AND FIND THE SIZE OF 196 EACH GROUP. WE WANT THAT SIZE TO WORK OUT TO BE JJ LET US SET UP 3 PILES TO REPRESENT OUR 3 GROUPS AND DISTRIBUTE 7 CIRCLES EVENLY ON THESE 3 PILES. I START BY PUTTING ONE CIRCLE ON EACH PILE, USING 3 AND LEAVING 4. THEN, I CAN PUT ONE MORE CIRCLE ON EACH PILE, USING UP 3 MORE o o o o AND NOW LEAVING ONLY ONE CIRCLE. Q O BUT TO PUT THE SAME AMOUNT ON ALL 3 PILES, I MUST SPLIT THE ONE CIRCLE THAT IS LEFT INTO 3 EQUAL PARTS. EACH PART IS WHAT PART OF THE CIRCLE? Expect the answer: j f T MORE CIRCLE ON EACH PILE AND COUNT UP THE SIZE THEN I PUT J o o OF EACH PILE. oNOTICE, THEN, THAT 7-3= 2 , BUT IF I WANT TO EXPRESS THIS ANSWER AS AN IMPROPER FRACTION RATHER THAN AMIXED NUMBER, I CAN SPLIT UP EACH CIRCLE ON EACH PILE INTO THIRDS AND COUNT THE SIZE TOTALLY IN THIRDS. © © 197 AND I SEE THAT 7 ^ 3 = J + j + J = 3 • L E T ' S USE THIS SAME APPROACH TO SOLVE THE PROBLEM OF WHETHER q \ = 9r6. I F I WANT TO FIND THE SOLUTION TO 9T~6, I DIS- TRIBUTE 9 CIRCLES EVENLY ON 6 PILES AND FIND THE SIZE OF EACH OF THESE P I L E S . THIS SIZE = I SET UP 6 P I L E S . 9^6. I CAN PUT 1 CIRCLE ON EACH PILE, USING UP 6, LEAVING 3 . O O O O O O THEN I CANNOT PUT ANOTHER WHOLE CIRCLE ON EACH P I L E , SINCE ONLY HAVE 3 LEFT AND NEED 6 TO PUT ONE ON EACH P I L E . I BUT WHAT I CAN DO IS TO TAKE EACH OF MY LEFTOVER CIRCLES AND SPLIT I T EVENLY INTO 6 PARTS. THEN I CAN PUT 1 OF EACH OF THESE PARTS o, O ON EACH P I L E , AND SO DO THE SAME FOR EACH OF THE 3 CIRCLES. O O O O i-f' J - e &s {<} NOTICE, THEN, THAT <L< 9-6 = 17; . vj 5v BUT IF I WANT TO EXPRESS THIS ANSWER AS AN IMPROPER FRACTION RATHER THAN A MIXED NUMBER, I CAN SPLIT UP EACH CIRCLE ON EACH PILE INTO SIXTHS AND COUNT THE SIZE TOTALLY IN SIXTHS. CS) +\ AND I SEE THAT ® ® *\ 9 T 6 = ^ + _ - ® ® % % + +\ = \ + <& 198 IT DOES SEEM TO BE TRUE THAT ANY FRACTION CAN BE EXPRESSED AS THE QUOTIENT FROM DIVIDING ITS NUMERATOR BY ITS DENOMINATOR. Suggested end of day 6 . Hand students worksheet 5 to complete, ** Here the student w i l l learn to convert fractions to decimals even when the decimals are non-terminating by approximating to three places. ** SUPPOSE WE NOW TRY TO CONVERT 3 TO FIND THE DECIMAL FOR ANSWER TO 1 ~ 3. J TO A DECIMAL. , WE KNOW THAT WE CAN FIND THE BUT TO FIND THE ANSWER TO 1 -f 3, REMEMBER THAT WE TRIED TO EXPRESS 1 AS A DECIMAL SO THAT WE COULD USE OUR USUAL DIVISION PROCEDURES AND AVOID FRACTIONAL REMAINDERS. SO, WE SAY, 1 = 1 + = 1.0 = 10 TENTHS. IF YOU REMEMBER, 1.0 = 10 TENTHS SINCE WE CAN:DRAW A DIAGRAM LIKE THIS ONE: 10 NOW, TO DIVIDE 10 TENTHS BY 3. WE WRITE: 3 110 TENTHS 9 TENTHS\ 3 TENTHS 1 TENTH ] 3 TENTHS = .3 AND WE SEE THAT WE STILL HAVE A REMAINDER. KNOW NOW THAT J WRITE THIS AS TO I- HOWEVER, WE DO IS SOMEWHERE AROUND 3 TENTHS = . 3 . WE OFTEN 3 ~ .3 . THIS MEANS THAT .3 IS ALMOST EQUAL 199 WHEN THIS SAME THING HAPPENED TO USE WHEN WE WERE TRYING TO FIND THE DECIMAL TO ^ , WE TRIED WRITING 1 = 1 . 0 0 ; THAT IS, WE WENT TO THE HUNDREDTHS PLACE. SO, 1 = 1.00 = 100 HUNDREDTHS (SINCE 10 TENTHS = 10 x 10 HUNDREDTHS) AND WE DIVIDE: 3J100 90 10 9 1 HUNDREDTHS) HUNDREDTHS ) 30 HUNDREDTHS HUNDREDTHS HUNDREDTHS 3 HUNDREDTHS 33 HUNDREDTHS = .33 HUNDREDTH AGAIN, WE HAVE A REMAINDER, BUT NOW WE HAVE A BETTER APPROXIMATION TO J , AND WE WRITE J £ . 3 3 . THIS IS CALLED A TWO-PLACE APPROXIMATION, WHEREAS . 3 WAS CALLED THE ONE-PLACE APPROXIMATION. THIS IS BECAUSE WE HAVE APPROXIMATED THE SECOND PLACE AFTER THE DECIMAL POINT (THE HUNDREDTHS). WELL, SINCE WE STILL HAD A REMAINDER, WE MIGHT TRY WRITING 1 IN YET ANOTHER WAY. WHAT DO YOU SUGGEST? Expect the answer: as 1.000 = 1000 thousandths. LET US TRY WRITING 1 AS 1000 THOUSANDTHS. WE GET: 3 JlT—> 3 JlOOO 900 100 90 10 9 1 THOUSANDTHS THOUSANDTHS THOUSANDTHS THOUSANDTHS THOUSANDTHS THOUSANDTHS THOUSANDTH 300 THOUSANDTHS 30 THOUSANDTHS 3 THOUSANDTHS 333 THOUSANDTHS = .333 AND, AGAIN, WE STILL HAVE A REMAINDER BUT A STILL BETTER APPROXIMATION FOR j- . 200 HERE, WE SEE J £ .333, A THREE-PLACE APPROXIMATION. NOTICE THAT THE FIRST TIME WE DID THE DIVISION, WE FOUND THAT 3 WAS BETWEEN .3 AND .4 SINCE WE HAD .3 WITH A REMAINDER UNDER A TENTH, THE NEXT TIME THAT IT WAS BETWEEN .33 AND .34 SINCE WE HAD .33 WITH A REMAINDER UNDER A HUNDREDTH, AND THIS TIME THAT IT IS BETWEEN .33 AND .334 . DO YOU THINK WE SHOULD TRY TO WRITE 1 = 1.0000 = 10000 TENTHOUSANDTHS? WHAT DO YOU THINK WILL HAPPEN? | Expect the answer: we w i l l get an approximation of .3333, but not an exact answer. Suggest this i f the answer i s not forthcoming. : , SOMETIMES IT TURNS OUT THAT WE NEVER GET AN EXACT DECIMAL ANSWER FOR A FRACTION NAME. FOR EXAMPLE, HERE WITH j$ , WE WILL KEEP GETTING BETTER APPROXIMATIONS- FROM .3 TO .33, FROM .33 TO .333, FROM .333 TO .3333, ETC., BUT NEVER AN EXACT ANSWER. THE ANSWER CANNOT BE FOUND, THEREFORE, AS TENTHS OR HUNDREDTHS OR THOUSANDTHS. ,- Suggested end of day 7. LET US LOOK AT THIS A LITTLE BIT. / TO FIND THE DECIMAL FOR J REMEMBER WHEN WE WERE TRYING S . WE FOUND OUT THAT IT WAS .5 = To , AND WE ALREADY KNEW THAT £ COULD BE WRITTEN IN TENTHS AS WHEN WE FOUND THE DECIMAL FOR . §f , WE FOUND THAT IT WAS .75, OR 75 HUNDREDTHS ( ^ ) AND WE KNOW THAT WE CAN REDUCE ^ 3 JL. TO GET 2? . BUT CAN YOU WRITE 3 AS AN EVEN NUMBER OF TENTHS? AS AN EVEN NUMBER OF HUNDREDTHS? AS AN EVEN NUMBER OF THOUSANDTHS? 201 IT TURNS OUT THAT WE CANNOT, AND THAT IS WHY WE MUST BE ( SATISFIED WITH ONLY AN APPROXIMATE DECIMAL FOR j . NOTICE, HOWEVER, THAT THERE IS A PATTERN TO THE ANSWERS WE GET. WE STARTED WITH .3, THEN GOT .33, THEN .333. IT TURNS OUT THAT EVEN THOUGH WE CANNOT GET AN EXACT DECIMAL, WE CAN ALWAYS FIND A PATTERN. LET'S TRY TO GET SOME OTHER DECIMAL EQUIVALENTS. AND WE CAN DECIDE, IN ADVANCE, THAT EVEN IF WE CANNOT GET AN EXACT ANSWER, WE WILL USUALLY BE HAPPY WITH A 3-PLACE APPROXIMATION. X LET'S GET THE DECIMAL FOR J . WE START BY WRITING 2 = 2.0 = 20 TENTHS. THEN, WE WRITE: 9 )20 TENTHS 18 TENTHS 2 TENTHS 2 TENTHS 2 TENTHS = .2 WE STILL HAVE A REMAINDER, BUT A ONE-PLACE APPROXIMATION FOR LET'S TRY GETTING A TWO-PLACE APPROXIMATION. 9 ) 2.00 9) 200 HUNDREDTHS" 180 HUNDREDTHS) 20 HUNDREDTHS 18 HUNDREDTHS 2 HUNDREDTHS 20 HUNDREDTHS 2 HUNDREDTHS 22 HUNDREDTHS = .22 202 AGAIN, WE DID NOT GET AN EXACT ANSWER, BUT OUR TWO-PLACE 2 APPROXIMATION FOR y IS .22 . THIS TELLS US THAT IS BETWEEN .22 AND .23 . IF WE TRY TO GET THE;THREE-PLACE APPROXIMATION, WHAT DO YOU GUESS IT WILL BE? Expect the answer: .222. WE CAN CHECK: 2000 1800 200 180 20 18 2 THOUSANDTHS ) THOUSANDTHS ( 200 THOUSANDTHS THOUSANDTHS \ THOUSANDTHS 20 THOUSANDTHS THOUSANDTHS 2 THOUSANDTHS THOUSANDTHS / THOUSANDTHS / 222 THOUSANDTHS .222 AND YOU WERE CORRECT. AGAIN, NOTICE THAT THERE WAS A PATTERN, WE GOT .2, THEN .22, THEN .222 . BUT THE PATTERN IS NOT ALWAYS THIS NICE. LET US TRY ANOTHER 3 QUESTION. LET'S FIND THE DECIMAL FOR T T • LET US GO DIRECTLY TO THE 3-PLACE APPROXIMATION. WE CANNOT LOSE ANYTHING BY THIS APPROACH, SINCE WE CAN JUST READ OFF THE 1 AND 2 PLACE APPROXIMATIONS FROM IT. FOR EXAMPLE, THE 3-PLACE APPROXIMATION FOR f = .222 TELLS ME THAT THE ONE-PLACE APPROXIMATION IS .2 AND THE TWO-PLACE IS .22 . NOW TO GET BACK TO -j- . I WANT TO REWRITE 3 = 3.000 = 3000 THOUSANDTHS. 203 THEN, 11 j 3.000 11 J 3000 2200 800 770 30 22 8 THOUSANDTHS THOUSANDTHS THOUSANDTHS THOUSANDTHS THOUSANDTHS THOUSANDTHS THOUSANDTHS 200 THOUSANDTHS 70 THOUSANDTHS 2 THOUSANDTHS 272 THOUSANDTHS = .272 SO I SEE THAT jj & .272 . IT TURNS OUT THAT IF I HAD USED 1 = 1.OOOOINSTEAD OF 1.000, I WOULD HAVE FOUND THAT THE FOUR-PLACE APPROXIMATION IS .2727 . CAN ANYONE GUESS WHAT THE NEXT DIGIT WOULD BE FOR THE FIVEPLACE APPROXIMATION? Expect the answer: 2. ACTUALLY THE PATTERN IS 27 REPEATING. For each of these problems, have the students f i n d the three-place approximation to the fraction's decimal equivalent. Make sure that the students who show their answers also explain why the numerator was converted into thousandths as i t was. -T 204 Changing a Fraction to a Decimal Outline for approach a: WE ARE GOING TO LEARN A METHOD FOR WRITING FRACTIONS IN A NEW WAY, BUT TO DO THIS, WE MUST FIRST DO SOME REVIEWING ABOUT FRACTIONS AND WE MUST LEARN THIS NEW SYSTEM OF WRITING NUMBERS- AS DECIMALS. Go over items 21-25 on the pretest. In particular, have students realize that a fraction can always be written as a multiplication expression. For example, -j? = jT + _T + 2T + ~5 =4xj . For each question on the pretest listed (21-25), read the question and ask for the correct answer. This review should go quickly, particularly since the students worked with fractions i n the previous unit. SUPPOSE I WANT TO FIND THE SOLUTION TO THE PROBLEM 3 x Q =12. I HAVE A MULTIPLICATION SENTENCE TO SOLVE, BUT BECAUSE I AM MISSING ONE OF THE MULTIPLIERS, RATHER THAN THE PRODUCT, THE OPERATION I PERFORM IS DIVISION. HERE I WOULD DIVIDE 12 BY 3, AND MY SOLUTION IS WHAT? Expect the answer: Q = 4. THEREFORE, I CAN TURN ANY MULTIPLICATION STATEMENT INTO A DIVISION STATEMENT AND VICE VERSA. FOR EXAMPLE, HOW DO I TURN THE FOLLOWING INTO A MULTIPLICATION STATEMENT: 12 r Expect the answer: 3 = D • Q x3 = 12. 205 HOW DO I TURN THIS MULTIPLICATION STATEMENT INTO A DIVISION ONE: 3 x D = 27 Expect the answer: 27 f 0 = 3 or 27 -f- 3 = "Q . Go over items 16-20 on the pretest and make sure the students see the relationship between multiplication and division. Read each question and have a student provide the answer. NOTICE THAT IN SOLVING 2?-f 3, I DID NOT REALLY NEED TO GO THROUGH A LONG DIVISION PROCESS, SINCE I QUICKLY KNEW THE ANSWER AS A FACT. BUT SUPPOSE MY QUESTION WERE THE FOLLOWING: 13 x Q = 2639. WHAT WOULD I HAVE TO DO TO SOLVE THIS QUESTION? Expect the answer: divide 2639 by 13. WE CAN ACTUALLY DO THE DIVISION HERE. I BEGIN BY SETTING UP THE QUESTION, LIKE SO: 13 72639" AND I KEEP TAKIND CHUNKS OUT OF 2639 IN GROUPS OF 13 AND COUNT UP THE NUMBER OF CHUNKS OF 13 FINALLY TAKEN OUT TO USE UP THE 2639 ENTIRELY. I CAN TAKE OUT 13 CHUNKS EACH OF SIZE 200 FIRST, LEAVING 39 • THEN I CAN TAKE OUT 3 MORE CHUNKS OF 13 TO USE UP ALL 2639. 13 ) 2639 ) 2600 I 200 39 ) 203 i _ 206 THEREFORE, IF 13 x Q = 2639 , 0 = 203. NOTICE THAT I COULD HAVE USED THIS SAME TECHNIQUE TO SOLVE H x 13 = 2639, SINCE WE KNOW THAT THE ORDER IN WHICH WE MULTIPLY NEVER CHANGES THE ANSWER. Allow the students to solve these two division questions and have two students show their results to the class; 9 J288 AND 20 J 4300 ** Here the student w i l l learn some of the features of the decimal system. ** AS WE SAID BEFORE, WE ARE GOING TO WRITE FRACTIONS IN A NEW WAY, THESE NEW SYMBOLS WILL BE CALLED DECIMALS, SO WE WILL LEARN SOMETHING ABOUT THE SYSTEM OF DECIMALS. LET'S REVIEW PLACE VALUE FOR THE WHOLE NUMBERS. WE READ 3^5 AS " THREE HUNDREDS AND FORTY-FIVE" BECAUSE OF THE SYSTEM WE HAVE FOR WRITING NUMBERS. WE CAN TELL BY HOW THE NUMBER IS WRITTEN WHETHER THE 3 STANDS FOR 3 HUNDREDS OR 3 TENS OR 3 ONES. NOTICE THAT FOR EACH PLACE, THE VALUE OF THE PLACE TO THE RIGHT IS 773 THE VALUE OF THE PLACE TO THE LEFT. FOR EXAMPLE, 1 IS 7. OF 10, SINCE 10 x 1 = 10; 10 IS jo 10 x 10 = 100, 100 IS ~ 0 F 100, SINCE OF 1000, SINCE 10 x 100 = 1000. SO IT SEEMS REASONABLE THAT THERE SHOULD BE A PLACE TO THE RIGHT OF THE ONES SO THAT THE VALUE OF THE PLACE IS - i OF 1, (0 207 NAMELY ^ . j- IS -]- OF 1 SINCE Q 0 10 = 1. SO SUPPOSE I START WITH THE NUMBER 463^ . IN MY NEW SYSTEM, I WOULD LIKE TO WRITE THIS WITHOUT ANY FRACTIONS. IF I WRITE IT AS 463 6, I NEED A MARKER TO TELL ME THE DIFFERENCE BETWEEN THIS NUMBER AND THE NUMBER "FOUR THOUSAND SIX HUNDRED THIRTYSIX". THIS MARKER, CALLED THE DECIMAL POINT, APPEARS BETWEEN THE ONES COLUMN AND THE TENTHS COLUMN; THEREFORE, I WRITE THIS NUMBER AS 463.6 . HOW WOULD YOU WRITE 45^ AS A DECIMAL? Expect the answer: 45.2 . Have the students write decimals for each of the following. Ask a stu- dent to read each of his decimal equivalents. " T 227 10 376 % NOTICE THAT IF I HAVE A WHOLE NUMBER, I CAN ALSO WRITE THIS AS A DECIMAL. FOR EXAMPLE, I CAN WRITE THE WHOLE NUMBER 4 = 4 +-£ /o AS 4.0 . HOW MIGHT I WRITE 82 AS A DECIMAL? Expect the answer: 82.0 . NOW JUST AS WE CAN WRITE A DECIMAL FOR A MIXED NUMBER OR FRACTION, WE MIGHT START WITH A DECIMAL AND TRY TO FIGURE OUT ITS FRACTIONAL OR MIXED NUMBER EQUIVALENT. SUPPOSE WE START WITH THE DECIMAL 42.8 . HOW COULD WE WRITE THIS IN FRACTIONAL FORM? 208 t Expect the answer: 42 JO ONE POSSIBLE ANSWER IS AS: 42 73 . SURELY THIS IS JUST WHAT WE HAVE BEEN DISCUSSING. BUT OTHER POSSIBILITIES ALSO EXIST. JUST AS 428 CAN BE READ EITHER AS "FOUR HUNDRED TWENTY-EIGHT ONES" OR AS "FORTY-TWO TENS AND EIGHT ONES", WE MIGHT SUSPECT THAT 42.8 CAN BE READ IN SEVERAL WYAS. ONE WAY IS AS "FORTYTWO ONES AND EIGHT TENTHS" AS YOU SUGGESTED. BUT ANOTHER MIGHT BE AS "FOUR HUNDRED TWENTY-BIGHT TENTHS". LET'S SEE IF THIS MAKES SENSE: SUPPOSE I HAVE 42 ONES. EACH 1 IS HOW MANY TENTHS? Expect the answer: 10 tenths. WE CAN RENAME 1 = 10 x TO CHECK THIS, THEN, IF EACH 1 IS 10 x J- ,42 ONES = 42 x 1 CAN BE RENAMED: 10 42 x 1 = 42 x (10 x X = (42 x 10) x 0 J. 10 = 420 x X = _ L ° 10 THEN, SINCE I HAD 42.8, I HAVE + = 1__f = 428 TENTHS, LET'S READ SOME OTHER DECIMALS SEVERAL WAYS. HOW MIGHT I READ 3.5? 5- Expect the answer: 3 fo o r 31 /o ONE WAY IS AS THE MIXED NUMBER 3 75 • ANOTHER WOULD BE 35 TENTHS, SINCE I CAN RENAME 3.5 AS 3 ONES + 5 TENTHS. T 209 3 ONES * 3 x 1 = 3 x (io x j- ) 0 = (3 x 10) x X = 30 = 30 TENTHS, x -L 10 THEN, 3 ONES + 5 TENTHS = §0 TENTHS + 5 TENTHS = 35 TENTHS. READ EACH OF THESE IN TWO WAYS: 36.9 1.5 28.4 J Ask a few students to read each of these- once as a mixed number and once as an improper fraction i n tenths. Suggested end of day 1 . NOW THAT WE HAVE CONSIDERED THE POSSIBILITY OF A TENTHS PLACE, WE OUGHT TO CONSIDER WHAT OTHER COLUMNS WE MIGHT HAVE EVEN FURTHER TO THE RIGHT. JUST AS 1 = 10 x PLACE VALUE SO THAT lOx THAT VALUE = /o , WE MUST FIND A . WHAT NUMBER CAN I MULTIPLY BY 10 TO GET ? Expect the answer: J^Q j~0O WILL DO, SINCE 10 x i = ~ /o SIMILARLY, THE NEXT PLACE TO THE RIGHT WOULD BE THOUSANDTHS SINCE JL = ! 0 x -fat THEREFORE, THE DECIMAL . 45.82 WOULD BE READ AS "FORTY-FIVE ONES, EIGHT TENTHS AND TWO HUNDREDTHS". 210 HOWEVER, AS BEFORE, WE CAN FIND SEVERAL OTHER WAYS OF READING THIS DECIMAL. FOR EXAMPLE, I MIGHT READ THIS AS "FORTY-FIVE ONES AND 82 HUNDREDTHS". LET'S SEE IF THIS MAKES SENSE: 45.82 MEANS FORTY-FIVE ONES AND EIGHT TENTHS AND TWO HUNDREDTHS. BUT WE KNOW THAT -jb ~ jdo ' HUNDREDTHS COLUMN APPEARED TO THE RIGHT OF THE TENTHS. ? = =80 HUNDREDTHS SO, -2-io = 8 xtoo-r£r /OO THAT AND Too / 0 ° Tdo I S H0W WE U M THAT THE = 82 HUNDREDTHS. ANOTHER POSSIBLE WAY TO READ THE DECIMAL 45.82 WOULD BE "FOUR THOUSAND FIVE HUNDRED EIGHTY-TWO HUNDREDTHS" = . /CO WE KNOW THAT 45.8 CAN BE READ AS ^ AND SINCE EACH TENTH = JS. /O /OO WE KNOW THAT/t7 *&-~7oo * ^J-° too = , * AND THAT 45.82 = H5?0 + A = ^ f l * . 2 "Too /oo /oo HOW COULD YOU READ 3-78? Expect the answers: either "three ones and seven tenths and eight hundredths" or "three ones and seventy-eight hundredths" or "378 hundredths", NOTICE THAT WE CAN RENAME APPROPRIATELY TO ILLUSTRATE EACH OF THESE READINGS. (a) 3.78 = 3 ONES + 7 TENTHS + 8 HUNDREDTHS (BY DEFINITION) / ( b ) 3.78 = 3 ONES + 7 x (10 x +-L 8 ) too = 3 ONES + (7 x 10) x +X 8 ±_ too + 8 J= 3 ONES +70 x = 3 ONES + 78 x JL X Q X X /OO too = 3 ONES + 78 HUNDREDTHS 211 3.78 = 3 ONES + 78 HUNDREDTHS (c) =3x1 +78 HUNDREDTHS = 3 x ( l O O x i ) + 78 HUNDREDTHS = (3 x 100) x 75o = 300 x Joo + + 78 HUNDREDTHS 78 HUNDREDTHS = 300 HUNDREDTHS + 78 HUNDREDTHS = 378 HUNDREDTHS Have the students read each of the following decimals f i r s t as mixed numbers and then as hundredths. 54.29 36.21 8.09 4.23 Have students read out their answers. If there i s any difficulty, have them rename as a'bovei illustrated; NOW SUPPOSE WE WANT TO WRITESOME MIXED NUMBERS OR FRACTIONS ft AS DECIMALS. WE MIGHT WISH, FOR EXAMPLE, TO WRITE 13 Too AS A DECIMAL. WHAT WOULD IT BE? Expect the answer: 13.81. WRITE EACH OF THE FOLLOWING AS A DECIMAL: "•5 joo 28 J+ Too Have the students who read out their answers explain i n terms of renaming 212 how they got the correct answer. SIMILARLY, I MIGHT READ AND WRITE DECIMALS INTO THE THOUSANDTHS. HOW WOULD I READ 34.529? Expect the answers: 34 ones and 5 tenths and 2 hundredths and 9 thousandths, or 3^ ones and 529 thousandths, or 34,529 thousandths. answers come up, mention the ones that did not. If not a l l these Point out the analogy to the hundredths situation. IN PARTICULAR, I CAN REWRITE A WHOLE NUMBER, SAY 4, AS TENTHS OR HUNDREDTHS OR THOUSANDTHS. THAT IS, 4 = 4.0 = 4.00 = 4.000, SO 4 CAN BE READ AS 4, 40 TENTHS, 400 HUNDREDTHS, OR 4000 THOUSANDTHS. Hand students worksheet 1 to complete. ** Here the students w i l l be introduced to the idea of dividing decimals by wholes.** SUPPOSE WE WOULD LIKE TO FIND THE ANSWER TO 1.5+3. WE KNOW THAT IF 1.5-f 3 = Q , THEN G * 3 = 1.5 . WE HAVE NEVER DONE ANY MULTIPLICATION WITH DECIMALS, SO WE MIGHT SIMPLIFY OUR PROBLEM BY REWRITING 1.5 = I | WE KNOW THAT 1.5 = % = 15 x JQ . FROM OUR PREVIOUS DISCUSSION AND WE I 10 SINCE + /o +/©••• (15 TIMES) THEN I AM LOOKING FOR A NUMBER TO MULTIPLY BY 3 TO GET 15 TENTHS. NOTICE THAT IF I WRITE THIS AS: D x 3 = 15 x_J_ 10 , I MAY HAVE TO REPLACE Q WITH 213 : —— — — A PRODUCE RATHER THAN JUST A SINGLE NUMBER. FOR EXAMPLE, TO SOLVE 3 x 0 = 3 x 5 x 4 , I REPLACE OwiTH 5 x 4 . WE CAN DO THE SAME THING HERE. IF D x 3 = 15 x 1 , WE SEE THAT WE CAN REPLACE 0 BY 5 x ~f • 0 Dx3 = (5x-/-)x3=(5x3)x-4 THEN, SO, (5 x 1 ) x 3 = 5 TENTHS x 3 = = 1 5 x J- = 1.5 . . 5 x 3 = 1.5 • JO NOTICE THAT THIS WAS THE SAME AS FINDING WHAT I HAD TO MULTIPLY 3 BY TO GET 15 AND THEN REMEMBERING TO ^MULTIPLY THAT ANSWER BY 75 . SO THE ANSWER WAS (15 ^ 3) TENTHS. LET'S FIND 1.6-p 4. WHAT DO YOU EXPECT THE ANSWER TO BE? Expect the answer: 4 tenths or .4 . LET'S WRITE A MULTIPLICATION SENTENCE. £ 7 x 4 = 1.6 = 16 TENTHS, 4 x 4 = 16, SO THEREFORE, 4 TENTHS x 4 = 16 TENTHS = 1.6. £7 = 4 TENTHS = .4 . Have the students find answers to: 4.5 T 9 5.6 T 8 4.8 rr 6 Ask students to read out their answers. If there i s any difficulty with any of these, rewrite as multiplication solution. Suggested end of day 2.' sentences to find the 214 WHAT WOULD WE DO IF WE WERE TRYING TO FIND 1.25-f 5? THAT MEANS THAT I WANT TO FIND WHAT NUMBER TO MULTIPLY 5 BY TO GET 125 HUNDREDTHS. SO WHAT I AM REALLY DOING IS SOLVING: Q x 5 = 125 HUNDREDTHS. NOTICE THAT WHAT I AM REALLY DOING IS DIVIDING 125 BY 5 AND THEN REMEMBERING THAT I AM DEIAING WITH HUNDREDTHS. Ask the students to find answers to: .25 f 5 1.25 r 25 2.00 T 4 Have three students explain their answers. If there i s any difficulty, rename as multiplication sentences as illustrated above. NOW WE CAN WRITE THIS SCHEME IN A WAY THAT WE USUALLY USE TO WRITE DIVISION QUESTIONS. FOR EXAMPLE, TO FIND 4.2 f 6, I WRITE: 6 fkTz -9 6) 42 TENTHS — ^ AND TO FIND THE ANSWER: I WRITE: 42 TENTHS ) 7 TENTHS 0 TENTHS / 7 TENTHS = .7 HOW COULD I WRITE OUT THIS PROBLEM: 4.5~ 9? I MIGHT WRITE: 9 ) 4.5 —9 9) 45 TENTHS ) 45 TENTHS 5 TENTHS 0 TENTHS 5 TENTHS = .5 I HOW COULD WE WRITE .36 T 6? I MIGHT WRITE: 6 1736 -9 6 T% HUNDREDTHS 36 HUNDREDTHS 0 HUNDREDTHS 6 HUNDREDTHS 6 HUNDREDTHS = .06 Hand students worksheet 2 to complete. ** Here the student w i l l now leave decimals for a while to discover that another interpretation for a fraction i s division. 5=4, That i s , 3. This w i l l t i e i n to decimals when he discovers that J.= Ir 2, and so to get the decimal for 1 •£ , he divides 2 into 1. ** NOW AS WE SAID BEFORE, THE WHOLE IDEA OF INTRODUCING DECIMALS WAS TO EVENTUALLY SHOW YOU A WAY TO WRITE FRACTIONS AS DECIMALS . BUT WE HAVE FORGOTTEN ALL ABOUT FRACTIONS. LET US RETURN TO THIS SUBJECT TEMPORARILY. SUPPOSE I HAVE THE FRACTION ^ . LET US SEE WHAT WHOLE NUMBER THIS IS ANOTHER NAME FOR. DO YOU KNOW ALREADY? Expect the answer:3. In any case, go on with the following discussion. TELLS ME THAT I HAVE 12 x ^ . I CAN RENAME THIS; 12 x ^ = (3 x 4) x 4 = 3 x (4 x ^ BUT:4xl ) = ^ + i- + ^ + ^ = 1 . = 3x1 = 3 AND SO I SEE THAT = 3. LET'S DO THE SAME WITH . WHAT SHOULD I WRITE FOR MY RENAMING 7 216 AND WHAT WHOLE NUMBER DO I GET EQUAL TO _ ? 7 Expect the students to suggest: 4j = 42 x = (6 x 7) x 1 = 6 x(7 x X 7 ) = 6 x 1 = 6 If they do not suggest this, you rename for them. NOTICE THAT ~ = 6. 7 NOW WE CAN DO THE SAME FOR ~r . WHAT IS THE WHOLE NUMBER FOR XI ? » (o Expect the answer: 3« Rename: =(3 x 6)x = 3 x (6 x X ) = 3 x 1 = 3 MI RENAMING INDICATES THAT 3 IS THE CORRECT ANSWER. NOTICE THAT EACH TIME I WAS FINDING A WAI OF WRITING THE NUMERATOR AS A FRODUCT WHERE ONE OF THE MULTIPLIERS WAS THE DENOMINATOR: 4 x Q = 12 FOR £ , 7 x Q AND 6 x 0 = 18 FOR $ =42 FOR ^ , . WE AlilEADI KNOW THAT FINDING WHAT NUMBER TO MULTIPLI ONE BY TO GET ANOTHER IS THE SAME AS DIVIDING THAT SECOND NUMBER BI THE FIRST. 217 f — — t l SO, IN FINDING THE WHOLE NUMBER FOR 7 , FOR EXAMPLE, I WAS FINDING OUT HOW TO WRITE 42 = O x 7 , OR THAT ANSWER WAS THE WHOLE NUMBER FOR ALSO THE ANSWER TO 42- 7=0 OR 42 = 7 x Q . AND it . BUT THAT ANSWER IS 42"fO= 7. FOR EACH OF THESE FRACTIONS, GIVE A DIVISION SENTENCE THAT WOULD GET A WHOLE NUMBER NAME FOR THE FRACTION: S IS 3 14 T — . i... A — -' •—— Ask 3 students to read out their answers and then explain them by renaming i n a multiplication sentence. Suggested^endtlof day 3. ** Here the student w i l l learn that another name for a fraction can always be found by dividing the numerator by the denominator, even when the division i s not even. ** NOW WE HAVE SEEN THAT FOR SOME FRACTIONS, ANOTHER WAY OF FINDING A NAME FOR THE FRACTION IS TO DIVIDE THE DENOMINATOR INTO THE NUMERATOR. WE WOULD LIKE TO FIND OUT IF THIS IS ALWAYS TRUE. Ii II SUPPOSE WE START WITH Jf . IF OUR RULE WORKS, J~ SHOULD BE THE SAME AS 11 T 5; THAT IS, IF I FIND THE SOLUTION TO Q x 5 = 11, THAT NUMBER 0 SHOULD BE y- . LET'S DO THIS. SUPPOSE WE WRITE: BE TRUE THAT [J x 5 s U. J[ x 5 = 11. .5 IF fl = j f , THEN IT SHOULD 218 J x5 BUT, j = (U x = 11 x ) x5 (5x1 ) 5 = 11 X 1 = 11 SO, J 3 x 5 = 11, AND, THEREFORE, 111 5 = ll~ ' ? . 5 LET'S TRY THE SAME IDEA WITH - j . IF OUR RULE WORKS, WE SHOULD EXPECT THAT THE SOLUTION TO fl x 3 = 8 SHOULD BE j WELL, j . x3 3 =3x(3xi ) = (8 x j - ) x 3 = 8x1 = 8. ? SO, 0 x 3 --8 AND SO 8^3=3" • r CAN ANYONE TELL ME WHY THEY THINKExpect someone to suggest: |x4 = 5 f 4? If u x 4 = 5 , then L] = 5 5/ JL i• 5 x (4 = (5 x = )x 4 = 5x1 = 5 If no one does this, you write out this renaming scheme. ._ _ . CAN ANYONE TELL ME WHY THEY THINK | = 3 r 4? I CAN RENAME 3 -p 4 = fl INTO £1x4=3. since 219 THEN, x^ ) x 3 x (4 x ^ ) = (3 = 4 = 3x1 =3 SO, Hand students worksheet 3 to complete. Suggested end of day 4. NOW THAT WE KNOW HOW TO RENAME A FRACTION AS A DIVISION QUESTION, WE CAN PROCEED TO TIE TOGETHER SOME OF OUR DECIMAL IDEAS WITH THIS ONE. 4 LET'S LOOK AT ^ 4 . WE KNOW THAT j = 4 r 10 BECAUSE 0 IF 4 ~ 10 = Q , THEN 0 x 10 = 4, AND U x 10 = (4 x X ) x 10 = 4 x (10 x JL Q ) = 4 x 1 = 4, SO, i x 10 DOES EQUAL 4, AND THUS, _£ = 4 -f-10. /O 4 ON THE OTHER HAND, WE ALSO KNOW THAT 75 CAN BE WRITTEN AS A DECIMAL AS .4 . IT WOULD BE INTERESTING TO BE ABLE TO SHOW DIRECTLY THAT 4 7-10 = .4 . WELL, 4-r 10 CAN BE WRITTEN AS 10 J 4 BUT IF I TRY TO DO THIS DIVISION, I ONLY GET AN ANSWER OF 0 WITH REMAINDER 4, WHICH DOES NOT HELP ME MUCH. SO I MIGHT TRY TO RENAME 4 = 4.0= 75- = 40 TENTHS. REMEMBER, 4.0 = 4 x 1 = 4 x (10 x L 40 TENTHS. Q ) = (4 x 10) x = 220 THEN, 47 10 CAN BE WRITTEN: 10 J T ~-3> 10 j 4.0 10 J 40 TENTHS / 40 TENTHS ( 4 TENTHS 0 TENTHS) 4 TENTHS = .4 4 WE HAVE DIRECTLY CONVERTED, THEN, ~f INTO A DECIMAL BY USING 0 DIVISION. LET US TRY CONVERTING ^ TO A DECIMAL. WE KNOW THAT OUR RESULT SHOULD BE .6 . BUT WE CAN TRY TO FIND THIS THROUGH DIVISION: 10 J 6.0 ~y> 10 ) 60 TENTHS 60 TENTHS 16 TENTHS 0 TENTHS 6 TENTHS = .6 10 ) 6 WE SHOULD NOW TRY TO FIND DECIMALS WE MIGHT NOT ALREADY KNOW. SUPPOSE WE WANT THE DECIMAL FOR ^ . •£ = 1 T 2, SO WE WRITE: 2 flT 2 ) 1.0 -j> z) 10 TENTHS 10 TENTHS / 5 TENTHS 0 TENTHS | 5 TENTHS = .5 SO, THE DECIMAL FOR / 1 = .5 . THIS MAKES SENSE SINCE .5 = j f =4 NOTICE THAT I CONVERTED THE 1 INTO 1.0 ONLY BECAUSE I WOULD NOT GET ANYWHERE BY DIVIDING 1 BY 2 IN THAT FORM. I WOULD ONLY HAVE GOTTEN 0, REMAINDER 1. 3 NOW LET US TRY ANOTHER FRACTION. SUPPOSE WE START WITH ^ AND WE WANT THE DECIMAL FOR THIS. WE WRITE 4 = 3 - 4 , SO WE WRITE: 221 ) 3 4 ~7> 4 J 3 0 TENTHS 28 TENTHS /7 TENTHS 2 TENTHS / 7 TENTHS SO I GET A REMAINDER WHICH I AM NOT SURE HOW TO HANDLE. ONE POSSIBILITY IS TO CHANGE 3 INTO 3.00 INSTEAD. THIS SEEMS REASONABLE. I CHANGED IT FROM 3 TO 3 . 0 ONLY TO AVOID THE PROBLEMS OR A REMAINDER, SO I MIGHT TRY TO GO ONE STEP FURTHER. ^300 HUNDREDTHS 280 HUNDREDTHS 70 HUNDREDTHS 20 HUNDREDTHS 5 HUNDREDTHS 20 HUNDREDTHS 0 HUNDREDTHS 75 HUNDREDTHS = .75 SO THE DECIMAL EQUIVALENT FOR = .75 . WE WILL NOT ALWAYS GET RID OF THE REMAINDER BY STOPPING AT THE TENTHS PLACE, OR EVEN THE HUNDREDTHS OR THOUSANDTHS, BUT WE CAN KEEP TRYING PLACES UNTIL WE EITHER STOP OR ARE CONVINCED WE CANNOT STOP GETTING REMAINDERS. LET'S TRY ONE MORE QUESTION WITH HUNDREDTHS TOGETHER. WE CAN GET THE DECIMAL FOR • .2. 2$ - 25 j~2~ -=» 25 J 2.0 — > 25 J2T 00 25 ) 200 HUNDREDTHS 200 HUNDREDTHS I 8 HUNDREDTHS 0 HUNDREDTHS 8 HUNDREDTHS = .08 SO, ^ = .08. THIS SEEMS CLEAR SINCE .08 = n /oo Hand students worksheet k to complete. Suggested end of day 5« = 4* • As 222 Changing a Fraction to a Decimal Outline for approach A: WE HAVE MM HAD A LITTLE EXPERIENCE CONVERTING FRACTIONS TO DECIMALS. BUT SO FAR WE HAVE ONLY USED A FEW DENOMINATORS, LIKE HALVES, AND FOURTHS. NOW WE WILL LEARN TO WORK WITH OTHER DENOMINATORS, AS WELL. AGAIN, WE MUST DO A BIT OF REVIEWING FIRST. WHAT DO WE MEAN BY THE FRACTION j 3 7 = I 7 + i ^ 7 + I 7 ? WE CAN MEAN i = 3 x i HOW COULD YOU WRITE _ AS A MULTIPLICATION EXPRESSION? Expect the answer: Repeat this procedure with / and ^ BECAUSE WE HAVE ALREADY LEARNED THAT IN CHANGING FRACTIONS TO EQUIVALENT DECIMALS, DIVISION IS INVOLVED, LET US QUICKLY GO OVER SOME IDEAS ABOUT DIVISION. SUPPOSE I WANT TO SOLVE THE MULTIPLICATION QUESTION: 8 x Q = 32. WHAT DO I DO TO SOLVE THIS? Expect the answer: divide 32 by 8. HOW WOULD YOU SOLVE Dx 8 = 56? Expect the answer: divide 56 by 8. NOTICE THAT I DIVIDED NO MATTER WHETHER I WAS SOLVING 8 x Q = 32 OR f ] x 8 = 32. THE ORDER OF THE MULTIPLICATION DID NOT MATTER, 223 » — ~ " SO DIVISION SOLVED BOTH PROBLEMS EQUALLY WELL. THE IMPORTANT THING TO NOTICE IS THAT IF AMULTIPLICATION QUESTION IS MISSING A FACTOR, I PERFORM DIVISION TO FIND THAT FACTOR OUT. IN TERMS OF MULTIPLICATION STATEMENTS, IT IS IMPORTANT FOR WHAT WE ARE GOING TO DO TO REALIZE HOW THE FORM OF A MULTIPLICATION STATEMENT CAN BE CHANGED WITHOUT CHANGING ITS VALUE. FOR EXAMPLE, I CAN CHANGE 4 x 5 x 9 TO READ 5 x 4 x 9 WITHOUT CHANGING ITS-3VALUE SINCE THE ORDER OF MULTIPLICATION DOES NOT MATTER. I CAN ALSO MULTIPLY THAT EXPRESSION BY 1 WITHOUT CHANGING IT. SO, 4 x 5 x 9 = 4 x 5 x 9 x 1 . BESIDES THAT, I CAN EVEN MULTIPLY IT BY FORMS OF 1 OTHER THAN JUST 1. _ = 2 x •( = 1, SO WE FOR EXAMPLE, WE KNOW THAT CAN RENAME: 4x5x9 =4x5x9x(2x-- ) Z RENAME EACH OF THESE IN SEVERAL WAYS: 7x6 9x7 4x7 Ask several students to read their answers. Make sure some renaming i s based on the order principle and some on the multiplication by one or forms of one principle. ** Here the student w i l l review the idea that = a —• b using examples with denominators other than 2,4,5,10,20, or 50. * * - 224 WE HAVE ALREADY SEEN THAT FOR SOME FRACTIONS, ANOTHER WAY OF FINDING A NAME FOR THE FRACTION IS TO DIVIDE THE DENOMINATOR INTO THE NUMERATOR. LET'S SEE IF THIS SAME RULE CAN BE APPLIED TO THE FRACTIONS I AM ABOUT TO PRESENT AND LET'S REVIEW WHY THIS RULE HOLDS. SUPPOSE I HAVE THE FRACTION ~ . IF THE RULE WORKS, ^ SHOULD BE THE SAME AS 7 f 3 . SUPPOSE WE LOOK AT 7^3* IF 7 7 3 = 0 Q x 3 = 7. , THEN I KNOW THAT WE WANT TO SEE IF £7 CAN BE 2. . 3 7 LET US MULTIPLY -3 j x 3 = (7 x X BY 3 : ) x 3 = 7 x (3 x X ) 3 xX BUT - X + X + X = _ | = = 7 x 1 = 7. SO, BY RENAMING, I FIND THAT X x 3 DOES EQUAL 7 , AND SO 7 3 LET US USE THIS SAME APPROACH TO SOLVE THE PROBLEM OF WHETHER Q £"= 9 f 6 . IF I WANT TO FIND THE SOLUTION TO 9 f 6 , I WRITE: 9 - 6 = 0 IF THEN, I X x 6 =(9x j , ) x 6 = 9 x (6 x ^ = 9 x 1 =9 ) , THEN Q x 6 = 9 . L 225 SO, BY RENAMING, I FIND THAT j? x 6 = 9, SO 9 7 6 = / . IT DOES SEEM TO BE TRUE THAT ANY FRACTION CAN BE EXPRESSED AS THE QUOTIENT FROM DIVIDING ITS NUMERATOR BY ITS Dp.MfiMTMATfiR . Suggested end of day 6. Hand students worksheet 5 to complete. ** Here the student w i l l learn to convert fractions to decimals even when the decimals are non-terminating by approximating to 3 places. ** SUPPOSE WE NOW TRY TO CONVERT j TO A DECIMAL. TO FIND THE DECIMAL FOR ^ , WE KNOW THAT WE CAN FIND THE ANSWER TO 1 f 3. BIT TO FIND THE ANSWER TO 1 7 3, REMEMBER THAT WE TRIED TO EXPRESS 1 AS A DECIMAL SO THAT WE COULD USE OUR USUAL DIVISION PROCEDURE AND AVOID FRACTIONAL REMAINDERS. SO, WE SAY, 1 = 1 +-~ = 1.0 = 10 TENTHS. IF YOU REMEMBER, 1.0 = 10 TENTHS SINCE; 1 = 10 x J_ =10 TENTHS. /o NOW, TO DIVIDE 10 TENTHS BY 3, WE WRITE: 3) 10 TENTHS / 9 TENTHS ( 3 TENTHS 1 TENTH / 3 TENTHS .3 AND WE SEE THAT WE STILL HAVE A REMAINDER. _/ HOWEVER, WE DO KNOW NOW THAT_? IS SOMEWHERE AROUND 3 TENTHS = . 3 . WE OFTEN WRITE THIS AS J ~ . 3 . THIS MEANS THAT .3 IS ALMOST EQUAL TO j . WHEN THIS SAME THING HAPPENED TO US WHEN WE WERE TRYING TO 226 FIND THE DECIMAL TO j , WE TRIED WRITING 1 = 1 . 0 0 ; THAT IS, WE WENT TO THE HUNDREDTHS PLACE. SO, 1 = 1.0 = 100 HUNDREDTHS (SINCE 1 = 100 x J_ = 100 HUNDREDTHS) /o© AND WE DIVIDE: 3 ) 100 90 10 9 1 HUNDREDTHS HUNDREDTHS 30 HUNDREDTHS HUNDREDTHS HUNDREDTHS ( 3 HUNDREDTHS HUNDREDTH j33 HUNDREDTHS = .33 AGAIN, WE HAVE A REMAINDER, BUT NOW WE HAVE A BETTER APPROXIMATION TO _3 , AND WE WRITE J £ .33. THIS IS CALLED A TWO-PLACE APPROXIMATION, WHEREAS . 3 WAS CALLED THE ONE-PLACE APPROXIMATION. THIS IS BECAUSE WE HAVE APPROXIMATED THE SECOND PLACE AFTER THE DECIMAL POINT (THE HUNDREDTHS). WELL, SINCE WE STILL HAVE A REMAINDER, WE MIGHT TRY WRITING 1 IN YET ANOTHER WAY. WHAT DO YOU SUGGEST? Expect the answer! as 1.000 = 1000 thousandths. LET US TRY WRITING 1 AS 1000 THOUSANDTHS (1 = 1000 x J- ). /ooo WE GET: 3) 1.000 -5 3 ) 1000 THOUSANDTHS' 900 100 90 10 9 1 THOUSANDTHS \ 300 THOUSANDTHS THOUSANDTHS 30 THOUSANDTHS THOUSANDTHS/ 3 THOUSANDTH ( 333 THOUSANDTHS THOUSANDTHS THOUSANDTHS THOUSANDTHS * .333 AND, AGAIN, WE STILL HAVE A REMAINDER BUT A STILL BETTER APPROXIMATION FOR j MATION. . HERE, WE SEE J . 3 3 3 , A THREE-PLACE APPROXI- NOTICE THAT THE FIRST TIME WE DID THE DIVISION, WE FOUND THAT J WAS BETWEEN . 3 AND . 4 SINCE WE HAD . 3 WITH A REMAINDER UNDER ONE TENTH, THE NEXT TIME THAT IT WAS BETWEEN .33 AND . 3 4 SINCE WE HAD . 3 3 WITH A REMAINDER UNDER ONE HUNDREDTH, AND THIS TIME THAT IT WAS BETWEEN .333 AND . 3 3 4 . DO YOU THINK WE SHOULD TRY TO WRITE 1 = 1.0000 = 10,000 TENTHOUSANDTHS? Expect the answer: exact answer. WHAT DO YOU THINK WILL HAPPEN? we w i l l get an approximation of . 3 3 3 3 , but not an Suggest this i f the answer i s not forthcoming. SOMETIMES IT TURNS OUT THAT WE NEVER GET AN EXACT DECIMAL FOR A FRACTION NAME. FOR EXAMPLE, HERE WITH J , WE WILL KEEP GETTING BETTER APPROXIMATIONS FROM . 3 TO .33 TO .333 TO .3333 TO .33333, ETC., BUT NEVER AN EXACT ANSWER. THE ANSWER CANNOT BE FOUND, THEREFORE, AS TENTHS OR HUNDREDTHS OR THOUSANDTHS. Suggested end of day LET US LOOK AT _HIS A LITTLE B I T . REMEMBER WHEN WE WERE TRYING TO FIND THE DECIMAL FOR WE ALREADY KNOW THAT I 1 £ ( S~ .5 = /Q , AND COULD BE WRITTEN IN TENTHS AS WE FOUND THE DECIMAL FOR J HUNDREDTHS . WE FOUND THAT I T WAS , WE FOUND THAT I T WAS -X . WHEN .75, OR 75 ) AND WE KNOW THAT WE CAN REDUCE TO GET y. . BUT CAN YOU W R I T E ^ AS AN EVEN NUMBER OF TENTHS? AS AN EVEN NUMBER OF HUNDREDTHS? AS AN EVEN NUMBER OF THOUSANDTHS? IT TURNS OUT THAT WE CANNOT, AND THAT I S WHY WE MUST BE SATISFIED WITH ONLY AN APPROXIMATE DECIMAL!:FOR . 228 NOTICE, HOWEVER, THAT THERE IS A PATTERN TO THE ANSWERS WE GET. WE STARTED WITH .3, THEN GOT .33, THEN .333. IT TURNS OUT THAT EVEN THOUGH WE CANNOT GET AN EXACT DECIMAL, WE CAN ALWAYS FIND A PATTERN. LET'S TRY TO GET SOME OTHER DECIMAL EQUIVALENTS, AND WE CAN DECIDE, IN ADVANCE, THAT EVEN IF WE CANNOT GET AN EXACT ANSWER, WE WILL USUALLY BE HAPPY WITH A 3-PLACE APPROXIMATION. LET'S GET THE DECIMAL FOR j . WE START BY WRITING 2 = 2.0 = 20 TENTHS, SINCE 2=2x1 = 2 x (10 x X ) = ( x 10) x JL = 20 x -fa . THEN WE WRITE: 2 im'mmmm&msmm.,Bin FOR 4 I S . 2 . A ONE-PLACE APPROXIMATION LET'S TRY GETTING A TWO-PLACE APPROXIMATION. 180 20 18 2 HUNDREDTHS 20 HUNDREDTHS HUNDREDTHS HUNDREDTHS ( 2 HUNDREDTHS HUNDREDTHS 22 HUNDREDTHS = .22 AGAIN, WE DID NOT GET AN EXACT ANSWER, BUT OUR TWO-PLACE APPROXIMATION IS 4- £ .22. THIS TELLS US THAT yIS BETWEEN .22 AND .23. IF WE TRY TO GET THE THREE-PLACE APPROXIMATION, WHAT DO YOU GUES 229 IT WILL BE? Expect the answer; .222. WE CAN CHECK: 72000 THOUSANDTHS ) 1800 200 180 20 18 2 THOUSANDTHS 200 THOUSANDTHS THOUSANDTHS 20 THOUSANDTHS THOUSANDTHS 2 THOUSANDTHS / 222 THOUSANDTHS THOUSANDTHS THOUSANDTHS THOUSANDTHS AND YOU WERE CORRECT. AGAIN, NOTICE THAT THERE WAS A PATTERN. WE GOT .2, THEN .22, THEN .222. BUT THE PATTERN IS NOT ALWAYS THIS NICE. LET US TRY ANOTHER 3 QUESTION. LET'S FIND THE DECIMAL FOR -j . LET US GO DIRECTLY TO THE 3-PLACE APPROXIMATION. WE CANNOT LOSE ANYTHING BY THIS APPROACH, SINCE WE CAN JUST READ OFF THE 1 AND 2 PLACE APPROXIMATIONS FROM IT. MATION FOR j FOR EXAMPLE, THE 3-PLACE APPROXI- .222 TELLS ME THAT THE 1-PLACE APPROXIMATION IS .2 AND THE 2-PLACE IS .22. I WANT TO RENAME 3 = 3-000 = 3000 NOW TO GET BACK TO THOUSANDTHS. THEN , ll)3.000 11 ;3000 2200 800 770 30 22 8 SO, I SEE THAT 77"^ .272. THOUSANDTHS THOUSANDTHS 200 THOUSANDTHS THOUSANDTHS / 70 THOUSANDTHS 2 THOUSANDTHS THOUSANDTHS j 272 THOUSANDTHS THOUSANDTHS THOUSANDTHS THOUSANDTHS = 2?Z 230 1 IT TURNS OUT THAT IF I HAD USED 1 = 1.0000 INSTEAD OF 1.000, I WOULD HAVE FOUND THAT THE FOUR-PLACE APPROXIMATION IS .2727. CAN ANYONE GUESS WHAT THE NEXT DIGIT WOULD BE FOR THE FIVE-PLACE i APPROXIMATION? ^ • j Expect the answer:2. ACTUALLY THE PATTERN IS 27 REPEATING. " For each of these problems, have the students f i n d the three-place approximation to the fraction's decimal equivalent. Make sure that the students who show t h e i r answers on the board also explain why the numerator was converted into thousandths as i t was. 2—1 7 3 J3 4 n Suggested end of day 8. Comparison of Fractions Using the Cross-Product Outline f o r approach p: WE WILL NOW LEARN A WAY TO DECIDE WHETHER A FRACTION IS MORE THAN OR LESS THAN A GIVEN WHOLE NUMBER, GREATER THAN OR LESS THAN FOR EXAMPLE, WHETHER j IS 4. BUT TO DO THIS, WE MUST FIRST DO SOME REVIEWING. I WILL CALL OUT SOME MULTIPLICATION QUESTIONS. Ask the following questions: If there i s much d i f f i c u l t y i n answering these questions on the part of the class as a whole, then draw diagrams to i l l u s t r a t e the problems. For example, to i l l u s t r a t e : 6x2 X X X X X X X X X X X X 5x5 X X X X X X X X X X X X X X X X X X X X X X X X X Notice that the f i r s t number represents the number of rows and the second number represents the number of columns. BECAUSE WE ARE DEALING WITH FRACTIONS, WE HAD BETTER REMEMBER SOME OF OUR FRACTION WORK, AS WELL. 232 Go over items 1 5 - 1 9 on the pretest. Read each item, and ask f o r an answer. Discuss, i n particular, that the name of a shaded region depends on the number of parts of the same size into which the figure i s drawn and the number of these parts that are shaded i n . LOOK AT THESE PICTURES. EACH CIRCULAR REGION REPRESENTS THE NUMBER 1 . EACH RECTANGULAR REGION REPRESENTS THE NUMBER 1 ALSO. NOTICE THAT THE CIRCLES ARE THE SAME SIZE AND THE RECTANGLES ARE THE SAME SIZE. NOW LET US SHADE PART OF EACH CIRCLE AND PART OF EACH RECTANGLE LIKE SO: ii WHAT FRACTIONS WOULD WE WRITE UNDER THESE SHADED PICTURES? Expect the answers: 3 -zj ~5 5 ) I *J 2 THE SHADED CIRCLES SHOW US THAT J 3 IS LESS THAN BECAUSE THE SHADED REGION IN THE FIRST CIRCLE IS LESS THAN THE SHADED REGION IN THE SECOND CIRCLE. THE SHADED REGION IN THE FIRST RECTANGLE IS GREATER THAN THE SHADED REGION IN THE SECOND RECTANGLE. IS GREATER THAN 5 WE CAN WRITE THIS SHOWS US THAT 3 AND 3 y IT WOULD NOT BE SO EASY TO USE THESE PICTURES TO DECIDE WHETHER 3 IS GREATER THAN J - . CAN YOU SEE WHY IT IS HARD TO COMPARE FRACTIONS WHEN WE USE DIFFERENT SHAPES TO REPRESENT 1 ? FOR THE NEXT LITTLE WHILE WE SHALL TRY TO FIND A WAY TO COMPARE 233 ANY TWO FRACTIONS FOR SIZE. WE SHALL USE PICTURES AT FIRST, BUT LATER WE SHALL BE ABLE TO DO IT WITHOUT PICTURES TO HELP US. NEXT WE SHALL LOOK AT THESE PICTURES OF FRACTIONS. CAN IOU SEE HOW THEY ARE DIFFERENT FROM THE ONES WE LOOKED AT BEFORE? IN THE FIRST PICTURES WE LOOKED AT, EACH OF THE FRACTIONS REPRESENTED A NUMBER THAT WAS LESS THAN 1. IN THESE PICTURES, EACH FRACTION REPRESENTS A NUMBER THAT IS GREATER THAN 1. THE FRAC- 4 TION WE SHOULD USE FOR THE SHADED CIRCULAR REGIONS IS J BE- CAUSE THERE ARE THREE THIRDS SHADED IN THE FIRST CIRCLE AND ONE MORE THIRD IN THE SECOND CIRCLE. THREE THIRDS AND ONE MORE THIRD IS FOUR THIRDS. NOW LOOK AT THE RECTANGLES. THE FRACTION THAT WE SHOULD USE TO REPRESENT THE SHADED RECTANGULAR REGIONS IS f BECAUSE THERE ARE FIVE FIFTHS SHADED IN THE FIRST RECTANGLE AND ANOTHER FIVE FIFTHS IN THE SECOND AND TWO MORE FIFTHS IN THE THIRD RECTANGLE. FIVE FIFTHS AND FIVE MORE FIFTHS AND TWO FIFTHS IS TWELVE FIFTHS. CAN YOU TELL FROM THESE PICTURES WHETHER 3 4 WHETHER J IS LESS THAN It ~3 ? IS GREATER THAN % EVEN THOUGH ONE PICTURE USES CIRCLES AND THE OTHER USES RECTANGLES, IT IS EASY TO TELL THAT IS GREATER THAN LESS THAN j 12. J 4 BECAUSE ,3 . WE HAVE 3 ^ OR IS LESS THAN 2 AND ~ X<- (f „..~ 5 ,— SO » WHEREAS Jf 2 IS Iz 2-43 ~~3- - NOTICE THAT IF ONE FRACTION IS GREATER THAN ANOTHER, IF WE REVERSE THE ORDER IN WHICH WE WRITE THE COMPARISON SENTENCE, WE GET 234 A SENTENCE INVOLVING A LESS THAN COMPARISON. J ^ ~ FOR EXAMPLE, WE CAN SAY OR \ BE CAREFUL THAT THE OPEN END OF THE > > ~i • SYMBOL IS POINTING TOWARD THE GREATER NUMBER. Ask the students to draw diagrams to determine the greater of the two f r a c t i o n s i n each of the following p a i r s . 3 or or 3 4 or f Discuss the answers. i. Z 3 H> i 3 NOW WE CAN ALL FIND MANY DIFFERENT FRACTIONS TO REPRESENT THE SAME SHADED REGION IN A FIGURE: FOR INSTANCE, IN BOTH FIGURES BELOW WE HAVE SHADED EXACTLY THE SAME AREA, BUT WE SHOULD PROBABLY WRITE % FOR THE FIRST PICTURE AND WE SHOULD PROBABLY WRITE f r FOR THE SECOND PICTURE. WE SAY THAT THE TWO SHADED REGIONS ARE EQUIVALENT, WE CAN CALL THE TWO FRACTIONS EQUIVALENT FRACTIONS AND WE WRITE: £ = |f IN THE SAME WAY THERE ARE MANY DIFFERENT EQUIVALENT FRACTIONS TO REPRESENT THE NUMBER 1. LENT. THE DIAGRAMS BELOW ARE ALL EQUIVA- THEY SHOW US THAT WE CAN THINK OF 1 BY USING THE FRACTION 7 OR THE FRACTION \ WE CAN WRITE -f = OR THE FRACTION 4 = _f ^ . . CAN YOU THINK OF AT LEAST FOUR NEW FRACTIONS, ALL OF WHICH ARE EQUIVALENT TO % 1 CAN YOU 235 DRAW DIAGRAMS TO SHOW THIS EQUIVALENCE? Expect answers l i k e or 2T 5 or -5 or etc. /o » ** Here the student w i l l learn how to compare a given f r a c t i o n with 1. He w i l l , i n p a r t i c u l a r , learn that any f r a c t i o n whose numerator i s smaller than i t s denominator i s less than 1. * * I WANT TO BE ABLE TO COMPARE FRACTIONS TO WHOLE NUMBERS, SO I MIGHT AS WELL START BY COMPARING FRACTIONS WITH 1. HOW DO I TELL IF A FRACTION LIKE J - IS GREATER THAN 1 OR LESS THAN 1 ? WELL, IF | MORE AREA THAN IS GREATER THAN 1 THAT WOULD MEAN THAT J COVERS 1 IN DIAGRAMS WHERE THE SAME UNIT IS USED IN BOTH PICTURES. I MIGHT DRAW DIAGRAMS LIKE SO: (NOTICE THAT THE CIRCLES ARE ALL THE SAME SIZE.) HOWEVER, ANOTHER WAY TO COMPARE THE TWO NUMBERS MIGHT BE TO CHANGE 5 1 INTO THIRDS, AND THEN COMPARE THE CHANGED NAME FOR 1 TO 3 . HOW DO I GET AN EQUIVALENT FRACTION TO 1 IN THIRDS? REMEMBER WHAT WE JUST DID BEFORE TO GET NAMES FOR 1. Expect the answer: cut 1 c i r c l e i n t o 3 pieces. WE CAN TAKE OUR ONE UNIT AND SPLIT IT INTO THREE PIECES. SAY/ THAT ANOTHER NAME FOR 1 IS ~ . THEN WE 236 _f-3 WE KNOW THAT j > j SINCE 5 PIECES EACH OF THE SAME SIZE HAS TO BE GREATER THAN ONLY 3 OF THOSE PIECES. X AND 1 FOR SIZE? HOW CAN WE COMPARE ONE WAY WOULD BE TO DRAW DIAGRAMS LIKE THIS: BECAUSE THE FIRST DIAGRAM HAS A SMALLER SHADED AREA THAN THE X. SECOND DIAGRAM, WE KNOW THAT J WRITE ^ f IS LESS THAN 1 AND WE CAN ^ IT MIGHT BECOME EVEN CLEARER IF WE CHANGED THE SECOND DIAGRAM A BIT AND INSTEAD DREW AN EQUIVALENT DIAGRAM FOR IT, LIKE THIS: / <> IT IS VERY EASY NOW TO TELL WHICH IS GREATER. ALL THAT WE NEED TO DO IS TO COMPARE THE NUMERATORS OF THE FRACTIONS. TORS ARE 2 AND 4. THE NUMERA- 4 MUST BE LESS THAN i BECAUSE 2 IS LESS THAN 4, WE KNOW THAT ^ f , OR 1. NOTICE THAT IN EACH CASE WE CONVERTED 1 TO A FRACTION WITH THE SAME DENOMINATOR AS THE OTHER FRACTION. WHEN WE HAD 5 J f FOR THE FRACTION, WE CHANGED 1 TO , WE ± CHANGED 1 TO 3 2 -J ; WHEN WE HAD f ~jf . THEN ALL WE HAD TO DO WAS TO COMPARE NUMERATORS. WE CHECKED TO SEE IF THE NUMERATOR OF THE FRACTION OTHER THAN 1 WAS GREATER OR .ESS THAN THE NUMERATOR OF THE FRACTION WHICH WAS EQUIVALENT TO 1. BUT WHAT IS THE NUMERATOR OF THE FRACTION EQUIVALENT TO 1 IN EACH 237 OF THOSE CASES? Expect the answer: three or four, or the same as the denominators. IN BOTH CASES, THAT NUMERATOR WAS EQUAL TO THE DENOMINATOR OF THE FRACTION EQUIVALENT TO 1 AND ALSO THE DENOMINATOR OF THE OTHER FRACTION. THIS MAKES SENSE SINCE FIRST, WE PICKED THE DENOMINATOR OF THE FRACTION EQUIVALENT TO 1 TO MAKE IT HAVE THE SAME DENOMINATOR AS THE OTHER FRACTION, AND SECOND, THE NUMERATOR OF THE FRACTION EQUALS ITS DENOMINATOR WHEN THE FRACTION IS ANOTHER NAME FOR 1. SO IF I AM COMPARING THE NUMERATOR OF THE ORIGINAL FRACTION WITH THE NUMERATOR OF THE NEW FRACTION THAT IS EQUIVALENT TO 1, THAT IS THE SAME AS COMPARING THE NUMERATOR OF THE ORIGINAL FRACTION TO ITS DENOMINATOR. LET'S CHECK. TO COMPARE J 3£ COMPARED I SAID T 3^ 0 OR 5 TO 3. 5 7 3, AND, THEREFORE, X TO COMPARE Tf If TO I SAID TO WITH 1, WE CHANGED 1 INTO THIRDS AND WITH 1, I CHANGED 1 INTO 1. 4 ? AND, THEREFORE, ?p<l. LET'S TRY THIS PROCEDURE WITH COMPARING % o THAT I- > 1 OR %•/ 1 ? 5 =2 Expect the answer: TJ^ ? 1. TO COMPARE i. 5 AND COMPARED 2 TO 4. OR 2 <4, S. y WITH 1, I COULD EITHER: TO 1. DO YOU EXPECT 233 (a) FIND AN EQUIVALENT FRACTION TO 1 WITH DENOMINATOR 5 AND COMPARE 5 TO THAT EQUIVALENT FRACTION, OR (b) I COULD COMPARE THE NUMERATOR OF THE FRACTION, 6, TO THE DENOMINATOR, 5. SINCE 6>5, THEN 4 > 1. z> BE SURE TO UNDERSTAND THAT ALTHOUGH I AM USING A SLIGHTLY DIFFERENT METHOD IN £a) AND (b), I AM STILL COMPARING THE SAME TWO NUMBERS AND WILL ALWAYS GET THE SAME RESULTS FOR THE COMPARISON. THAT IS, HERE, IF I USED PLAN (a), I WOULD SAY 5" >§ SINCE 6^5. THEREFORE, ^- / f = 1 AND THEN 1. Ask the students to use each of techniques a and b to f i n d out which f r a c t i o n i s greater i n each of the following p a i r s . I f any student t r i e s to answer i n terms of whether the f r a c t i o n i s proper or improper, explain that he i s correct, but that you would l i k e him to t r y to show that your techniques also work. 3 t» 1 r 5 » 5 1' 3 1' 1 1 1 Ask four students to come to the board to show both of t h e i r explanations f o r each of the four questions. Suggested end of day 1. ** Here the student w i l l learn how to compare f r a c t i o n s to whole numbers other than 1 by f i r s t learning a way to rename these whole numbers as equivalent f r a c t i o n s . ** 239 NOW THAT WE KNOW HOW TO COMPARE FRACTIONS TO 1, WE WOULD LIKE TO SEE IF WE COULD COMPARE THESE FRACTIONS TO OTHER WHOLE NUMBERS. JUST AS BEFORE, WE MIGHT TRY TO FIND FRACTION NAMES FOR THESE WHOLE NUMBERS SO THAT IT MIGHT BE EASIER TO COMPARE THEM WITH THE FRACTIONS WE ARE GIVEN. SO NOW LET'S SEE HOW GOOD WE ARE AT RENAMING WHOLE NUMBERS OTHER THAN 1 AS FRACTIONS. SUPPOSE WE WANT ANOTHER NAME FOR 2. ONE WAY IS TO DRAW A PIC- TURE. FOR EXAMPLE, TO FIND ANOTHER NAME FOR 2, I MIGHT DRAW: ? 2 4 T n OR I MIGHT DRAW: I WHAT OTHER FRACTION COULD WE GET BY MARKING THE DRAWING DIFFERNTLY' Accept any answer where each whole i s cut i n t o the same number of parts, e.g. WHAT DO YOU NOTICE ABOUT THE NUMERATORS OF OUR ANSWERS AS COMPARED TO THE DENOMINATORS? Expect the answer that each numerator i s twice as much as the denominator. I f no one says t h i s , go on with the following anyway. AND SO OUR M !HAD SOMETHING 10 LIKE [0 f_ + 2-D IN EACHWAS SITUATION, WE y ANSWER IZ Tj T 7o /O ~ TO m + _ .ZxTo ~ /O ' OUR NUMERATOR WAS TWICE OUR DENOMINATOR FOR FRACTIONS EQUIVALENT 240 TO TWO. WHAT WOULD YOU PREDICT ABOUT THE NUMERATOR AS COMPARED TO THE T DENOMINATOR IF WE WROTE FRACTIONS FOR 3 INSTEAD OF 2? Expect the answer: the numerator w i l l be three times as l a r g e . LET'S CHECK. ONE WAY TO GET A FRACTION EQUIVALENT TO 3 IS TO DRAW 3 WHOLES AND DIVIDE EACH ONE UP THE SAME WAY. FOR EXAMPLE, I MIGHT DRAW: THEN MY EQUIVALENT FRACTION NAME FOR 3 IS _r + I + 1 = NOTICE THAT THE NUMERATOR IS 3 TIMES THE DENOMINATOR. DOES ANYONE ELSE HAVE ANOTHER FRACTION NAME FOR 3? Expect an answer l i k e : 9 J or Iz. Is J~ or -j^ LET'S SEE IF WE CAN CHECK THIS WITH A DIAGRAM. 9 Draw, e.g., f o r 3 = -5 for 3 = IZ ^ SUPPOSE I AM TRYING TO FIND A FRACTION EQUIVALENT TO 10. WHAT DO YOU SUPPOSE WE MIGHT GUESS ABOUT THE RELATIONSHIP BETWEEN THE NUMERATOR AND THE DENOMINATOR? Expect the answer: the numerator w i l l be 10 times as large as the denominator. 241 LET'S SEE IF WE WERE RIGHT. SUPPOSE WE WANT THE DENOMINATOR TO BE 3»i , SINCE WE PREDICTED THAT THE NUMERATOR WILL BE 10 TIMES J AS LARGE AS THE DENOMINATOR, WE SHOULD GET A FRACTION — 3 FOR OUR ANSWER. WE CAN DRAW: Ask the students to work out equivalent f r a c t i o n s f o r each of the following whole numbers so that the f r a c t i o n s have the given denominators. 4 WITH DENOMINATOR 5 7 WITH DENOMINATOR 4 5 WITH DENOMINATOR 2 8 WITH DENOMINATOR 3 Ask a student to come t o the board f o r each problem showing h i s answer and the accompanying diagram. The teacher can draw the diagram outlines i n advance to save time. Then have the students t r y to solve the following questions. I f they hav* trouble, allow them to go back to a diagram. 3 « O 6 = a 5= a 3 .9 = • 2- Have a student read out h i s answers and make sure that everyone under- 242 stands how he got these correct answers. Suggested end of day 2. ** Here the student w i l l learn how to compare a f r a c t i o n with any whole number, f o r example, to compare - with 4. ** WE ALREADY KNOW HOW TO COMPARE A FRACTION WITH 1. NOW WE WILL TRY TO COMPARE FRACTIONS TO OTHER WHOLE NUMBERS. SUPPOSE I WANT TO COMPARE _ J TO 5 . AS BEFORE, IF WE TURN 5 INTO THIRDS, IT WILL BE EASIER TO COMPARE IT TO J * BECAUSE IT IS VERY SIMPLE TO COMPARE FRACTIONS WITH THE SAME DENOMINATOR. FOR EXAMPLE, WHICH IS LARGER, f OR ? 5 Expect the answer THIS IS SO SINCE 5 PIECES OF A CERTAIN SIZE WILL ALWAYS BE GREATER THAN ONLY 3 PIECES OF THAT SIZE. WHAT ABOUT 1 z OR Z t ? Expect the answer THIS IS SO SINCE 7 PIECES OF THE SAME SIZE WILL ALWAYS BE GREATER THAN ONLY 2 PIECES OF THAT SIZE. THE SAME PRINCIPLE APPLIES NO MATTER WHAT THE DENOMINATOR. IF TWO FRACTIONS HAVE THE SAME DENOMINATOR, WE NEED ONLY COMPARE THEIR NUMERATORS TO DECIDE WHICH IS GREATER. I f you f e e l that the students are having d i f f i c u l t y with this idea, draw diagrams l i k e ; 243 and so show them that 7 pieces of the same size would be greater than 5 of them. NOW LET'S GET BACK TO OUR PROBLEM OF COMPARING J f TO 5 . SUPPOSE I WANT TO CHANGE 5 TO AN EQUIVALENT FRACTION WITH DENOMINATOR 3 . WHAT DO I GET? Expect the answer: IS 3x3 NOTICE THAT I COULD WRITE THIS AS SINCE WE ALL KNOW THAT THE NUMERATOR IS 5 TIMES THE DENOMINATOR. 5*3? THEN, WHICH IS GREATER, J OR lb Expect the answer: T jf . NOTICE THAT WE MIGHT DRAW A DIAGRAM TO CHECK: AND WE SEE THAT ^ ;> 5 SINCE 16 />15, OR SUPPOSE WE WANT TO COMPARE j - TO 4 . 16 > 5x3 . WHAT EQUIVALENT FRACTION FOR 4 WOULD MAKE THIS PROBLEM EASIER? Expect the answer: IT NOTICE THAT THIS EQUIVALENT FRACTION TO 4 HAS DENOMINATOR 3 AND NUMERATOR Expect the answer: 4 x 3 . 3 5" THEN WHICH IS GREATER, -=- OR &3 _ r? 244 WE CAN DRAW A DIAGRAM TO CHECK: AND WE SEE THAT -f ^ 4 SINCE TO COMPARE Expect the answer: 5 <L2 OR 5^4x3 . -s- TO ?, WHAT DO YOU SUGGEST DOING? Change 7 into -j and then compare 50 with 56. NOTICE THAT WE CAN DRAW THE DIAGRAM: Ask the students to compare: j & 7 TO 7 TO 5 (g TO 8 $ Ask three students to come to the board to show t h e i r solutions as diagrams. For each problem, be sure to restate the answer so that i t can be seen as comparing the f i r s t f r a c t i o n ' s numerator with the product of its> denominator and the whole number, e.g. f o r the f i r s t problem, as 19 compared to 3x7. WHEN WE EXAMINE WHAT WE HAVE DONE SO FAR, WE SEE THAT WE ALWAYS CHANGED THE WHOLE NUMBER TO AN EQUIVALENT FRACTION WITH DENOMINATOR EQUAL TO THE DENOMINATOR OF THE GIVEN FRACTION. THEN WE COMPARED THE NUMERATOR OF THE GIVEN FRACTION TO THE NUMERATOR OF THIS FRACTION EQUIVALENT TO THE WHOLE NUMBER. 245 HOWEVER, BECAUSE OF THE WAY OF GETTING EQUIVALENT FRACTIONS TO WHOLES, WE SEE THAT THIS IS EXACTLY THE SAME AS COMPARING THE NUMERATOR OF THE GIVEN FRACTION WITH THE PRODUCT OF THE DENOMINATOR OF THAT FRACTION AND THE WHOLE NUMBER. HP FOR EXAMPLE, TO COMPARE J WITH 5 , WE COMPARED 16 TO 5 x 3 - TO COMPARE J TO 4 , WE COMPARED 5 TO 4 x 3 . Ik TO _£ TO 5 = 3 3 _T TO 4 = £3 T "0 4<3-3" 3 SO THAT TO COMPARE ANY FRACTION TO A WHOLE NUMBER, I CAN FIND ... WHOLE NUMBERS TO COMPARE INSTEAD JUST AS IN COMPARING yTO I COMPARED THE .WHOLE^NUMBERS 16 AND 15 OR 16 AND 5. 5x3. For each of the following, ask the students to write a whole number i n e q u a l i t y they could solve to f i n d the answer to the question of which of the two numbers i n the pair i s greater. X AND 4 /| AND 3 5 IS AND 5 __ Have three students come to the board to show t h e i r answers. They can diagram to show the v a l i d i t y i f necessary.Expect answers: 25 > 6 x 4 M1 4 4 5x3 19 < 4x5 25 > 4 x 6 14 /_ 3x53 ' or 19 </ 5x4 Be sure to stress the importance of not changing around the numbers i n f i l l i n g i n the inequality sign. For example, to f i l l i n I 6 > 5 x 3 , so ^ | ^ 5 ; but to f i l l i n 5~ f Hand worksheet 1 to the students to complete. Suggested end of day 3« 5» I say , I say 5 x 3 ^ 1 6 , so 5^j- 246 Comparison of Fractions Using the Cross-Product Outline f o r approach Pt NOW THAT WE KNOW HOT TO COMPARE A FRACTION TO A WHOLE NUMBER, WE ARE GOING TO LEARN HOW TO COMPARE TWO FRACTIONS. BUT, AGAIN, WE JUST WANT TO REMIND OURSELVES OF A FEW THINGS BEFORE WE GO ON. FIRST OF ALL, LET'S ALL REMEMBER WHAT WE MEAN BY. A FRACTION LIKE 4 j . WHAT DOES THE T0P-4- TELL US? Expect the answer- the number of parts that we are considering(shaded). WHAT DOES THE BOTTOM-5- TELL US? Expect the answer- the number of equal parts into which a whole i s divided. SO, TO DRAW A DIAGRAM SHOWING 5 ' WE MIGHT DRAW: HOW WOULD YOU DRAW A DIAGRAM REPRESENTING -77 ? Have a student come to the board to show his diagram. WHAT WOULD A DIAGRAM FOR ~Q BE LIKE? Have another student come to the board to show his diagram. WELL, THIS SEEMS REASONABLY EASY, SO LET'S GO ON TO THE NEXT BIT OF REVIEWING. 24? HOW CAN WE TELL, USING DIAGRAMS, WHICH OF TWO FRACTIONS IS LARGER? Expect the answer- the larger fraction^covers more area. SINCE WE ARE LOOKING AT AMOUNT OF AREA COVERED, TELL ME WHICH IS GREATER IN EACH OF THESE PAIRS: (a) (([[J) (b) (b) Expect the answers: (a), ( b ) . NOTICE THAT WE DID NOT EVEN HAVE TO KNOW THE NAMES FOR THE SHADED AREAS TO TELL WHICH FRACTION REPRESENTATION WOULD BE GREATER. BUT SUPPOSE WE START OUT WITH FRACTIONS AND WANT TO DRAW DIAGRAMS IN ORDER TO HELP US DO THE COMPARISON. FOR EXAMPLE, SUPPOSE WE START BY COMPARING j AND WE WOULD DRAW: AND SEE THAT ^ /. 2. 3 ^ Ask the students to decide which of I 3" ^ o r j i s greater by drawing a diagram. Have one student come to the board to show his answer. repeat the procedure f o r comparing and -L and and ~- Then . FINALLY, WE WANT TO REMEMBER THAT NOT ONLY ARE FRACTIONS GREATER THAN OR LESS THAN OTHERS; THEY ARE SOMETIMES EQUAL, OR EQUIVALENT. REMEMBER THAT EQUIVALENT FRACTIONS ARE FRACTIONS WHICH COVER THE SAME AREA. FOR EXAMPLE, 1 = Z SINCE I CAN 248 DRAW: NOTICE THAT I CAN ALWAYS GET MORE EQUIVALENT FRACTIONS BY CUTTING UP THE PIECES OF MY DIAGRAM. FOR EXAMPLE, Ask the students to f i n d other names of the following by cutting: T. 3 Z f j_ H Accept any answers f o r students which demonstrate c u t t i n g of a l l pieces i n the o r i g i n a l diagram i n the same manner, e.g. a l l are cut i n h a l f , or a l l are cut i n t h i r d s , etc. Suggested end of day 4. ** Here the student w i l l review the idea that two f r a c t i o n s with the same 4 Co denominator can be compared by examining t h e i r numerators, e.g. since ?— 6^4.** I WANT TO BE ABLE TO COMPARE ANY TWO FRACTIONS, BUT I MIGHT AS WELL START BY COMPARING FRACTIONS WITH THE SAME DENOMINATOR. 7 SUPPOSE I WANT TO COMPARE ~df S WITH 4 . THIS IS FAIRLY EASY. ALL 7 I HAVE TO DO IS TO DRAW A DIAGRAM SHOWING SHOWING k. If AND ANOTHER AND SEEING WHICH COVERS MORE AREA. 249 IN THE FIRST CASE, I AM TAKING SEVEN PIECES EACH OF A CERTAIN SIZE WHEREAS, IN THE SECOND CASE, I AM TAKING ONLY FIVE PIECES OF THAT SIZE. BECAUSE WE ARE TAKING MORE OF THE SAME SIZE PIECES, WE CAN SAY THAT SEVEN FOURTHS IS GREATER THAN FIVE FOURTHS AND WRITE r 5" If ? If 5 WHAT IF WE WERE TO COMPARE | Expect the answer C | TO ? WHICH IS GREATER? g" LET'S USE A DIAGRAM TO CHECK: 5 EIGHTHS BECAUSE 5 ^ 6, WE CAN SEE THAT ^ ^1 Ask the students to name the greater f r a c t i o n i n each of these p a i r s . 3 AND ? f 9 AND % L -& 5" AND 3 3 Have three students come to the board to draw diagrams to explain t h e i r answers. ** Here the student w i l l learn to generate equivalent fractions f o r two given ones with a common denominator as the product of the o r i g i n a l two denominators; f o r example, f o r and -g , to produce £^ and as equivalent f r a c t i o n s f o r purposes of comparison. ** NOW THAT WE ALREADY KNOW A BIT ABOUT COMPARING SOME FRACTIONS, LET US TRY TO SEE IF WE CAN USE "fHIS SAME TECHNIQUE ON ANY FRAC: 7 250 - IS IT EASY TO DECIDE WHETHER ~ 7 If ? CAN WE MAKE IT EASIER? SUPPOSE WE COULD REWRITE BOTH OF THESE FRACTIONS SO THAT THEY BOTH HAVE THE SAME DENOMINATOR. THAT WOULD MAKE IT A LOT EASIER. WE ALREADY KNOW THAT A WAY TO GET EQUIVALENT NAMES FOR A FRACTION IS TO DRAW DIAGRAMS AND PRETEND TO CUT THEM. FOR EXAMPLE, TO CHANGE 4 INTO ANOTHER NAME, I MIGHT CUT LIKE: AND SEE THAT ? v NOW SUPPOSE I WERE TRYING TO COMPARE J * WITH "Zjf ONE WAY TO COMPARE THESE IS TO FIND OTHER NAMES FOR EACH SO THAT THE TWO NEW NAMES HAVE THE SAME DENOMINATOR. FIRST WE COULD DRAW AND BUT IF I HAD'DIVISIONS OF 12 INSTEAD OF 3 AND k FOR EACH CIRCLE, I COULD EASILY COUNT THE NUMBER OF SUBDIVISIONS REPRESENTED BY * EACH OF THE FRACTIONS 3 3 AND T? IN TERMS OF TWELFTHS AND COMPARE THESE LIKE SO: A NOW NOTICE THAT THE J . ? BECOMES f L AND THE 3 7f „ BECOMES 97 1 • THIS SEEMS REASONABLE, SINCE IF I CUT EACH THIRD INTO FOURTHS, THEN I GET A TOTAL OF 12 PIECES, AND SO 3 2J4 BECOMES . -X SIMILARLY /z IF I CUT EACH FOURTH INTO THREE, I GET A TOTAL OF 12 PIECES, AND 251_ __ _ SO ^ BECOMES NOTICE THAT IF I AM COMPARING A FRACTION WITH DENOMINATOR 3 TO ONE OF DENOMINATOR 4, I CAN CUT EACH OF THE THIRDS INTO 4 PIECES, EACH OF THE FOURTHS INTO 3 PIECES, AND AN EXACT NUMBER OF TWELFTHS TO REPRESENT EACH OF THE ORIGINAL FRACTIONS. / SUPPOSE I WANT TO COMPARE TIONS SHOULD I USE? X 7 WITH ~§ . WHAT EQUIVALENT FRAC- WE CAN BEGIN BY DRAWING THESE DIAGRAMS: THEN I CAN CUT EACH OF THE HALVES IN THE FIRST DIAGRAM INTO 5 PIECES TO GET A TOTAL OF 10 PIECES AND EACH OF THE FIFTHS IN THE SECOND DIAGRAM INTO 2 PIECES TO GET A TOTAL OF 10 PIECES, LIKE SO: THEN, i" To AND 2. =To 4 A N D 3 5 = i /o , AND WE COULD EASILY COMPARE TO ' AGAIN, NOTICE THAT I CUT EACH FIFTH INTO 2 PIECES AND EACH HALE INTO 5 PIECES, SO THAT BOTH DIAGRAMS HAD THE SAME NUMBER OF SUBDIVISIONS AND SO THAT I COULD EASILY COUNT THE NUMBER OF THESE SUBDIVISIONS EQUAL TO EACH £ AND EQUAL TO EACH ^ WHAT DO YOU EXPECT TO BE THE DENOMINATOR OF FRACTIONS EQUIVALENT TO -~ AND * £ 3 the answer: 6 . SO AS TO MAKE THEM EASIER TO COMPARE? 252 WE CAN DRAW: AND SEE THAT, INDEED, / CAN BE REWRITTEN AS A AND ^ AS £- Ask the students to attempt to rewrite each of these pairs of f r a c t i o n s as equivalent f r a c t i o n s with the same denominator. 3 I X AND 3" 4 X AND 3 X AND X Je L Have three students show their work on the board. I f any students use denominators other than the products of the given ones, explain that they are correct ( i f they are), but ask them to use the product as a guarantee / 3 that the procedure w i l l work.. For example, f o r "J_ and ^ , we might use the denominator k, but we could c e r t a i n l y not do t h i s f o r-j~and point out that we can always use the product. Be sure that the students r e a l i z e that the product of the two denominators can always be used since we are insuring that each of the small pieces i n t o which each of the diagrams i s divided can be written as an i n t e g r a l number of the new subdivisions, and therefore the t o t a l f r a c tions we s t a r t with can also be written as i n t e g r a l multiples. d ** Here the student w i l l learn that 3 C -g / ' ^ o n l y when a x d ^ b x c, f o r Z example, -Q 7-^ only because 3x 5 ' 2 x 6. ** NOW WE ALREADY REALIZE THAT AN EASIER WAY TO COMPARE TWO FRACTIONS TO DECIDE WHICH IS GREATER IS TO RENAME THEM AS FRACTIONS WITH A COMMON DENOMINATOR AND WE HAVE PRACTICED REWRITING 253 EQUIVALENT FRACTIONS. SUPPOSE I WANT TO COMPARE / 4 -£ WITH -J TO EIND WHICH IS GREATER. I CAN REWRITE THESE AS EQUIVALENT FRACTIONS WITH THE SAME DENOMINATOR. WHAT FRACTIONS WOULD I USE? , -7^ Expect the answers: I CAN CHECK THIS WITH A DIAGRAM: THEN, I NOTICE THAT I AM COMPARING WITH ^ WHICH I S GREATER? Expect the answer: ? Tz BUT WHERE DID THE 6 IN Ti. COME FROM? I T CAME FROM ONE PIECE OUT OF THE TWO THAT I STARTED WITH (FROM INTO 6 PIECES. 1x6, _• ) WAS WHERE DID THE 8 COME FROM? I T CAME FROM THE FOUR PIECES OUT OF THE 6 (FROM t THE 4x2, ) THAT I STARTED WITH WERE CUT INTO 2 PIECES EACH. WHY WERE THE ORIBINAL HALVES CUT INTO 6 PIECES EACH? BECAUSE THE OTHER DENOMINATOR WAS 6. WHY WERE THE ORIGINAL SIXTHS CUT INTO 2 PIECES EACH? Expect the answer: Because the other denominator was 2. P* / SO, IN COMPARING I OR 1x6 AND TO COMPARE 4 AND •£ , I AM REALLY COMPARING 6 AND 8, 4x2. 4 AND T , I SAY CUT 1x6 4 4x2 , SO 4r ^ & . 254 / SUPPOSE I WANT TO COMPARE 2 * WITH J TO FIND WHICH IS GREATER. I CAN RENAME THESE AS EQUIVALENT FRACTIONS WITH THE SAME DENOMINATOR. WHAT FRACTIONS WOULD I USE? Expect the answers: 5~ 7b and lO I CAN CHECK WITH A DIAGRAM: 5 THEN I NOTICE THAT I AM COMPARING -j WITH j- Q WHICH IS GREATER? Expect the answer -yi BUT IN COMPARING OR 1x5 AND 3x2. AND , I AM REALLY COMPARING 5 AND 6, ^ REMEMBER, THAT 1x5 TELLS ME THAT I ORIGINALLY HAD 1 PIECE WHICH WAS SUBDIVIDED INTO 5, AND THE 3x2 THAT I ORIGINALLY HAD 3 PIECES EACH SUBDIVIDED INTO 2. THE SUBDIVISIONS ARE NOW ALL EQUAL SO I ONLY NEED COUNT THE NUMBERS OF EACH TO TELL WHICH FRACTION IS GREATER. SINCE 1x5 4 3x2, THEN X ^ A . WHICH OF THESE TWO FRACTIONS IS GREATER: OR J ? HOW CAN WE TELL? Expect the answer: change both i n t o twentieths and then see i f the numerator of the f i r s t i s greater than the one of the second. multiply Or, expect: 3x5 and compare i t to 4x2. NOW WE HAVE TWO ALTERNATIVES. WE COULD CONVERT BOTH FRACTIONS TO TWENTIETHS AND COMPARE LIKE SO: 255 OR ELSE WE MIGHT SIMPLY NOTICE THAT THIS IS EXACTLY THE SAME AS 3x_ WITH COMPARING 4x2, SINCE 3x5 TELLS ME I ORIGINALLY HAD 3 PIECES, EACH OF WHICH WAS CUT INTO FIFTHS AND SO NOW I HAVE 3x5, AND Z-xft, THAT I ORIGINALLY HAD 2 PIECES, EACH OF WHICH WAS CUT INTO FOURTHS, AND SO I NOW HAVE OF THE SAME SIZE. 2x4 PIECES, ALL OF THESE NOTICE THIS IS THE SAME AS COMPAING THE NUMERA- TORS IN THE ABOVE METHOD. CAN YOU SEE WHY THIS IS CALLED THE CROSS-PRODUCT RULE FOR COMPARING FRACTIONS? I TAKE THE PRODUCT ACROSS THE FRACTIONS AND COMPARE -7j.^~§ THESE: FOR EXAMPLE, IN I COMPARED 3 AND 5 4 3x6 WITH 4x5 , WHICH COMES FROM Ij^-Q • Ask the students to f i n d the larger i n each of these pairs by using the cross product r u l e . Have a student show each of these on the board diagrammatically explaining why the r u l e works. h 3 T OR 4 J- OR 3 <___ — — Suggested end of day 5» 256 Comparison of Fractions Using the Cross-Product Outline f o r approach a: WE WILL NOW LEARN A WAY TO DECIDE WHETHER A FRACTION IS MORE THAN 7 OR LESS THAN A GIVEN WHOLE NUMBER. FOR EXAMPLE, WHETHER j IS GREATER THAN OR LESS THAN 4. BUT TO DO THIS, WE MUST FIRST DO SOME REVIEWING. I WILL CALL OUT SOME MULTIPLICATION QUESTIONS. Ask the following questions: 6x2 7x5 9x8 2x8 9x6 I f there i s much d i f f i c u l t y i n answering these questions on the part of the class as a whole, then apply an argument involving the d i s t r i b u t i v e p r i n c i p l e l i k e the following one: To i l l u s t r a t e : 6x2 = 3x2 5x5 = 2x5 + 3 x 2 = 6 + 6 = 12 + 2x5 + 1 x 5 = 10 +10 + 5 = 25 Do not use diagrams to i l l u s t r a t e these. If the student has trouble i n breaking up the f i r s t number into only two addends, l i k e 6 into 3+3. allow him to use more addends which are smaller, such as 6 into 2+2+2. r _i BECAUSE WE ARE DEALING WITH FRACTIONS, WE HAD BETTER REMEMBER SOME OF OUR FRACTION WORK, AS WELL. 257 Go over items 27-32 on the pretest. Read each item and ask f o r an answer. Discuss, i n p a r t i c u l a r , that a f r a c t i o n can be renamed i n terms of a m u l t i p l i c a t i o n statement: 3 X = X + X + _ 3 X x r ONE OF THE PROPERTIES OF MULTIPLICATION WITH WHICH WE ARE FAMILIAR IS THIS: IF WE MULTIPLY ANY NUMBER BY ONE, WE DON'T CHANGE IT. FOR EXAMPLE, 1 x 8 = 8. 2 THIS WORKS WITH FRACTIONS ALSO. FOR INSTANCE, BUT 1 HAS MANY NAMES. FOR INSTANCE, 1 = SO, IF 1 x -| = ^ , THEN 4 x X 4 x 2 l x | = 4 3 = 3; 43 + . =4x4. NOTICE THAT IT DID NOT MATTER WHAT NAME OF 1 I CHOSE TO USE; I COULD MULTIPLY BY THAT NUMBER AND NOT CHANGE THE OTHER NUMBER IN THE PRODUCT. WE HAVE ALREADY NOTICED THAT ANOTHER WAY OF WRITING A FRACTION IS AS A MULTIPLICATION EXPRESSION. 6 7 FRACTION LIKE _ , / / +? + 7+£ + IN PARTICULAR, A SINCE IT IS THE SAME AS wncn i s s i x ONE-EIGHTHS . SIMILARLY OR f s~ _ - J.+J+J. ^ z ^ + + 2 . + + J. + ± + J~+J. + JV , 2- Z- ^+ + + + 2 _ o „ / - o x -£• SO IF WE WANT TO FIND EVEN MORE NAMES FOR THESE FRACTIONS INVOLVING MULTIPLICATION, WHAT WE MIGHT DO IS TO MULTIPLY ANY OF THESE NAMES BY SOME FORM OF 1. 1 = o / x 1 OR = 3 x | x (2 x X ) OR = 3 x / x (4 x ) Z / r FOR EXAMPLE, WE MIGHT WRITE: 258 THIS WILL BE USEFUL LATER WHEN WE ARE LOOKING FOR OTHER NAMES FOR FRACTIONS TO MAKE IT EASIER TO COMPARE THEM. ANOTHER QUESTION WE MIGHT ASK ABOUT FRACTIONS IS HOW WE ARE GOING TO DECIDE WHICH OF TWO FRACTIONS IS THE GREATER IF THEY HAVE THE SAME DENOMINATOR. LET'S INVESTIGATE THIS. Go over items 33-35 on the pretest. Point out that i n comparing, e.g. 5x9 with 4x9, we know that 5^9 i s greater, since m u l t i p l i c a t i o n as r e peated addition implies that 5x9 = 9+9+9+9+9 4x9 = 9+9+9+9 NOW, JUST AS 82 x 59 ? §0 x 59 , whereas only. OR 7_8 x 23 > 4 J x 23, WE CAN MAKE STATEMENTS ABOUT FRACTIONS. SUPPOSE I AM COMPARING X s « j. TO £• . I CAN REWRITE THESE AS: ^ * % " 5 * <• CERTAINLY, 5 TIMES A QUANTITY IS GREATER THAN 4 TIMES THAT SAME QUANTITY, SO , JL 7 ^ . SO TO COMPARE FRACTIONS WITH THE SAME DENOMINATOR, WE CAN REWRITE THEM AS MULTIPLICATION EXPRESSIONS AND THEN COMPARE. ? FOR EXAMPLE, WHICH IS GREATER: Expei it the answer since 2= OR 4 while "7 7 IF ONE FRACTION IS GREATER THAN ANOTHER, AS Z WITH 1 , THEN WE WRITE: 9 7 _T 7> ?< IS IN COMPARISON 259 NOTICE THAT IF ONE FRACTION IS GREATER THAN ANOTHER, IF WE REVERSE THE ORDER IN WHICH WE WRITE THE COMPARISON SENTENCE, WE GET A SENTENCE INVOLVING A "LESS THAN" COMPARISON. 7^7 FOR EXAMPLE, WE CAN SAY BE CAREFUL THAT THE OPEN END OF THE OR -| ^ ^ ? SYMBOL IS POINTING TOWARD THE GREATER NUMBER. WHICH FRACTION IN EACH OF THESE PAIRS IS LARGER? 3 WHY? B OR f I OR £ OR i I _j= Expect answers: ^ ^ ; ; WE ALL KNOW THAT I CAN FIND A LOT OF FRACTION NAMES TO REPRESENT A GIVEN FRACTION. FOR EXAMPLE, THE FRACTION i = 4 CAN ALSO BE REPRESENTED AS : ^ IN THE SAME WAY THERE ARE MANY DIFFERENT EQUIVALENT FRACTIONS OR EXPRESSIONS TO REPRESENT THE NUMBER 1. WE KNOW THAT -j + = \ = 1 SINCE WHAT WE MEAN BY ONE-HALF IS THAT TWO OF THEM MAKE ONE. M i l l 4 + 39 + ij. + ij. WE KNOW THAT 4 - =1 SINCE WHAT WE MEAN BY ONE-FOURTH IS THAT FOUR OF THEM MAKE ONE. CAN YOU THINK OF AT LEAST FOUR MORE NEW FRACTIONS, ALL OF WHICH ARE EQUIVALENT TO 1? CAN YOU WRITE THEM AS MULTIPLICATION EXPRESSIONS? Expect the answers l i k e : -j or ^ or ^ ; 5 x ^ or 6 x 7 ^ 260 ** Here the student w i l l learn how to compare a given f r a c t i o n with 1. Ie w i l l , i n particular, learn that any f r a c t i o n whose numerator i s smaller than i t s denominator i s less than 1. ** I WANT TO BE ABLE TO COMPARE FRACTIONS TO WHOLE NUMBERS, SO I MIGHT AS WELL START BY COMPARING FRACTIONS WITH 1. HOW DO I TELL IF A FRACTION LIKE ^ 3 IS GREATER THAN 1 OR LESS THAN 1 ? WELL, IF £ IS GREATER THAN 1, THAT WOULD MEAN THAT I COULD CHANGE 1 INTO THIRDS AND THEN COMPARE THE CHANGED NAME FOR 1 WITH £ , 3 HOW DO I GET AN EQUIVALENT FRACTION TO 1 IN THIRDS? REMEMBER WHAT WE MENTIONED BEFORE ABOUT GETTING NAMES FOR 1. Expect the answer: 3 _i = x Jlr 3 3 WE CAN TAKE OUR ONE UNIT AND WRITE IT IN THIRDS. WE KNOW THAT 1 J IS THREE THIRDS SO THAT NAME FOR 1 IS 3 3x X 3 ~ 3 = 1. WE SAY THAT ANOTHER * i WE KNOW THAT 4 3V ^I 3 THAN ONLY 3 SINCE 5x SOMETHING HAS TO BE GREATER THAT SOMETHING. HOW CAN WE COMPARE ^ AND 1 FOR SIZE? IT MIGHT BE CLEARER IF WE CHANGED THE ONE INTO A FRACTION INVOLVING FOURTHS. IT IS VERY EASY NOW TO TELL WHICH IS GREATER. ALL THAT WE NEED TO DO IS TO COMPARE THE NUMERATORS OF THE FRACTIONS. THE NUMERATORS ARE 2 AND 4. BECAUSE 2 IS LESS THAN 4, WE KNOW THAT 261 — ^ MUST BE LESS THAN THAT IS, 2x M ^ ^ . IS LESS THAN 4x . T NOTICE THAT IN EACH CASE, WE CONVERTED 1 TO A FRACTION WITH THE SAME DENOMINATOR AS THE OTHER FRACTION. WHEN WE HAD 4p FOR THE FRACTION, WE CHANGED 1 TO J 1 TO ± . WHEN WE HAD ^ , WE CHANGED 3 THEN ALL WE HAD TO DO WAS TO COMPARE NUMERATORS. WE CHECKED TO SEE IF THE NUMERATOR OF THE FRACTION OTHER THAN 1 WAS GREATER OR LESS THAN THE NUMERATOR OF THE FRACTION WHICH WAS EQUIVALENT TO 1. BUT WHAT IS THE NUMERATOR OF THE FRACTION EQUIVALENT TO 1 IN EACH OF THOSE CASES? Expect the answer: three or four, or the same as the denominator. IN BOTH CASES, THAT NUMERATOR WAS EQUAL TO THE DENOMINATOR OF THE FRACTION EQUIVALENT TO 1 AND ALSO TO THE DENOMINATOR OF THE OTHER FRACTION. THIS MAKES SENSE SINCE FIRST, WE PICKED THE DENOMINATOR OF THE FRACTION EQUIVALENT TO 1 TO MAKE IT HAVE THE SAME DENOMINATOR AS THE OTHER FRACTION, AND SECOND, THE NUMERATOR OF A FRACTION EQUALS ITS^DENOMINATOR WHEN THE FRACTION IS ANOTHER NAME FOR 1. SO IF I AM COMPARING THE NUMERATOR OF THE ORIGINAL FRACTION WITH THE NUMERATOR OF THE NEW FRACTION THAT IS EQUIVALENT TO 1, THAT IS THE SAME AS COMPARING THE NUMERATOR OF THE ORIGINAL FRACTION TO ITS DENOMINATOR. 262 LET'S CHECK, TO COMPARE j AND COMPARED 1 SAID I SAID TO 3x OR 5 7 3, AND, THEREFORE, TO COMPARE 2 x i 5x 1 WITH 1, WE CHANGED 1 INTO THIRDS 5 TO | ; 1. WITH 1, I CHANGED 1 INTO ^ WITH 4 x 77 OR 3, AND COMPARED 2 TO 4. 2 ^ 4,AND, THEREFORE, 4 < ' 1 T LET'S TRY THIS PROCEDURE WITH COMPARING OR THAT TO 1. DO YOU EXPECT 5 Expect the answer: TO COMPARE y WITH 1, I COULD EITHER: (a) FIND AN EQUIVALENT FRACTION TO 1 WITH DENOMINATOR 5 AND COMPARE ^ TO THAT EQUIVALENT FRACTION, OR (b) I COULD COMPARE THE NUMERATOR OF THE FRACTION, 6, TO THE DENOMINATOR, 5. SINCE 6 7 5, THEN J r? 1. BE SURE THAT YOU UNDERSTAND THAT ALTHOUGH I AM USING A SLIGHTLY DIFFERENT METHOD IN (a) AND (b), I AM STILL COMPARING THE SAME TWO NUMBERS AND WILL ALWAYS GET THE SAME ANSWER FOR THE COMPARISON. THAT IS, HERE, IF I USED PLAN (a), I WOULD SAY THEN 6 xjz. > JL 5x 5 SINCE 6 7 5. ^ = 1 , AND THEREFORE, k ? 1. Ask the students to use each of techniques a and b to f i n d out which f r a c t i o n i s greater i n each of the following p a i r s . I f any student t r i e s to answer i n terms of whether the f r a c t i o n i s proper or improper, explain that he i s correct, but that you would l i k e him to t r y to show that your 263 techniques also work. * 3 i 7 r• i. •V i i i Ask four students t o come to the board to show both of t h e i r explanations f o r each of the four questions. Suggested end of day 1. ** Here the student w i l l learn how to compare f r a c t i o n s to whole numbers other than 1 by f i r s t learning a way to rename those whole numbers as equivalent f r a c t i o n s . ** N6W THAT WE KNOW HOW TO COMPARE FRACTIONS TO 1, WE WOULD LIKE TO SEE IF WE COULD COMPARE THESE FRACTIONS TO OTHER WHOLE NUMBERS. JUST AS BEFORE, WE MIGHT TRY TO FIND FRACTION NAMES FOR THESE WHOLE NUMBERS SO THAT IT MIGHT BE EASIER. TO COMPARE THEM WITH THE FRACTIONS WE ARE GIVEN. SO NOW LET'S SEE HOW GOOD WE ARE AT RENAMING WHOLE NUMBERS OTHER THAN 1 AS FRACTIONS. SUPPOSE WE WANT ANOTHER NAME FOR 2. 2x1 ONE WAY IS TO RENAME 2 AS AND USE ANOTHER NAME FOR 1. A review of the review on t h i s topic might be appropriate here. f FOR EXAMPLE, I MIGHT WRITE: 2 = 2 x (8 x 1 ) = (2 X = 16 x . 8) / X ^ = "f -— 264 ON THE OTHER HAND, I MIGHT WRITE INSTEAD: 2 = 2 x 1 = 2 x ( 3 x | ) = (2 x 3) x X = 6 x 3 X 3 3 WHAT OTHER RENAMINGS FOR 1 MIGHT I USE? Accept any answer where the one i s rewritten as a number times one over or 6 x that number, e.g. 4 x 2 ! J, ^ WHAT DO YOU NOTICE ABOUT THE NUMERATORS OF OUR ANSWERS AS COMPARED TO THE DENOMINATORS? Expect the answer that each numerator i s twice as much as the denominator. I f no one says t h i s , go on with the following anyway. IN EACH SITUATION, WE HAD SOMETHING LIKE = (2 x 9) x -jf 2 = 2 x (9 x | ) 2 = 2 x(10 x J- ) = (2 x 10) x i OR JO /o THEREFORE, OUR NUMERATOR WAS TWICE OUR DENOMINATOR. WHAT WOULD YOU PREDICT ABOUT THE NUMERATOR AS COMPARED TO THE DENOMINATOR IN FRACTIONS EQUIVALENT TO 3? Expect the answer: the numerator w i l l be three times as large. LET'S CHECK. ONE WAY TO GET A FRACTION EQUIVALENT TO 3 IS TO REWRITE 3 AS 3x1 AND THEN RENAME 1 . 3 = 3 xl = 3 x (2 x J~ ) (3 x 2) x i = 6x1 2- z = k 2- FOR EXAMPLE, I MIGHT WRITE: 265 NOTICE THAT THE NUMERATOR IS 3 TIMES THE DENOMINATOR. DOES ANYONE ELSE HAVE ANOTHER FRACTION NAME FOR 3? 7 X or II Expect an answer l i k e : or /$" 5 . LET'S SEE IF WE CAN CHECK THESE BY RENAMING Write, e.g., f o r _ /z. i ~3 for 3 = 3x1 = 3 x (3 x ~ "9 3 = 3x1 ) = 3 x (4 x = (3x3)x ' ) = (3 x 4_ x ^ = 12 x -l SUPPOSE I AM TRYING TO FIND A FRACTION EQUIVALENT TO 10. WHAT DO YOU SUPPOSE WE MIGHT GUESS ABOUT THE RELATIONSHIP BETWEEN THE NUMERATOR AND THE- DENOMINATOR? Expect the answer: the numerator w i l l be 10 times as large as the denominator . LET'S SEE IF WE WERE RIGHT. SUPPOSE WE WANT THE DENOMINATOR TO BE 3. SINCE WE PREDICTED THAT THE NUMERATOR WILL BE 10 TIMES AS LARGE AS THE DENOMINATOR, WE SHOULD GET A FRACTION ?2 FOR 3 OUR ANSWER. WE CAN WRITE: 10 = 10 x 1 = 10 x (3 x £ ) = (16 x 3) x I Ask the students to work out equivalent fractions f o r each of the following 266 whole numbers so that the f r a c t i o n s have the given denominator. 4 WITH DENOMINATOR 5 7 WITH DENOMINATOR 4 5 WITH DENOMINATOR 2 8 WITH DENOMINATOR 3. Ask a student to come to the board f o r each problem showing his answer and the accompanying renaming. Then have students t r y to solve the following questions. I f they have trouble, allow them to go back to a renaming argument. Have a student read out his answers and make sure that everyone understands how to get the correct answers. Sugggested end of day 2. ** Here the student w i l l learn how to compare a f r a c t i o n with any whole ? number, f o r example, to compare ^ with 4. * * WE ALREADY KNOW HOW TO COMPARE A FRACTION WITH 1. NOW WE WILL TRY TO COMPARE FRACTIONS TO OTHER WHOLE NUMBERS. TO 5. SUPPOSE I WANT TO COMPARE J AS BEFORE, IF WE TURN 5 INTO THIRDS, IT WILL BE EASIER TO COMPARE IT TO % SINCE IT IS VERY SIMPLE TO COMPARE FRACTIONS WITH THE SAME DENOMINATOR. 26? THE SAME PRINCIPLE APPLIES NO MATTER WHAT THE DENOMINATOR. IF TWO FRACTIONS HAVE THE SAME DENOMINATOR, WE NEED ONLY COMPARE THEIR NUMERATORS TO DECIDE WHICH IS GREATER. I f you f e e l that the students are s t i l l having d i f f i c u l t y with this 5" y idea, go back to questions l i k e : / 5" 1 so, 7x = ?x T L 5x c„ 7 J. JL l J. + i ~f versus J. : I I J J- + l J + + J J. + + T I NOW LET'S GET BACK TO OUR PROBLEM OF COMPARING - 5 TO 5 . SUPPOSE I WANT TO CHANGE 5 TO AN EQUIVALENT FRACTION WITH DENOMINATOR 3 . WHAT DO I GET? Expect the answer: -=- NOTICE THAT ICCOULD WRITE THIS AS 5VJ -5- SINCE WE ALL KNOW THAT THE NUMERATOR IS 5 TIMES THE DENOMINATOR. THEN, WHICH IS GREATER, Expect the answer: Lt "J OR O R 5^ 3 ? Z£ NOTICE THAT WE MIGHT GO THROUGH A RENAMING ARGUMENT TO CHECK: 5 = 5 x 1 = 5 x ( 3 x { ) = (5 x 3) x JL /r = 15 x JL AND SO WE SEE THAT & 7 5 3" SINCE SUPPOSE WE WANT TO COMPARE £ 3 16 7 15, PR TO l*. FOR k WOULD MAKE THIS PROBLEM EASIER? 16 > 5 x 3 . WHAT EQUIVALENT FRACTION 268 Expect the answer: -5- . NOTICE THAT THIS EQUIVALENT FRACTION TO 4 HAS DENOMINATOR 3 AND 4x3. NUMERATOR THEN, WHICH IS GREATER, _T OR 3 Expect the answer: ¥xj ? 3 . 3 WE CAN RENAME 4 TO CHECK: 4 = 4x1 = 4x (3x 1 ) = (4 x 3) x X = 12 x THEN, £ = • 3 j f ^ 4 SINCE 3 TO COMPARE I? 5 < 12 3 . OR 5 < 4x3 . TO 7, WHAT DO YOU SUGGEST DOING? Expect the answer: Change 7 into and then compare 50 with 56 NOTICE THAT WE CAN RENAME 7: 7 = 7x1 = 7 x (8 x = (7 x 8) x ~ 5 6 x £ ) J? 7 t AND WE SEE THAT WE ARE COMPARING 50 WITH §6 OR 50 WITH 7x8. Ask the students to compare; Ask three students to come to the board to show t h e i r solutions as 269 renamings. For each problem, be sure to restate the answer so that can be seen as comparing the f i r s t f r a c t i o n ' s it numerator with the product of i t s denominator and the whole number, e . g . for the f i r s t problem, as 19 compared to 3x7 • WHEN WE EXAMINE WHAT WE HAVE DONE SO FAR, WE SEE THAT WE ALWAYS CHANGED THE WHOLE NUMBER TO AN EQUIVALENT FRACTION WITH DENOMINATOR EQUAL TO THE DENOMINATOR OF THE GIVEN FRACTION. THEN WE COMPARED THE NUMERATOR OF THE GIVEN FRACTION TO> THE NUMERATOR OF THIS FRACTION EQUIVALENT TO THE WHOLE NUMBER. HOWEVER, BECAUSE OF THE WAY OF GETTING EQUIVALENT FRACTIONS TO WHOLES, WE SEE THAT THIS IS EXACTLY THE SAME AS COMPARING THE NUMERATOR OF THE GIVEN FRACTION WITH THE PRODUCT OF THE DENOMINATOR OF THAT FRACTION AND THE WHOLE NUMBER. FOR EXAMPLE, TO COMPARE j TO COMPARE y I 55 TO 5, WE COMPARED TO 4, WE COMPARED TO 5 = TO 4 = I TO i i TO 3 5 TO 16 TO 5x3. 4x3. ^ i*3 3 SO THAT TO COMPARE ANY FRACTION TO A WHOLE NUMBER, I CAN FIND WHOLE NUMBERS TO COMPARE INSTEAD. JUST AS IN COMPARING ^ AND 15 OR 16 AND TO 5, I COMPARED THE WHOLE NUMBERS 16 5x3. For each of the following, ask the students to write a whole number i n e q u a l i t y they could solve to f i n d the answer to the question of which of the two numbers i n the pair i s greater. 270 25" AND 4 ^ Ht- AND 3 ii AND 5 Have threi) students Come t o the board and show t h e i r answers. rename t o show the v a l i d i t y . Expect answers: 25> 14 ^ 19/ They can 25 > 4x6 6x4 5x3 4x5 or 14^ 19 ^ 3x5 5x4 Be sure t o stress the importance of not changing around the numbers i n f i l l i n g i n the i n e q u a l i t y s i g n . & 7 5x3, so 5 ^ / For example, t o f i l l i n - j ^ 5 ; but t o f i l l i n 5 ^ 5 . I say 5x3 ^ 1 6 , ^ 1 . J Hand out worksheet 1 to the students t o complete. Suggested end of day 3« 5. I say so Comparison of Fractions Using the Cross-Product Outline f o r approach A: NOW THAT WE KNOW HOW TO COMPARE A FRACTION TO A WHOLE NUMBER, WE ARE GOING TO LEARN HOW TO COMPARE TWO FRACTIONS. BUT, AGAIN, WE JUST WANT TO REMIND OURSELVES OF A FEW THINGS BEFORE WE GO ON. 4 FIRST OF ALL, LET'S ALL REMEMBER WHAT WE MEAN BI A FRACTION LIKE ONE MEANING OF ^ IS HOW COULD I INTERPRET 1 Js Expect the answer: J + _f + J + = 4 x ^ . AS A MULTIPLICATION EXPRESSION? . 3 x -/• . . (fi HOW COULD I INTERPRET £ AS A MULTIPLICATION EXPRESSION? 3 *Expect the answer: —.— • • —• 4x | . WELL, THIS SEEMS REASONABLI EASI, SO LET'S GO ON TO THE NEXT BIT OF REVIEWING. HOW CAN WE TELL, USING A MULTIPLICATION EXPRESSION, WHICH OF TWO FRACTIONS WITH THE SAME DENOMINATOR IS GREATER? LET'S LOOK AT THIS PROBLEM. SUPPOSE I WERE COMPARING 8x9 WITH 7x9. WHICH IS GREATER? Expect the answer: 8 x9. NOW, JUST AS 8x9 IS GREATER THAN 7x9 OR 78x4 54 x 4, WE CAN MAKE STATEMENTS ABOUT FRACTIONS. . IS GREATER THAN — 272 SUPPOSE I AM COMPARING ^ TO ^ . IC AN REWRITE THESE AS: CERTAINLY, 6 TIMES A QUANTITY IS GREATER THAN ONLY 5 TIMES THAT QUANTITY, SO i . > 5 . 3> 3 SO TO COMPARE FRACTIONS WITH THE SAME DENOMINATOR, WE CAN RENAME THEM AS MULTIPLICATION EXPRESSIONS AND THEN COMPARE. Ask the students to decide which of J orii 5 5 m u l t i p l i c a t i o n expressions. i s greater by renaming as Have one student explain his answer. repeat the procedure f o r comparing J~ and ^ and Then and FINALLY, WE WANT TO EXAMINE SOMETHING ABOUT FINDING FRACTIONS EQUIVALENT TO A GIVEN ONE. THERE ARE A LOT OF WAYS OF CHANGING THE EXPRESSION FOR A NUMBER WITHOUT CHANGING THE ACTUAL NUMBER. FOR EXAMPLE, I CAN REWRITE: 7x9x6 AS 7x6x9. THIS IS A CHANGE, BUT IS STILL ANOTHER NAME FOR THE SAME NUMBER. ANOTHER THING I CAN DO IS TO MULTIPLY A NUMBER BY 1 . FOR 8 = 8 x 1 . EXAMPLE, SOMETIMES, WE USE A MORE COMPLICATED FORM OF 1 , LIKE PERHAPS, = 2 x iZ- , SO I MIGHT RENAME SUPPOSE I WANT AN EQUIVALENT TO I CAN REWRITE THIS AS: OR AS K = 11 3 x i x (2 x i - ). Z. 3 IL = n _5 8 = 8 x (2 x x j . ). Ask the students to f i n d other names of the following by renaming i n 273 terms of m u l t i p l i c a t i o n by some form of 1. Accept any answers which demonstrate renaming of 1 as a number times one over that number, e.g. by m u l t i p l i c a t i o n by 2 x J_ or 5 x Z Suggested end of day 4. ** Here the student w i l l review the idea that two f r a c t i o n s with the _> same denominator can be compared by examining t h e i r numerators, e.g.-£ 7~- since 6 > 3 k. ** 3 I WANT TO BE ABLE TO COMPARE ANY TWO FRACTIONS, BUT I MIGHT AS WELL START BY COMPARING FRACTIONS WITH THE SAME DENOMINATOR. SUPPOSE I WANT TO COMPARE ^ WITH ^ . THIS IS FAIRLY EASY. ALL I HAVE TO DO IS TO REWRITE EACH AS A MULTIPLICATION EXPRESSION AND SEE WHICH IS GREATER. \ = 7xX IN THE FIRST CASE, I AM TAKING SEVEN GROUPS OF A CERTAIN QUANTITY: (ONE-FOURTH), WHEREAS IN THE SECOND CASE, I AM TAKING ONLY FIVE GROUPS OF THAT SAME QUANTITY. BECAUSE WE ARE TAKING MORE OF THE SAME 'OBJECTS', I CAN TELL THAT SEVEN ONE-FOURTHS IS GREATER THAN FIVE ONE-FOURTHS AND WE CAN WRITE WHAT IF I WERE TO COMPARE _ f TO S Expect the answer: z~ j» ? Z WHICH IS GREATER? 4 2?4 LET'S RENAME TO CHECK; ' BECAUSE - A ' 5<^6, WE CAN SEE THAT £ (> . L Z 1 . Ask the students to name the greater f r a c t i o n i n each of these p a i r s . 2 S ~q AND <f * Ami v iff 5 AND i - Have three students cfome to the board and rename to explain t h e i r answers. ** Here the student w i l l learn to generate equivalent expressions f o r two given fractions such that the new expressions have a common term, f o r exampie, f o r and ^ , to produce 18 x ( Jj x as equivalent expressions f o r purposes of comparison. ^ ) and 20 x ( J x ^ ) ** NOW THAT WE ALREADY KNOW A BIT ABOUT COMPARING SOME FRACTIONS, LET US TRY TO SEE IF WE CAN USE THIS SAME TECHNIQUE ON ANY FRACTIONS. EASIER? IS IT EASY TO DECIDE WHETHER J 7 I ? CAN WE MAKE IT SUPPOSE WE COULD REWRITE BOTH OF THESE FRACTIONS SO THAT THEY BOTH HAVE THE SAME DENOMINATOR. THAT WOULD MAKE IT A LOT EASIER. WE ALREADY KNOW THAT A WAY TO GET EQUIVALENT NAMES FOR A FRACTION IS TO REWRITE IT AS A MULTIPLICATION EXPRESSION AND THEN MULTIPLY THAT BY SOME FORM OF ONE. J. FOR EXAMPLE, TO CHANGE 3 4=2x4 3 = 2 x 4 * ( 2 x : f 3 AND SEE THAT INTO ANOTHER NAME, I MIGHT REWRITE AS: o3 L 3 z- = 4 x ( i x J, ). 3> *~ ) = (2 x 2) x ( -i x 3 2 ) 275 _ NOW SUPPOSE I WERE TRYING TO COMPARE ~ WITH f - . ONE WAY TO COMPARE THESE IS TO FIND OTHER NAMES FOR EACH SO THAT THE TWO NEW NAMES HAVE A COMMON PART WITH DIFFERENCE IN THE MULTIPLIER ONLY. SO, I REWRITE: 2 x = ^ 3 x = ^ . SINCE I CAN MULTIPLY BY ANY FORM OF ONE AND NOT CHANGE A NUMBER, I CAN FIND OTHER NAMES FOR AND % 3 j = 2x ^ * = 3 X X = 2 x J - x ( 4 x ^ ) =3x = 2 x 4 x ( ^ x ^ ) = 3 x 3 x ( j = 8 x ( j x ^ ) NOW NOTICE THAT THE 4 4 , LIKE SO: AS 9 x ( X FORM OF 1. x _ ^ x(3xj ) x ^ ) = 9 x ( ^ x X ) 8 x ( X IS REWRITTEN AS x X ) AND THE ) . ALL I DID WAS TO MULTIPLY EACH BY A I MULTIPLIED THE j 4x| BY AND THE ^ IN BOTH EXPRESSIONS, I GET A TERM WHICH INCLUDES A BY X x 3 x / . J. 3 f NOTICE THAT IF I.AM COMPARING A FRACTION WITH DENOMINATOR 3 TO ONE OF DENOMINATOR 4, I CAN MULTIPLY THE FIRST FRACTION BY , AND THE SECOND BY 3 x ^ , AND THE SAME EXPRESSION IN EACH EXPRESSION. 3 SUPPOSE I WANT TO COMPARE SIONS SHOULD I USE? i Z. = lX „ " j. 1 _r WITH J - X xX 3 4 x L 4 OCCURS "f . WHAT EQUIVALENT EXPRES- WE CAN BEGIN BY REWRITING: ~ = 2 x 5 5 THEN I CAN MULTIPLY EACH OF THESE BY A FORM OF 1, SO AS TO GET EQUIVALENT FRACTIONAL PARTS IN EACH. THE FIRST I MULTIPLY BY 276 5 x 1 2 x £ , LIKE SO: AND THE SECOND BY = l x | x ( 5 x | = 2xX.x( ) = (2 x 2} x (/ x ' ) 2T = 4 X ( L s ( l x 5 ) x ( ^ x | ) = 5x( THEN, <= i 5 x ( 2- i Z~ COULD EASILY COMPARE x ^ 5 X ) AND AND ^ i = 4 x ( i x 2 - 5 7? ) AND WE . 5 x - £ - AND AGAIN, NOTICE THAT I MULTIPLY THE FIRST EXPRESSION BY THE SECOND BY 2 xi- £ x ^ i SO THAT BOTH EXPRESSIONS HAVE A TERM ) AND ONLY DIFFER IN THE NUMBER OF THESE THAT WERE THERE, WHAT DO YOU EXPECT TO BE THE COMMON EXPRESSION IN FINDING EQUIVALENTS TO / AND h- x ^ Expect the answer: SO,:AS TO MAKE COMPARISON EASIER? WE CAN RENAME: = = 1 x = 1 x x ( 3 ( l x 3) x ( X =3x( AS x i x i 3- 3 AND SEE THAT, INDEED, I x 4x ( X x J- ^ ) 2 x 3 = 2 x ^ x (2 x 1 i. ) = (2 x 2) x ( ^ x j ) = 4x ( CAN BE REWRITTEN AS X 3 x ( ^ x £ x ) 1 ) ) AND ). Ask the students to attempt to rewrite each of these pairs of fractions as expression which are equivalent to those f r a c t i o n s but with a common part. * AND y T AND j 1 Z 277 i A N D i Have three students show t h e i r work on the board. Make sure the students r e a l i z e that we examine the denominator of the other f r a c t i o n to get the name f o r 1 to be used i n renaming a f r a c t i o n . ** Here the student w i l l learn that X ^ f o r example, 3x5 ^ / o n l y because o n l y w h e n ^ 2 x 6 , a x d ? b x c, ** NOW THAT WE ALREADY REALIZE THAT AN EASIER WAY TO COMPARE TWO FRACTIONS TO DECIDE WHICH IS LARGER IS TO RENAME THEM AS MULTIPLICATION EXPRESSIONS WITH A COMMON PART AND WE HAVE PRACTICED RENAMING FRACTIONS, WE CAN GO ON TO COMPARING THEM. SUPPOSE I WANT TO COMPARE £ WITH £ TO FIND WHICH IS GREATER. I CAN RENAME THESE AS MULTIPLICATION EXPRESSIONS WITH A COMMON PART. WHAT WILL THESE EXPRESSIONS BE? Expect the answers: l x 6 x (i x < ) and 4 x 2 x( X x 4- ). I CAN CHECK THIS: = 1 x = 1 x i- = 4 x x (6 x -£ = ( l x 6 ) x ( = 6 x ( i / x x { ) = 4 x ) i ) x (2 x ^ = (4 x 2) x {X x X = 8 x (X THEN, I NOTICE THAT I AM COMPARING 6 WITH 8. x X ) ) ) WHICH IS GREATER? Expect the answer: 8. BUT WHERE DID THE 6 IN 1x6, 6 x ( X x X ) COME FROM? THE ONE FROM THE ORIGINAL EXPRESSION FOR X MULTIPLYING THAT BY 6 x X 6? IT CAME FROM AND THE 6 FROM . WHERE DID THE 8 COME FROM? IT 278 <L CAME FROM 4x2, THE 4 FROM THE ORIGINAL EXPRESSION FOR THE 2 FROM MULTIPLYING THAT BY 2 x J~ AND . NOTICE THAT THE FRACTION WITH 2 AS DENOMINATOR WAS MULTIPLIED BY 6 x | , SINCE THE OTHER DENOMINATOR WAS 6. WHY WAS THE FRACTION WITH 6 AS DENOMINATOR MULTIPLIED BY 2? Expect the answer: because the other denominator was 2. SO, IN COMPARING ^ AND •£ , I AM REALLY COMPARING 6 AND 8, OR l x 6 AND 4 x 2. AND 4r TO COMPARE ,1 SAY 1 x 6 < 4 x 2, SO SUPPOSE I WANT TO COMPARE WITH ^ i - £ i- TO FIND WHICH IS GREATER, I CAN RENAME THESE BY EQUIVALENT EXPRESSIONS WITH A COMMON PART. WHAT EXPRESSIONS WOULD I USE? Expect the answers: l x 5x ( i x ^ ) and 3 x 2 x( x ^ ) I CAN CHECK: - i * ± = l x ^ x ( 5 x f = (1 x 5) x ( i = 3x ^ ) x £ ) = (3 x 2) x ( ^ ) THEN, I NOTICE THAT I AM COMPARING x (2 x i 1x5 WITH 4x2. WHICH IS GREATER? • Expect the answer: 4x2. REMEMBER THAT 1x5 TELLS ME THAT I ORIGINALLY HAD A MULTIPLE OF 1 OF SOME FRACTION AND THEM MULTIPLIED THAT BY 5 x Jg. AND THE 3x2 TELLS ME THAT I ORIGINALLY HAD 3 TIMES SOME FRACTION AND 279 2 x 4 • THEN BOTH EXPRESSIONS THEN MULTIPLIED BY A PART ( i x NOW HAVE ). SO I NEED ONLY COUNT HOW MANY OF THESE I HAVE FOR EACH. SINCE 1 x 5 < 3 x 2 , THEN I ^ 4 . WHICH OF THESE TWO FRACTIONS IS GREATER: _ Expect the answer: multiply the f i r s t by 5 x L J OR | 1 ? 2. and the second by 4 x -f T 5 or else compare 3x5 with 2x4. NOW WE HAVE TWO ALTERNATIVES. WE COULD CONVERT BOTH FRACTIONS TO EQUIVALENT EXPRESSIONS AND COMPARE THEM LIKE SO: 3x = 2x-4 | = 3 x ^ x ( 5 x f = (3 x 5) x ( M = 2 x ^ ) x £ x ( 4 x X = (2 x 4) x ) ( JL x ^ OR ELSE WEiMIGHT SIMPLY NOTICE THAT THIS IS EXACTLY THE SAME AS COMPARING 3x5 WITH 2x4, SINCE 3x5 TELLS ME I ORIGINALLY HAD 3 TIMES A FRACTION AND THEN MULTIPLED IT BY 2x4 THAT I ORIGINALLY HAD PLIED IT BY OF (j x j 4 x ^ 5 x ^ AND THE 2 x ANOTHER FRACTION AND THEN MULTI- . NOW EACH EXPRESSION HAS SOME MULTIPLE ). CAN YOU SEE WHY THIS IS CALLED THE CROSS-PRODUCT RULE FOR COMPARING FRACTIONS. I TAKE THE PRODUCT ACROSS THE FRACTIONS AND COMPARE THESE. FOR EXAMPLE, IN I COMPARE 3x6 WITH 5x4 ~^ AND ^ WHICH COMES FROM 4fP<^J Ask the students to f i n d the ?larger i n each of these paris by using the cross product r u l e . Have a studentashow each of these on 'the board diagrammatically explaining why the r u l e works. ) ) , 1 OR 7 h OR %• ? * l .OR 2 T. X i £ OR. 3" J Suggested end of day 5. 281 Finding the Square Root of a Fraction Outline for approach p: WE ARE GOING TO LEARN A WAY TO EXPRESS ANY FRACTION AS THE PRODUCT OF TWO EQUAL FRACTIONS ( OR APPROXIMATELY SO). FOR EXAMPLE, WE WILL LEARN THAT JUST AS 16 CAN EE EXPRESSED AS THE PRODUCT OF TWO EQUAL FACTORS, NAMELY 4 x 4 , AS THE PRODUCT OF TWO IDENTICAL FRACTIONS, NAMELY CAN BE EXPRESSED !_ = _fc x _£ . 4 3 3 BUT FIRST WE MUST DO A BIT OF REVIEWING. I AM GOING TO ASK YOU SOME MULTIPLICATION QUESTIONS. Ask the following: 8x5 7x9 4x6 3x3 8x8 If there i s much d i f f i c u l t y i n answering these questions on the part of the c l a s s as a whole, then draw diagrams to i l l u s t r a t e the problems. For example, to i l l u s t r a t e : 3 x5 4x4 x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x Notice that the f i r s t number represents the number of rows and the second number represents the number of columns. Go over items 11-15 on the pretest. In p a r t i c u l a r , have students r e a l i z e 282 that the name of the shaded region i n a figure depends on the number of parts of the same size into which the figure i s drawn and the number of these parts that are shaded i n . For each question, read the question- and ask for the correct answer. This review should go quickly, particu- l a r l y since the students worked with fractions i n the previous u n i t . WE WOULD NOW LIKE TO REVIEW SOME IDEAS ABOUT AREA. REMEMBER THAT THE AREA OF A RECTANGLE TELLS ME THE NUMBER OF UNIT SQUARES THAT FIT ONTO THE RECTANGLE. FOR EXAMPLE, THE AREA OF A RECTANGLE WHICH IS 2 IN. BY 4 IN. IS 8 SQ. IN., SINCE I CAN DRAW A DIAGRAM LIKE: ^ NOTICE THAT I COULD LOOK AT THIS DIAGRAM AS COUNTING 2 GROUPS OF 4 SQUARES EACH, WHICH IS ANOTHER WAY OF SAYING 2 x 4 : c LET'S DO THIS FOR A RECTANGLE WHICH IS 3 IN. BY 3 IN. ( A SQUARE). I CAN DRAW: AND I SEE THAT THE AREA IS 3 x 3 = 9 SQ. IN. IF MY RECTANGLE IS 5 IN. BY 2 IN., I WOULD DRAW: 283 AND THE AREA IS 10 SQ. IN. = 5 x 2 SQ. IN. Ask the students to consider what the areas of rectangles with dimensions 5 by 8 , 3 by 9 , and 8 by 4 would be. Explain that they may always go back to a diagram to f i n d the solutions. C a l l on three individuals to get the answers to these three questions. FINALLY WE WANT TO REMEMBER HOW TO DIVIDE, BECAUSE SOME OF OUR WORK WILL INVOLVE DIVISION. SUPPOSE I WANT TO SOLVE 2639 + 1 3 . HOW DO I BEGIN? I SET UP THE QUESTION,LIKE SO: 13 J 2639 AND I KEEP TAKING CHUNKS OF 13 OUT OF 2639 UNTIL I HAVE USED UP ALL OF THE 2639. MY ANSWER IS THE NUMBER OF CHUNKS I TOOK OUT. SO I CAN TAKE 200 CHUNKS OF 13 OUT FIRST, LEAVING ONLY 3 9 . 13 i 2639 2600 39 __£ 0 200 THEN I CAN TAKE OUT 3 MORE CHUNKS OF 13 AND USE ALL OF THE 2639. 203 SO, 2639 T 13 = 203. Allow the students to solve these two d i v i s i o n questions and have two students show t h e i r r e s u l t s to the c l a s s : 9 )288 20 J4300 AND ** Here the student w i l l learn how to multiply fractions i n order that he might f i n d answersuto problems l i k e n — ^ x H -—^ = It- • ** 284 Draw a large unit square on the board. — x I WANT TO BE ABLE TO FIND ANSWERS TO MULTIPLICATION QUESTIONS WHERE ONE OF THE NUMBERS TO BE MULTIPLIED IS A FRACTION. BEFORE, WE NOTED. THAT AREAS OF RECTANGLES COULD BE FOUND BY MULTIPLYING LENGTH BY WIDTH. REVERSING THIS IDEA, WE MIGHT SUPPOSE THAT MULTIPLYING TWO NUMBERS IS THE SAME AS FINDING AREAS OF RECTANGLES WITH THESE NUMBERS AS SIDE LENGTHS. FOR EXAMPLE, THE ANSWER TO 2 x 5 COULD BE FOUND BY FINDING THE AREA OF A RECTANGLE WITH WIDTH 2 AND LENGTH 5. NOW LET'S APPLY THIS SAME IDEA TO FRACTIONS. SUPPOSE I WANT TO MULTIPLY A FRACTION BY ANOTHER FRACTION. THAT MEANS I WANT TO FIND THE AREA OF A RECTANGLE WITH THESE TWO FRACTIONS AS SIDE LENGTHS. WHAT HAPPENS IF I CUT THE SQUARE (ON THE BOARD) LIKE THIS? WHAT ARE THE DIMENSIONS OF THE RECTANGLES I FORM? I STARTED WITH A 1 BY 1 SQUARE, SO IT HAS AREA 1. Expect the answer: 1 by 4- • WHAT IS THE AREA OF EACH OF THESE RECTANGLES? Expect the answer: ^ 3 . I NOTICE THAT 285 WHAT HAPPENS IF I ALSO CUT THE SQUARE THIS WAY? WHAT ARE THE DIMENSIONS OF THE NEW SMALLER RECTANGLES FORMED? Expect the answer: by . NOW THE AREA OF EACH OF THESE SMLLER RECTANGLES CAN BE RE PRESENTED BY A MULTIPLICATION STATEMENT, NAMELY X x iX • WHAT IS THE AREA OF EACH OF THESE SMLLER RECTANGLES? NOTICE THAT I KNOW THE AREA OF THE ENTIRE SQUARE IS 1 SQUARE UNIT, SO THE AREA OF EACH OF THESE RECTANGLES MUST BE A FRACTION OF THAT AND THE FRACTION IS DETERMINED BY THE NUMBER OF RECTANGLES THERE ARE IN THE FIGURE. HOW MANY RECTANGLES ARE THERE OF DIMENSIONS / x — Expect the answer: 6. THEREFORE, EACH OF THE RECTANGLES HAS WHAT AREA? Expect the answer: SINCE WE ALREADY SAID THIS AREA COULD BE REPRESENTED IN A MULTIPLICATION WAY AS -L , THAT MEANS x _ i x J. Suggested end of day 1. HOW WOULD WE FIND X 4 x J> ? 7 286 WE DRAW A RECTANGLE WITH DIMENSIONS 1 BY 1, LIKE SO: I '/A AND CUT IT; i HOW MANY SMALL RECTANGLES ARE THERE IN THE UNIT SQUARE? WHAT IS THE AREA OF EACH? Expect the answers; 28 and ^ SINCE EACH AREA CAN ALSO BE REPRESENTED AS ^ / THAT 7 WHAT DO YOU THINK Expect the answer: . .. 1 J x J3 x ^ L W I L L BE? 1% ' 4 LET US CHECK WITH A DIAGRAM. I CAN DRAW: AND EACH RECTANGLE, WHICH IS OF DIMENSIONSj BY -£ AREA , THAT MEANS DOES HAVE 7£ SINCE THERE ARE 18 OF THEM IN THE UNIT SQUARE. WHAT ABOUT ~L x 4i Expect the answer: LET'S CHECK. ? 1^ . ICAN DRAW; 287 AND I S E E THAT THERE ARE 36 SMALL RECTANGLES, SO EACH HAS A R E A ^ , BUT SINCE THE DIMENSIONS OF EACH ARE J* BY^ , THEN t 4 2>(* DO YOU NOTICE THAT I N EACH OF THESE QUESTIONS, I F I MULTIPLY •Q BY , I GET A FIGURE WITH 0 x A EACH OF AREA, THEREFORE, FOR |x j 4 TjT^ 7 ? SMALL RECTANGLES I N IT, CHECK BACK TO OUR DIAGRAMS , AND NOW SUPPOSE WE WANT TO MULTIPLY - £ BY I x X 1 . WE KNOW THAT WE CAN FIND THE AREA OF A RECTANGLE WITH THESE DIMENSIONS TO SOLVE OUR QUESTION. SO LET'S START OUT WITH A SQUARE AGAIN. I F WE WANT ONE OF THE DIMENSIONS TO BE — , WE CUT I T SO: 3 •<1 7> THEN THE AREA OF THE SHADED REGION I S THE AREA I WANT. HOW MANY OF THE SMALL RECTANGLES ARE SHADED IN? Expect the answer: 6. NOTICE THAT THE NUMBER I S 2x3 SINCE THERE ARE 2 ROWS EACH OF 3 RECTANGLES SHADED I N . WHAT I S THE AREA OF EACH OF THESE RECTANGLES? 288 Expect the answer: 11 * WE HAVE ALREADY LEARNED THAT SINCE THERE ARE 3x4 OF THESE RECTNAGLES ALTOGETHER, EACH HAS AREA THEREFORE, WE HAVE 12- 2x3 PIECES EACH OF AREA X , SO WE HAVE A TOTAL AREA OF j | . NOTICE THAT THE NUMERATOR OF MY ANSWER TELLS ME THE NUMBER OF SHADED PIECES AND THE DENOMINATOR TELLS ME THE NUMBER OF THE PIECES ALTOGETHER IN THE FIGURE. -2 x ^ LET'S FIND I DRAW: USING THIS APPROACH: '4? '//> THEN THE NUMBER OF SHADED SQUARES IS 3 x 2 . EACH OF THESE SQUARES HAS AREA # SINCE THERE ARE 5 x 3 OF THEM IN THE ENTIRE UNIT SQUARE. THEREFORE, SO I HAVE A TOTAL AREA OF 4 • ID i . x 1 = _f _i WHAT WOULD J_ x x Expect the answer: BE? XQ- ^M. .1 LET'S CHECK WITH A DIAGRAM: WE DO HAVE 4 x 2 SQUARES EACH OF AREA — AREA OF j U . SHADED IN, SO A TOTAL 289 Ask the students to find the following products: Have three students come to the board and diagrammtically explain their answers. Suggested end of day 2, ** Here the student w i l l learn that the square root of a number i s that number which I can multiply by i t s e l f to get the given number; for example, the square root of 9 i s 3 since 3 x 3 = 9» ** SUPPOSE I WANT TO FIND ALL THE NUMBERS WHICH GO INTO 16 EVENLY. ALL I HAVE TO DO IS TO DRAW ALL THE RECTANGLES WITH WHOLE NUMBER SIDES WHICH HAVE AREA 16. innr - It '<oZ r E FROM THESE, I CAN SEE THAT 1,2,4,8, AND 16 ARE THOSE NUMBERS I WAS LOOKING FOR. BUT MORE THAN THAT, I CAN SEE THAT AMONG MY DRAWINGS OF RECTANGLES,| ONLY ONE IS A SQUARE, NAMELY THE 4 BY 4 SQUARE. BECAUSE OF THIS PROPERTY, 4 IS CALLED THE SQUARE ROOT OF 16. WE WRITE THIS: = jl6 . SO, BECAUSE 4 HAS THE PROPERTY THAT 4 TIMES ITSELF IS 16, 4 IS THE SIDE OF A SQUARE WITH AREA OF 16, AND 4 x 4 = 16 MEANS THAT 290 LET'S TRY TO FIND THE SQUARE ROOT OF 2 5 . WE TRY DRAWING ALL THE RECTANGLES WE CAN WITH AREA 25 AND WHOLE NUMBER SIDE LENGTHS. WE CAN ONLY DRAW: S 5 15 ^PIIllHlliililllllHn ONLY ONE OF THESE IS A SQUARE, NAMELY THE RECTANGLE WHICH IS 5 BY 5« THEREFORE, I SAY THAT 5 =>J~25 AND INDEED 5 x ITSELF IS 2 5 . SOME NUMBERS DO NOT HAVE WHOLE NUMBER SQUARE ROOTS. FOR EXAMPLE, TAKE 12. LET US DRAW ALL THE RECTANGLES WITH WHOLE NUMBER SIDES THAT WE CAN THAT HAVE AREA 12. 1 i n 1 k- NOTICE THAT NONE OF THESE IS A SQUARE. WE ALREADY KNOW MANY SQUARE ROOTS. OF 4 IS 2 , SINCE 2 x 2 = 4 AND WE CAN DRAW: WHAT IS THE SQUARE ROOT OF 9? Expect the answer; 3< FOR EXAMPLE, THE SQUARE ROOT 291 AND WE CAN DRAW: Ask the students to c a l l out the square roots of the following: For each, draw the diagram of the square on the board, so that i t i s apparent that a square with side the square root of these numbers has the c o r r e c t area. ** Here the student w i l l learn to apply the idea of square root to f r a c t i o n s . ** SUPPOSE WE ARE LOOKING FOR THE SQUARE ROOT OF A FRACTION, LIKE . THAT MEANS THAT WE ARE LOOKING FOR THE DIMENSIONS OF THAT RECTANGLE WITH AREA ^ THAT HAPPENS TO BE A SQUARE. TO DRAW RECTANGLES WITH AREA 4zB , WE WOULD BE LIKELY TO START OUT WITH A FIGURE LIKE THE ONE BELOW AND PICK 16 RECTANGLES OF IT WHICH WOULD HELP US FORM A SQUARE. WE START WITH PIECES WHICH ARE 25THS. AND TRY TO ARRANGE THEM VARIOUS WAYS TO TRY TO GET A SQUARE. 292 3 4 7 5 NOTICE THAT WE DO GET A SQUARE WHEN THE 16 PIECES ARE ARRANGED IN A 4 BY 4 ARRAY. BUT SINCE EACH PIECE STARTED OUT WITH SIDES 4 BY 4 ARE ^ , THAT MEANS THE DIMENSIONS OF MI SQUARE WITH AREA II? i BY jt x , SO - ^ li ' THIS SEEMS REASONABLE; WHEN I MULTIPLY 4 It X , I GET SUPPOSE WE WERE TRYING TO FIND THE SQUARE ROOT OF Jf . WE MIGHT START WITH A DIAGRAM LIKE SO: AND TRY TO ARRANGE 4 OF THESE RECTANGLES IN A SQUARE ARRANGEMENT. 3 ± 3 3 3 AND WE SEE THAT A 2 BY 2 ARRAY OF THESE SQUARES WILL DO. EACH PIECE STARTED OUT WITH SIDES | DIMENSIONS OF MY SQUARE WITH AREA f ARE T f f BI j SINCE , THAT MEANS THE ^ BY ^ 3 3 , SO Z " WHEN I MULTIPLY J " x £ x I 3 , I GET . NOTICE THAT IN EACH OF THE TWO EXAMPLES SO FAR, THE NUMERATOR OF THE SQUARE ROOT FRACTION WAS THE SQUARE ROOT OF THE NUMERATOR, AND THE DENOMINATOR OF THE SQUARE ROOT FRACTION THE SQUARE ROOT 293 ' 4 r— OF THE DENOMINATOR. IN jf = ^ 35", WE NOTICE THAT 4 = J 1 6 AND 5 s lT_5 . AND IN ^ = J_T , WE NOTICE THAT 2 = (Hf AND 3 * /(JT. COULD THIS JUST BE COINCIDENCE? LET US CHECK. Q SUPPOSE WE DO FIND THE SQUARE ROOT OF A FRACTION, LIKE —- . SUPPOSE THIS SQUARE ROOT TURNS OUT TO BE THAT MEANS THAT O BUT MOW DO WE MULTIPLY FRACTIONS? TO MULTIPLY WE GET "_l _ I. THEREFORE, CZ3 O : • , SO THAT WE MIGHT AS WELL JUST FIND THE SQUARE ROOTS OF THE NUMERATOR AND THE DENOMINATOR SEPARATELY IF WE CAN, AND THEN FORM THE APPROPRIATE FRACTION AFTER WE ARE DONE. WHAT WOULD THE FOIJ_OWING SQUARE ROOTS BE? LET US CHECK THEM BE USING THE AREA ARGUMENT AND THEN THE SEPARATE NUMERATOR AND DENOMINATOR ONE. It 4 2$ 25 — Ask students to come to the board to show their arguments. See to i t that the students understand that they can always go back to the area argument with whole numbers by attacking the numerator and denominator separately, but that the s t r i c t l y fraction method w i l l always work. For example, with 9 , you might show; So IT _T 3_ 4 294 Do not go i n t o the p o s s i b i l i t i e s of renaming f r a c t i o n s and then f i n d i n g the square roots- as, f o r example, renaming _Z as ^ 30, i before finding the square root. Suggested end of day 3* ** Here the student w i l l learn that d i v i s i o n can provide a technique f o r f i n d i n g the square root of a whole number, and thus, l a t e r , the square root of a f r a c t i o n . ** WE HAVE ALREADY SEEN THAT IT IS EASY TO FIND THE SQUARE ROOTS OF SOME NUMBERS, LIKE 81 OR 100, OR 36. BUT WHAT WILL WE DO WHEN FACED WITH THE PROBLEM OF FINDING THE SQUARE ROOT OF, SAY, 576. WE DO NOT YET HAVE ANY METHOD, AND WE CANNOT TELL BY JUST LOOKING. SO WE WILL NOW GO BACK TO TRY TO DEVELOP A METHOD. AFTER ALL, IT MIGHT TAKE A PRETTY LONG TIME TO FIGURE OUT HOW TO DRAW ALL THE RECTANGLES WITH WHOLE NUMBER SIDES WHICH HAVE AREA'576. WE OUGHT TO START WITH AN EASIER PROBLEM FIRST JUST TO DEMONSTRATE THE TECHNIQUE AND THAT IT WORKS. SO LET US SAY THAT WE START BY LOOKING FOR THE SQUARE ROOT OF 16. WE ALL KNOW ALREADY THAT 4 IS OUR ANSWER, BUT LET US PRETEND THAT WE DO NOT KNOW THIS AND PROCEED TO FIND I T . IN ORDER TO END THE SQUARE ROOT OF 16, I AM LOOKING FOR A RECTANGLE WITH AREA 16 WHICH HAPPENS TO BE A SQUARE. SINCE I DO NOT KNOW IN ADVANCE WHAT THE SIZE OF THIS SQUARE IS IN TERMS OF SIDE LENGTH, I MIGHT MAKE ANY GUESS. SUPPOSE MY FIRST GUESS IS 8. I AM NOW GOING TO DRAW A RECTANGLE WITH LENGTH 8 AND AREA 16. 295 ' F I SEE THAT THIS IS NOT A SQUARE. I NEED MORE HEIGHT AND LESS LENGTH. SO I REARRANGE MY 16 SQUARES SO THAT THE HEIGHT IS A NUMBER BETWEEN 2 AND 8. IT OBVIOUSLY MUST BE MORE THAN 2, SINCE I WANT A HIGHER RECTANGLE. THE REASON IT SHOULD BE LESS THAN 8 IS THAT IF I CHOOSE A HEIGHT OF 8, IT'S JUST LIKE TURNING THE SKINNY RECTANGLE ON ITS SIDE AND THEN I WOULD HAVE IT TOO JL HIGH FOR ITS WIDTH. rT-f SUPPOSE I CHOOSE MI NUMBER BETWEEN 2 AND 8 TO BE 5* NOW I TRY TO DRAW A RECTANGLE WITH 'LENGTH 5 AND AREA 16. S UNFORTUNATELY, I DON'T EVEN GET A RECTANGLE, MUCH LESS A SQUARE. I DO NOTICE, HOWEVER, THAT IT IS A LITTLE TOO LONG FOR ITS HEIGHT, SO I TRY A NUMBER FOR ITS LENGTH WHICH IS SOMEWHAT SMALLER THAN 5", BUT MORE THAN 3. WHICH IS THE APPROXIMATE HEIGHT NOW. I MIGHT TRY 4. 4 296 AND I DO GET A SQUARE WITH AREA 16. THEREFORE, 4, THE SIDE LENGTH, IS THE SQUARE ROOT OF 16. WHAT WOULD I DO TO FIND THE SQUARE ROOT OF 25? I MIGHT MAKE A FIRST GUESS OF 6. I NOW DRAW A "RECTANGLE" WITH LENGTH 6 AND AREA 25. I DO NOT GET A RECTANGLE, BUT I DO SEE THAT I NEED MORE HEIGHT AND LESS LENGTH. SINCE THE HEIGHT IS NOT APPROXIMATELY 4, I CHOOSE A NUMBER BETWEEN 6 AND 4, SAY, 5. I NOW TRY TO DRAW A SQUAR| WITH SIDE 5 AND AREA 25, AND I SUCCEED THEREFORE, 5 = ^2~5 . BUT TO GET BACK TO FINDING THE SQUARE ROOT OF 576. MUCH TOO LONG TO HAVE TO KEEP DRAWING IT WOULD TAJ 576 LITTLE SQUARES, SO LET US EXAMINE WHAT WE DID PURELY NUMERICALLY IN THE PREVIOUS TWO CASES. I FIRST MADE A FIRST GUESS FOR THE SQUARE ROOT. SUPPOSE MY GUESJS WERE 10. I WOULD THEN ATTEMPT TO DRAW A RECTANGLE WITH LENGTH 10 AND AREA 576. WHAT WOULD THE WIDTH OF THE RECTANGLE BE, OR AT LEAST, HOW WOULD I FIND IT? REMEMBER THAT I GET THE AREA OF A RECTANGLE BY MULTIPLYING ITS LENGTH AND ITS WIDTH. Expect: divide 576 by 10. 297 SINCE 10 x WIDTH = 576, THEN THE WIDTH = 576 10, AND I PERFORM DIVISION: 10f576 50 _Z 57 AND I DO NOT GET AN EXACT RECTANGLE, BOT I GET A SHAPE APPROXIMATELY OF LENGTH^IO AND WIDTH 57. SI NOW I SEE THAT I NEED MORE LENGTH AND LESS HEIGHT OR WIDTH, SO I CHOOSE A NEW SIDE LENGTH BETWEEN 10 AND 57, SAY, HALFWAY BETWEEN THE TWO, ABOUT 35. I NOW DIVIDE 576 BY 35 TO FIND THE NEW WIDTH AND GET: 35|576) 3Jp\ 10 226 22£ 1/17 AND FIND THAT I NOW HAVE APPROXIMATELY A RECTANGLE OF LENGTH 35 AND WIDTH 17. 35 n 0" TEES IS STILL NOT A SQUARE, SO I TRY A LENGTH BETWEEN 17 AND 35, SAY, 26. THEN, IF THE LENGTH IS 26, THE WIDTH OF THE NEW RECTANGLEI WITH AREA 576 WOULD BE 576-26 = 298 26^5761 20 10 _2 22 SO I NOW HAVE ALMOST A RECTANGLE WITH LENGTH 26 AND WIDTH 22. JL<* THIS IS STILL NOT A SQUARE, SO I TRY A LENGTH BETWEEN 22 AND 26, SAY 24. THEN, IF THE LENGTH IS 24, THE WIDTH = 576 -7 2 4 — AND FINALLY, THE LENGTH EQUALS THE WIDTH = 24. SO, 576 = 24. WE CAN DRAW A DIAGRAM TO CHECK THIS: 2o 2D 4oo fo 4 400 + 80 + 80 + fi> 16 = 576 lie SO NOTICE THAT WHAT WE HAVE DONE IS TO TRY TO FORCE OUR RECTANGLES INTO SQUARES. NOTICE THAT I CAN MAKE ANY FIRST GUESS, BUT IS SAVE MYSELF TIME IF I CAN MAKE A GOOD FIRST GUESS. FOR EXAMPLE, IF I REALIZE THAT 10 =^100 AND 20 = ^400 AND 30 =J900, I WOULD REALIZE THAT SINCE 576 IS BETWEEN 400 AND 20 AND 30, I COULD TELL THAT ,\J~576~IS MIGHT HAVE BEEN 25. BETWEEN 900, AND MY FIRST GUESS SUPPOSE I TRY TO FIND ^1>69. I KNOW THAT 30 '^900 AND 40 » >Jl600, SO I KNOW THAT I WANT TO CHOOSE A NUMBER BETWEEN 30 AND 40, SAY, 35. THEN IF THE LENGTH OF MY RECTANGLE IS 35, I GET THE WIDTH BY 13697 35: 35 )1369) 30 319 -315 __ S/39 1050 ) AND I GET A "RECTANGLE" OF LENGTH 35 AND WIDTH OVER 39. SO I NEED MORE LENGTH. SAY, 37. I CHOOSE A NUMBER BETWEEN 35 AND 39, IF THE LENGTH IS 37, THE WIDTH IS 1369 -f.37: 3771369") 1110 (30 259 _____0 37__z_ AND I DO GET A SQUARE OF SIDE 37 WITH AREA 1369. 3o 1 too ZfO | 900 + 210 + 210 + 49 = 1369 2/Q Suggested end of day 4 . Hand students worksheet 1 to complete. ** The student w i l l now apply h i s technique f o r f i n d i n g square roots to f i n d i n g square roots of f r a c t i o n s . ** 300 WHAT CAN I DO? IF 100 RECALL, WE LEARNED BEFORE THAT WE COULD SEPARATELY FIND THE SQUARE ROOTS OF NUMERATOR AND DENOMINATOR AND FORM A FRACTION OUT OF THEM WHICH WOULD BE THE APPROPRIATE SQUARE ROOT. WE JUST FOUND BEFORE THATj~57~6 = 24 AND WE KNOW THAT ^4 = 2, 1%. SO WHAT DO WE KNOW ABOUT A\ ZJ?1 Expect the answer: ij-zr - ~rf • INDEED, IF WE MULTIPLY: = . IF WE WISH TO DRAW A DIAGRAM OF THIS, WE SEE THAT WE COULD START OUT WITH 576- SQUARES EACH OF AREA JL , FORMED BY GUTTING UP UNIT SQUARES LIKE. SO: THEN I COULD ARRANGE THESE 5?6 SQUARES (EACH OF AREA -L ) INTO AN ARRAY OF 24 BY 24, LgKE SO: LU. AND I DO HAVE 576 BLOCKS ARRANGED IN A SQUARE AND SINCE EACH BLOCK HAS AREA — , I HAVE A TOTAL AREA OF ^ . Ask the students to f i n d the square roots of the following fractions by f i n d i n g the square roots of numerators and denominators separately, but then v e r i f y i n g with a diagram. 301 I f the students have not seemed to adjust to the procedure of f i n d i n g the square root, do another problem l i k e the following one: To find/\j6_5t I figu-e out that the square root must be between 20 and 30 since 20 = J^OO guess might be 24. and 30 =/j) 900, and j626 i s between Then I divide 24 i n t o 20 and 30. My f i r s l t 625: 24j625l 480 ( 20 155 144 6 1/ zE I get a width of 26 f o r a length of 24. the two, say, 25, I get a new width. So, i f I t r y a length between When I divide 625 by 25, I do get 25, so I have a square and have found the square root of 625 to be 25 Hand students worksheet 2 to complete. <: Suggested end of day 5. 302 Finding the Square Root of a Fraction Outline f o r approach P; WE HAVE ALREADY LEARNED HOW TO FIND THE SQUARE ROOTS OF SOME FRACTIONS AND WHOLE NUMBERS, BUT AS WE MENTIONED ALREADY, THERE ARE SOME NUMBERS LIKE 12, WHICH DON'T HAVE WHOLE NUMBER SQUARE ROOTS. WE ARE GOING TO LEARN HOW TO DEAL WITH THESE NUMBERS, TOO. AGAIN, WE MUST DO A BIT OF REVIEWING FIRST. WHAT DO WE MEAN BY THE FRACTION y ? WHAT DOES THE NUMERATOR, , 3 TELL US? Expect the answer: the number of sevenths we are considering. WHAT DOES THE DENOMINATOR, 7, TELL US? Expeot the answer: that the whole was divided i n t o 7 equal parts. TO DRAW THIS, WE MIGHT DRAW SOMETHING LIKE: WHAT DIAGRAM WOULD YOU SUGGEST TO SHOW if- ? Have one student come to the board to draw h i s diagram. procedure with and Repeat t h i s . LET US REVIEW QUICKLY AGAIN SOME IDEAS ABOUT AREA. REMEMBER THAT THE AREA OF A RECTANGLE TELLS ME THE NUMBER OF SQUARE UNITS THAT FIT ONTO THE RECTANGLE. FOR EXAMPLE, TO FIND THE AREA OF A RECTANGLE WHICH IS 2 UNITS BY 9 UNITS, I DRAW: 303 AND SEE THAT THE AREA IS 18 SQ. UNITS. NOTICE THAT I CAN VIEW THIS AS 2 x 9 SQ. UNITS LIKE SO: SO, IF I HAVE A RECTANGLE WHICH HAS DIMENSIONS 4 UNITS BY 3 UNITS, I CAN DRAW A DIAGRAM LIKE: <- - • c c ( AND VERIFY THAT THE AREA = 4 x 3 SQ. UNITS. LET'S TRY ONE MORE AREA QUESTION. SUPPOSE MY RECTANGLE HAS DIMENSIONS OF 3 UNITS BY 9 UNITS. a AND THE AREA IS INDEED I WOULD DRAW: 3x 9 SQ. UNITS. Ask the students to consider the following products as area questions: Ask three students to come to the board to diagramatically explain t h e i r answers. 304 ** Here the students w i l l review the idea that the square root of a whole i s found by repeated d i v i s i o n i n order to f i n d a square with the given area. ** IF YOU RECALL, WE HAVE ALREADY LEARNED THAT IN ORDER TO FIND THE SQUARE ROOT OF A NUMBER, I AM LOOKING FOR ANOTHER NUMBER WHICH I CAN MULTIPLY BY ITSELF TO GET THE NUMBER I AM GIVEN. FOR EXAMPLE, 4 = fijs", AND, AS YOU MIGHT RECALL, THIS IS THE SAME PROBLEM AS FINDING A RECTANGLE WITH THAT GIVEN AREA, 16, WHICH HAPPENS TO BE A SQUARE. THIS IS SO SINCE IF A RECTANGLE HAS THE GIVEN AREA, ITS SIDES CAN BE MULTIPLIED TOGETHER TO GET THAT NUMBER AND FOR A SQUARE THE SIDES WOULD BE EQUAL. YOU MIGHT ALSO RECALL THAT WE PERFORMED DIVISION WHEN THE NUMBER WE WERE TRYING TO FIND THE SQUARE ROOT OF WAS LARGE IN ORDER TO MAKE THE PROBLEM EASIER. FOR EXAMPLE, TO FIND 324, I MIGHT SAY: SINCE 2 0 =^~40Q 20 AND 1 0 . AND 10 = ^ 0 0 , LET US GUESS 1 5 . THEN, >J324 MUST BE BETWEEN SO, FFORM A RECTANGLE WITH LENGTH 15 AND AREA 324 AND TRY TO FIND THE WIDTH TO SEE IE IT IS r 15. 7 IN ORDER TO FIND THE WIDTH, I DIVIDE 324 BY 15, AND GET: 15 r3~24) 91 21 305 AND I SEE THAT I DO NOT QUITE GET A RECTANGLE, BUT MY SHAPE HAS AN APPROXIMATE RECTANGULAR SHAPE WITH LENGTH 15 AND WIDTH 21. OBVIOUSLY, THIS IS NOT SQUARE. IT NEEDS MORE LENGTH AND LESS WIDTH, SO I CHOOSE AS MY NEXT GUESS FOR THE LENGTH A NUMBER BETWEEN 15 AND 21, SAY, 18. 18) 2 4 180 iffl 144 0 3 10 _8 18 AND I FIND THAT 18 IS THE SQUARE ROOT. AND WHEN I CALCULATE THE AREA OF THIS SQUARE, I GET 324 to Zero P to 100 + 80 + 80 + 64 = 324 LET- US TRY TO FIND THE SQUARE ROOT OF 729 BY THIS TECHNIQUE. I MIGHT MAKE A FIRST GUESS FOR THE LENGTH OF A NUMBER BETWEEN 20 AND 30 SINCE 20 = <|400 AND 30 = ^900 AND 900. SUPPOSE MY GUESS IS 25. AND 729 IS BETWEEN 400 IF THE LENGTH OF THE RECTANGLE IS 25, AND THE AREA IS 729. I GET THE WIDTH BY DIVIDING: 25 ) 729"^ 20 500 229 200 8 29 JL 29 306 AND I GET A FIGURE LIKE: THIS IS NOT A SQUARE. IT NEEDS MORE LENGTH AND LESS WIDTH. SO I CHOOSE ANOTHER GUESS FOR THELENGTH BETWEEN 25 AND 29, SAY, 27. TO GET THE WIDTH, I DIVIDE: 27) 729 540 189 18? 0 20 JL 27 AND SO THE LENGTH EQUALS THE WIDTH IS 27, AND I CAN DRAW THE SQUARE TO VERIFY MY RESULT. Hand students worksheet 3 to complete, Suggested end of day 6. ** Here the students w i l l learn about approximating square roots of wholes. ** SUPPOSE WE NOW WANT TO FIND (J?. SINCE 2 x 2 = 4 WE KNOW THAT 2 IS TOO SMALL, AND 3 IS TOO LARGE SINCE 3 x 3 = 9. SO WE HAVE A PROBLEM WE HAD NOT PREVIOUSLY FACED. ONE TECHNIQUE WE MIGHT USE IS TO CONVERT 5 TO A FRACTION AND TRY TO FIND A FRACTION WITH A PERFECT SQUARE ROOT NEAR IT. FOR EXAMPLE, WE KNOW THAT 5= ^ , AND ^ IS CLOSE TO % *5 li HAS A PERFECT SQUARE ROOT, NAMELY jf . , WHICH BUT THIS MIGHT PROVE VERY LONG AND TEDIOUS IF WE DON'T FIND THE RIGHT FRACTION RIGHT 307 AWAY. LET'S TRY TO DEVELOP A METHOD SUPPOSE WE TRY TO DRAW A SQUARE WITH AREA OF 5. WE MIGHT DRAW SOMETHING LIKE: f WHERE SECTIONS 1, 2 AND 3 HAVE A TOTAL AREA OF 1 UNIT. HOWEVER, WE DO NOT KNOW THE SIZE OF THE 0 WHICH EXTENDS FROM 2. WHAT IS THE AREA OF SECTION 1? Expect the answer: 2x D . WHAT IS THE AREA OF SECTION 2? Expect the answer: 2 x JJ . WHAT IS THE AREA OF SECTION 3? Expect the answer: Q x JJ . NOW, IN ORDER OF SIZE, SECTIONS 1 AND 2 COME BEFORE 3, SO LET US PRETEND TEMPORARILY THAT THEY MAKE UP MOST OF THE i UNIT THAT SECTIONS 1, 2, AND 3 MAKE UP ALTOGETHER. SO, THE TOTAL AREA OF SECTIONS 1 AND 2 IS (2 x Q ) + (2 x • ) IS ABOUT 1. BUT, ( 2 x " Q ) k x t i SINCE I CAN DRAW: a + ( 2 x L j ) I S ANOTHER WAY OF WRITING NOW, IF 4 x £7 IS ABOUT 1 , WHAT IS O Expect the answer: about ? 4 ' NOW-;'SUPPOSE WE PRETEND THAT Z7 IS ~$ . WHAT IS THE AREA OF SECTION 3 - IN OTHER WORDS, WHAT IS CL x fj ? Expect the answer: SINCE THIS NUMBER IS LESS THAN ~ , WE CAN SAI THAT WE HAVE USED UP MOST OF THE EXTRA 1 UNIT OF AREA THAT IS NOT IN THE 2 BI 2 SECTION OF THIS SQUARE'*x + CL X A a AND SO WE CAN SAI THAT <p5 IS ABOUT ± Z^f . WE WRITE THIS lT5£ 2 WE MIGHT HAVE USED DIVISION PROCEDURE AGAIN, AS WELL. SO OUR FIRST GUESS MIGHT HAVE BEEN 2 . THEN WE WOULD DIVIDE 5 BI 2 , AND GET : 2/71 1 2 1 UNFORTUNATELY, THIS GETS US INTO DIVISION WITH FRACTIONS SINCE OUR NEXT GUESS WOULD BE A NUMBER BETWEEN 2 AND 2 ^ . AND SO, WE WILL AVOID THE DIVISION TECHNIQUE FOR THE TIME BEING. ' SUPPOSE WE WANT TO FIND l _ 3 . WE KNOW THAT THE ANSWER MUST BE BETWEEN 3 AND 4 , SINCE AND k x k - 16 AND 13 IS BETWEEN 9 AND 16. 3 x 3 = 9 309 SO, WE AGAIN DRAW A SQUARE LIKE SO: a WE HAVE USED UP 9 UNITS OF THE 13 IN THE 3 x 3 SQUARE, LEAVING US WITH 4 MORE UNITS DISTRIBUTED IN SECTIONS 1, 2, AND 3. NOW WHAT IS THE AREA OF SECTION 1? Expect the answer: 3 x d . WHAT IS THE AREA OF SECTION 2? Expect the answer: 3 x 2 . WHAT IS THE AREA OF SECTION 3? Expect the answer: Q x L7 . AGAIN, WE WILL GO FROM LARGEST TO SMALLEST. IF WE TEMPORARILY IGNORE SECTION 3t WE HAVE USED UP MOST OF THE 4 UNITS IN SECTIONS 1 AND 2 WITH COMBINED AREA: 3xL7+3x£7=6x rj IF 6 x 0 = 4 , WHAT IS n WE KNOW THAT SO THAT 6 x 1 = 1 6 x J/ = 4 V i: ? BY DRAWING: O . 310 i AND CERTAINLY WE NEED TO MULTIPLY _• BY SOMETHING k TIMES AS GREAT I N ORDER TO GET 4 INSTEAD OF 1 . THEN, I F WE GUESS fl = ^ IN SECTION 3 I S THAN ^ 0 x Q (WHICH I S 3. Jl3^ , WE FIND THAT THE NEGLECTED AREA = -| x _f = J | WHICH I S LESS ) AND SO WE SAY THAT 3 l£ . SUPPOSE WE WANT TO FINDJ37 . I F WE DID NOT KNOW I N ADVANCE TO TRY A NUMBER NEAR 6 , WE MIGHT USE THE DIVISION PROCEDURE TO CLOSE I N ON A NUMBER BETWEEN 6 AND 7. FOR EXAMPLE, WE MIGHT DO: GUESS T H E : ™ OF THE SQUARE WITH AREA 37 TO BE 4 . THEN THE WIDTH • 37 - 4 SO WE TRY A NUMBER BETWEEN 4 AND 9 FOR THE LENGTH , SAY, 7SO THE WIDTH * 37- 7 7 J37 2i 2 5 SO WE S T I L L DID NOT GET A SQUARE. WE NOW TRY A NUMBER BETWEEN 5 AND 7 , SAY, 6 . I F THE LENGTH = 6 , THE WIDTH = 3 7 7 6 , 36,/ 6 1 I r 311 AND WE ARE BACK TO THE POINT WHERE OUR DIVISION PROCESS CANNOT HELP US. 6 AND HOWEVER, WE DO KNOW FOR SURE THAT 1$~37 IS BETWEEN 7. SO, LET US DRAW: , (n-t-J- WHAT ARE THE AREAS OF EACH OF THE SECTIONS 1, 2, AND 3? Expect the answers: 6 x Q, 6 x Q , and Qx Q . SINCE SECTION 3 IS SMALLEST WE MIGHT IGNORE IT TEMPORARILY. WE SEE THAT SECTIONS 1 AND 2 HAVE A TOTAL AREA OF (6 x l 3 ) = 12 x (6 x Q ) + p.n SINCE THERE IS ONLY ONE UNIT OF THE 37 NOT IN THE 6 BY 6 SQUARE, WE HAVE TO ASSUME THAT Expect the answer: about 12 x • IS ABOUT 1. WHAT VALUE IS • • THEN WHAT IS THE AREA OF SECTION 3? Expect the answer: "Q x O = THIS IS CERTAINLY SMALLER THAN z ill? , SO WE CAN ASSUME THAT lU NOTICE THAT IF I HAD BEEN TRYING TO FIND 38, I WOULD HAVE DONE THE SAME THING UNTIL I SAID THAT 12 x U IS ABOUT 1. THEN I ? 312 WOULD HAVE SAID THAT 12 x 0 IS ABOUT 2, AND SO 2 x J- » A . I STILL WOULD HAVE CHECKED 12- itIT WAS SMALLER THAN £ Q IS ABOUT £Zx Q TO SEE THAT , AND SINCE i - x ^ IS SMALLER THAN , I WOULD HAVE ACCEPTED THIS APPROXIMATION. Suggested end of day 7< Ask the students t o work out the approximate square roots f o r the following and then ask students to come t o the board to show t h e i r work. ** Here the students w i l l learn how to approximate the square roots of f r a c t i o n s whose denominators are perfect squares, but whose numerators are not. ** NOW SUPPOSE I WANT TO FIND THE APPROXIMATE SQUARE ROOT FOR "V ^ I HAVE ALREADY LEARNED THAT I CAN SEPARATELY ATTACK THE NUMERATORS AND DENOMINATORS AND PUT TOGETHER THESE SQUARE ROOTS TO FORM THE SQUARE ROOT FRACTION. SUPPOSE WE DO THAT HERE. WE FOUND THAT J ~ 5 ^ 2 THATJ^ FROM OUR PREVIOUS WORK AND WE KNOW = 2. X „ SO THE APPROXIMATE SQUARE ROOT OF If I S 2/? . SUPPOSE WE WERE TRYING TO FIND IS i >/4 313 WE KNOW THAT 4 13£ 3^ A N O j ^ = 2, SO LET'S DO THE SAME THING FOR ^ . All . ft IS WE CAN WRITE THAT THE APPROXIMATE SQUARE ROOT OF i)xf Have the students f i n d approximate square roots f o r eaoh of the following have a few students show t h e i r work on the board. Suggested end of day 8. 314 Finding the Square Root of a F r a c t i o n Outline f o r approach a: WE ARE GOING TO LEARN A WAY TO EXPRESS ANY FRACTION AS THE PRODXT OF TWO EQUAL FRACTIONS (OR APPROXIMATELY SO). FOR EXAMPLE, WE WILL LEARN THAT JUST AS 16 CAN BE EXPRESSED AS THE PRODUCT OF TWO EQUAL FACTORS, NAMELY, 4 x 4 , -j CAN BE EXPRESSED AS THE PRODUCT OF TWO IDENTICAL FRACTIONS, NAMELY 1 • 3 3 BUT FIRST WE MUST DO A LITTLE BIT OF REVIEWING. I AM.GOING TO ASK YOU SOME MULTIPLICATION QUESTIONS. Ask the f o l l l o w i n g : I f there i s much d i f f i c u l t y i n answering these questions on the part of the c l a s s as a whole, then apply an argument involving the d i s t r i b u t i v e p r i n c i p l e l i k e the following one: To i l l u s t r a t e : 3 x 5 = 2 x 5 + 1 x 5 = 10 +5 = 15 4 x 4 = 2 x 4 + 2 x 4 = 8 + 8 = 16 Do not use diagrams to i l l u s t r a t e these. I f the students have trouble i n breaking up the f i r s t number into only two addends, l i k e 6 i n t o 3+3. allow them to use more addends which are 315 smaller, such as 6 as 2+2+2. Go over items 29-33 on the pretest. In p a r t i c u l a r , have students see the r e l a t i o n s h i p between a f r a c t i o n and a m u l t i p l i c a t i o n expression. That i s , a f r a c t i o n l i k e J[ can be written as 3 x 1 or 4 as 4 x -4 . 7 J > Go back to the repeated addition explanation to show t h i s i f i t i s 7 necessary. answer. For each question, read the question and ask f o r the correct This review should go quickly because-the students worked with f r a c t i o n s i n the previous u n i t . SUPPOSE I WANT TO FIND THE SOLUTION TO THE QUESTION 3 x Q = 12. I HAVE A MULTIPLICATION SENTENCE TO SOLVE, BUT BECAUSE I AM MISSING ONE. OF THE MULTIPLIERS, RATHER THAN THE PRODUCT, THE OPERATION I PERFORM IS DIVISION. HERE I WOULD DIVIDE 12 BI 3 . AND MI SOLUTION IS WHAT? Expect the answer: JJ - 4 , THEREFORE, I CAN TORN ANY MULTIPLICATION STATEMENT INTO A DIVISION STATEMENT AND VICE VERSA. FOR EXAMPLE, HOW DO I TURN THE FOLLOWING INTO A MULTIPLICATION STATEMENT: 12-7 3 = Expect the answer: n . Q x 3 = 12. Z — — — HOW DO I TURN THIS MULTIPLICATION STATEMENT INTO A DIVISION ONE: Expect the answer: 3x JJ = 27 27 ~ O s ? 3 or 27 -f-3 = Q . Go.) over items 21-25 on the pretest and make sure the students see the 316 r e l a t i o n s h i p between m u l t i p l i c a t i o n and d i v i s i o n . Read each question and have a student provide the answer. NOTICE THAT IN SOLVING 27- 3, I DID NOT REALLY NEED TO GO THROUGH A LONG DIVISION PROCESS, SINCE I QUICKLY READ OFF THE ANSWER AS A FACT. BUT SUPPOSE I HAD A QUESTION LIKE: 1 3 x D = 2639. WHAT WOULD I DO TO SOLVE THIS QUESTION? Expect the answer: divide 2639 by 13. HOW MIGHT I BEGIN? I SET UP THE QUESTION, LIKE SO: 13) 2639 AND I KEEP TAKING CHUNKS OF 2639 13 OUT UNTIL I HAVE USED ALL OF THE OF 2639. MY ANSWER IS THE NUMBER OF CHUNKS I TOOK OUT. SO I CAN TAKE 200 CHUNKS OF 13 OUT FIRST, LEAVING ONLY 39. 13 i 2639 2600 200 39 -11 0 203 THEN I TAKE OUT 3 MORE CHUNKS OF 13, AND USE ALL OF THE 2639. SO, 2639 f 13 = 203. Allow the students to solve these two d i v i s i o n questions and have two students show t h e i r r e s u l t s to the c l a s s : 9 J 288 AND 20) 4300 317 ** Here the student w i l l learn how to multiply fractions i n order that ^ _ 5 x — he might find answers to problems like = 4r • ** SUPPOSE I WANT TO FIND THE ANSWER TO A MULTIPLICATION QUESTION I WHERE BOTH OF THE NUMBERS TO BE MULTIPLIED ARE FRACTIONS. FOR EXAMPLE, WE MIGHT TRY I x -5- . WHAT DO YOU SUGGEST THE ANSWER MIGHT BE? Wait for a response of -JQ before proceeding. LET'S SEE IF THIS IS REASONABLE. IF f IS ANOTHER NAME FOR X x i - , THEN SINCE i+i +i + t+i +i - i =6 x £ - i . THAT WOULD MEAN THAT 6 x ( X x X ) = 1. * / IF THIS IS SO, WE KNOW OUR PRODUCT IS 3 SINCE THERE IS ONLY ONE NUMBER I CAN MULTIPLY BY 6 TO GET 1 AND THAT NUMBER IS . WELL, 6x( 1 x 3 3 X 2 J ( L) i 2- x j ) 3 = ( 3 x i - ) x ( 2 x i 3 ) % BUT 2 x j, = 3 x J- = 1 . 2 - 3 =1x1 =1 NOTICE THAT ALL I DID WAS TO DECIDE WHETHER X x X = X IF 6x ( X x X )= l. z- Suggested end of day 1. 3 x 3 - BY SEEING 318 HOW WOULD WE FIND ^ x ^ ? WE CHECK TO SEE IF _/ x i EQUALS = J- BY SEEING IF 28 x ( - x ^ 1. BUT, 28 x ( Xx = 4 x x 7 S. ) ( - (4 x 1 x I ) ) x ( 7 x i ) = 1 x 1 = 1 SO, 28 x ( 1 x J. ) = 1, AND, SO, -f x 4-7 1 7 WHAT DO YOU THINK J - x X 5? 7 WILL BE? Expect the answer: /c7 LET US CHECK THIS: IF THIS IS SO, THEN 18 x ( 4s x •/ ) = 1, BUT, 18 x ( i x 7; ) • 6 x 3 x ( j x ^ ) = (6 x X (3 x )x X ) = 1 x 1 = 1 SO, 18 X ( J~ 3 X v X ) = 1, SO, i 3 x i- 7 J. - . 'if IP DO YOU NOTICE THAT IN EACH OF THESE PROBLEMS, IF I MULTIPLY I I TJBY 2\ , I GET AS AN ANSWER A FRACTION J — ^ - j ^ . THIS SEEMS REASONABLE SINCE IN EACH CASE IF I MULTIPED OxA.IGOT AND, SO, -L -3 x ( Q x X) ( x J. A = / _. o / A x ^ A x X ) = l x l BY = l, ) 319 SUPPOSE WE WANT TO MULTIPLY 3 BY ^ .WE KNOW THAT WE CAN DO SOME RENAMING TO FIND THIS ANSWER. CAN BE RENAMED AS 2 x i A AND AS 3 x j . THEREFORE, * 3 = (2 x Z ) x (3 x Jr ) ^3 ' SINCE I CAN MULTIPLY IN ANY ORDER, THIS IS THE SAME AS: (2 x 3) x U x ' ) = 6 x 12. « i . 11 I so, 4 x - I x tl 3 LET'S FIND £ T . USING THIS APPROACH: I RENAME: i 4 . »(3x^ )x(2x-j- = (3x2) x ( J - x J ) A x 4 THEREFORE, J S IJ? 4 WHAT WOULD Expect the answer: = 7? BE? «2° LET'S CHECK BY RENAMING: 4 l = C n j ) x ( 2 x | ) = (4 x 2) x ( .i-x / .7 7 ) ) 320 Ask the students to f i n d the following products: Have three Istudents come to the board t o show the renaming that leads to the answer. Suggested end of day 2. ** Here the student w i l l learn that the square root of a number i s that number which I can multiply by i t s e l f to get the given number; f o r example, the squre root of 9 i s 3 since 3 x 3 = 9.** SUPPOSE I WANT TO FIND ALL THE NUMBERS WHICH GO INTO 16 EVENLY. ALL I HAVE TO DO IS LIST ALL THE MULTIPLICATION FACTS I KNOW FOR 16. 16 = 16 x 1 = 8 x 2 = 4 x 4 = 2 x 8 = 1 x 16 NOTICE THAT FROM THESE, I CAN SEE THAT 1,2,4,8 AND 16 ARE THOSE NUMBERS I WAS LOOKING FOR. BUT MORE THAN THAT, I CAN SEE THAT AMONG THOSE LIST OF FACTS, THERE WAS ONE FACT WHERE I MULTIPLIED A NUMBER BY ITSELF TO GET 16. 321 THAT NUMBER WAS 4 , BECAUSE OF THIS SPECIAL PROPERTY, 4 IS CALLED THE SQUARE ROOT OF 1 6 . WE WRITE THIS 4 =J~l6. LET'S TRY TO FIND THE SQUARE ROOT OF 2 5 . WE LIST ALL THE MULTIPLICATION FACTS WE KNOW FOR 2 5 : 25 = 25 x 1 = 5 x 5 = 1 x 25 AMONG THESE FACTS, WE FIND ONE WHERE A NUMBER IS MULTIPLIED BY ITSELF TO GET 2 5 . THIS NUMBER IS 5 . SO, 5 *%*5. SOME NUMBERS DO NOT HAVE WHOLE NUMBER SQUARE ROOTS. FOR EXAMPLE, TAKE 1 2 . LET US WRITE ALL THE MULTIPUCATION FACTS FOR 12. 12 = 12 x 1 = 6 x 2 * 4x3 = 3 x 4 = 2 x 6 = 1 x 12 NONE OF THESE FACTS PROVIDE US WITH A SQUARE ROOT FOR 1 2 . WE ALREADY KNOW MANY SQUARE ROOTS. FOR EXAMPLE, THE SQUARE ROOT OF 4 IS 2 , SINCE 2 x 2 = 4 . WHAT IS THE SQUARE ROOT OF 9? "-• .—_— —— —- — . Expect the answer: 3* Ask the students to c a l l out the square roots of the following: i m • n 36 49 100 . . i —. 322 ** Here, the student w i l l learn to apply the idea of square root to f r a c t i o n s . ** — — 7£~~ SOPPOSE WE ARE LOOKING FOR THE SQUARE ROOT OF A FRACTION, LIKE ^5 . THAT MEANS THAT WE ARE LOOKING FOR ANOTHER FRACTION TO MULTIPLY BY ITSELF TO GET l \ . AGAIN, WE LIST MANY MULTIPLICATION SENTENCES FOR !k . Z5 WE MIGHT LIST: = 1 6 X £ T = 8 x (2 x ^ = (8 x £ ) ) x (2 x X ) = ( 4 x M ) x (kxJr 5 »5 ) AND SO ON. NOTICE THAT THE LIST COULD GET PRETTY LONG. BUT WE SEEMD TO HAVE FOUND AN ANSWER, NAMELY k x -L = 5 INDEED, it x £ - $ s j£ i • 5 . ^ SUPPOSE WE WERE TRYING TO FIND THE SQUARE ROOT OF -~r . WE MIGHT START WITH SOME MULTIPLICATION SENTENCES: = 4 x j = 2x(2x j )=2x-^ = ( 2 x X ) x ( 2 x X ) =i x ^ AND SO ON. WE SEEMED TO HAVE FOUND AN ANSWER, NAMELY INDEED, i. 3 x H 3 = i 2 x X = 4 • . f NOTICE IN EACH OF THE TWO EXAMPLES SO FAR, THE NUMERATOR OF THE SQUARE ROOT FRACTION WAS THE SQUARE ROOT OF THE NUMERATOR, AND THE DENOMINATOR OF THE SQUARE ROOT FRACTION WAS THE SQUARE ROOT OF THE DENOMINATOR. 323 IN IN jf = i , WE NOTICE THAT 4 =^ 6 AND 5 • JS. = f T , WE NOTICE THAT 2 = J~4 AND 3 = . COULD THIS JUST EE COINCIDENCE? LET US CHECK. SUPPOSE WE DO FIND THE SQUARE ROOT OF A FRACTION, LIKE • SUPPOSE THIS SQUARE ROOT TURNS OUT TO BE THAT MEANS THAT O x O o BUT HOW DO WE MULTIPLY FRACTIONS? WE GET <_>7<> TO MULTIPLY THEREFORE, ~ J = ^ ±= x , . SO THAT WE MIGHT AS WELL JHST FIND THE SQUARE ROOTS OF THE NUMERATOR AND DENOMINATOR SEPARATELY AND THEN FORM THE APPROPRIATE FRACTION AFTER WE ARE DONE. WHAT WOULD THE FOLLOWING SQUARE ROOTS BE? LET US CHECK THEM BY MULTIPLYING THEM OUT AS FRACTIONS: 4 2S 3<* * Ask students t o read out t h e i r answers. See to i t that the students understand that they can always go back to f i n d i n g the square roots of whole numbers by attacking the numerator and denominator separately, but that the s t r i c t l y f r a c t i o n method w i l l always work. For example, with 9 -fa , you might show: iT6 = 4 since 4 x 4 = 16 and J 9 = 3 since 3x3 =9 So Do not go into the p o s s i b i l i t i e s of renaming f r a c t i o n s and then f i n d i n g the square roots- as, f o r example, renaming ^ the square root. as ^ before f i n d i n g 324 Suggested end of day 3* ** Here the student w i l l learn that division can provide a technique for finding the square root of a whole number, and thus, l a t e r , the square root of a fraction. ** WE HAVE ALREADY SEEN THAT IT IS EASY TO FIND THE SQUARE ROOTS OF SOME NUMBERS, LIKE 81 OR 100 OR 36. BUT WHAT WILL WE DO WHEN FACED WITH THE PROBLEM OF FINDING THE SQUARE ROOT OF, SAY, 576. WE DO NOT YET HAVE ANY METHOD AND WE CANNOT TELL BY JUST LOOKING, SO WE WILL NOW GO BACK TO TRY TO DEVELOP A METHOD. AFTER ALL, IT MIGHT TAKE A PRETTY LONG TIME TO LIST ALL THE FACTS FOR 576. WE OUGHT TO START WITH AN EASIER PROBLEM FIRST JUST TO DEMONSTRATE THE TECHNIQUE AND THAT IT WORKS. SO LET US SAY THAT WE START BY LOOKING FOR THE SQUARE ROOT OF 16. WE ALL KNOW ALREADY THAT 4 IS OUR ANSWER, BUT LET US PRETEND THAT WE DO NOT KNOW THIS AND PROCEED TO FIND IT. IN ORDER TO FIND THE SQUARE ROOT OF 16, I AM LOOKING FOR A FACT FOR 16 SO THAT I MULTIPLY A NUMBER BY ITSELF TO GET 16. SINCE I DO NOT KNOW IN ADVANCE WHAT THAT NUMBER IS, I MIGHT MAKE ANY GUESS. SUPPOSE MY FIRST GUESS IS 8. 1 KNOW THAT 16 = 8 x • THAT IS, CAN BE SOLVED BY O = 2, 8 x 2 = 16. NOW IS EE THAT 8 IS TOO LARGE AS A SQUARE ROOT GUESS AND 2 IS TOO SMALL, SO I MUST FIND A NUMBER BETWEEN THEM TO TRY TO MULTIPLE BY ITSELF TO GET 16. I CAN SEE THAT THE NUMBER MUST BE BETWEEN 2 AND 8, SINCE IF I LIST ALL THE FACTS FOR A NUMBER, LIKE 16, 325 AS ONE FACTOR GETS LARGER, THE OTHER GETS SMALLER. ' 16 x 1 8x2 4 x4 ETC. OTHERWISE, IF BOTH GET LARGER, MI ANSWER WOULD BE OVER 16, AND IF BOTH GOT SMALLER, MI PRODUCT WOULD BE UNDER 16. SUPPOSE I CHOOSE MI NUMBER BETWEEN 2 AND 8 TO BE 5 * NOW I TRI TO FIND 0 SO THAT 5 * 0 = 16. I CERTAINLY DON'T GET A WHOLE NUMBER ANSWER, BUT I KNOW MI ANSWER IS BETWEEN 3 AND 4 . SO, NOW I HAVE THAT 16 IS ABOUT 5 x 3 . SINCE 5 f 3 . I CHOOSE A NUMBER BETWEEN THESE TWO TO TRI FOR THE SQUARE ROOT. HOW ABOUT 4? 4 WORKS, SINCE 4 x 4 = 16. SO, 4 IS THE SQUARE ROOT OF 16. WHAT WOULD I DO TO FIND THE SQUARE ROOT OF 25? I MIGHT;:MAKE A FIRST GUESS OF 6 . I TRI TO FIND 0. SO THAT • x 6 = 2 5 . BUT Q IS NOT A WHOLE NUMBER, BUT IS A NUMBER BETWEEN 4 AND 5 . SO NOW I HAVE THAT 25 IS ABOUT SINCE 6 6x4. I CHOOSE A NUMBER BETWEEN THESE TWO TO TRI FOR THE SQUARE ROOT. HOW ABOUT 5? 5 WORKS, SINCE 5 x5 = 2 5 , SO, 5 = Jfa. BUT TO GET BACK TO FINDING THE SQUARE ROOT OF 576. IT WOULD TAKE MUCH TOO LONG TO LIST ALL THE FACTS FOR IT, SO LET US 326 EXAMINE WHAT WE DID PURELY NUMERICALLY IN THE PREVIOUS TWO CASES. I FIRST MADE A FIRST GUESS FOR THE SQUARE ROOT. SUPPOSE MY GUESS NOW WERE 10. I WOULD THEN ATTEMPT TO FIND Q SO THAT HOW DO I FIND fl 10 x D = 576 ? Expect: divide 576 by 10. SINCE 1 0 x D = 576, THEN fl = 576-p 10 AND I PERFORM THE DIVISION: AND I FIND THAT Q IS ABOUT 57, SO 576 IS ABOUT 10 x 57. NOW I SEE THAT 10 AND 57 ARE NOT EQUAL, SO I CHOOSE A NUMBER BETWEEN THEM AS MY NEXT GUESS FOR THE SQUARE ROOT. I MIGHT CHOOSE A NUMBER ABOUT HALFWAY BETWEEN 10 AND 57, SAY, 35. I NOW DIVIDE 576 BY 35 TO FIND THE SOLUTION TO L7 x 35 = 576, TO SEE IF fl = 35. AND I FIND THAT 576 IS ABOUT 35 x 17. BUT THIS IS NOT EXACT, AND 35^ 17, SO I MAKE ANOTHER GUESS BETWEEN THESE TWO, SAY, 26. THEN, TO SOLVE D x 26 = 576 TO SEE IF T] = 26, I DIVIDE: 26 fy?6) 10 20 _2 22 SO I STILL DO NOT G E T A N E X A C T ANSWER 22 x ABOUT BETWEEN THEN, 26. 22 S O I MAKE A N D 26, Q I F x 24 247576 480 NOTICE 0 SAI, A, ANSWER GET 30 24 x 24 = SO x O AND THEN I S A NOTICE TIME FOR Q A NEW A GOT. I SEE I F Q 576, THAT WHAT WE HAVE SO THAT I COULD GUESS MIGHT ROOT 24. HAVE SO FAR 576 FOUND A NUMBER A GODD BEEN THAT ROOT. BETWEEN ANI FIRST FIRST THAT Z_ A FACTOR A GUESS, I F THAT I FI T I S NOT, AND T H EANSWER GUESS, BUTI SAVE I I MISELF GUESS. 10 =JlOO THAT J576 I FI MAKE TO G E TA N ANSWER, T H E SQUARE I C A NMAKE THAT B I / \ 576. I S TO T R I TO FIND DIVIDE I F I REALIZE TELL 24 =J AND B IR E A L I Z I N G B IF I N D I N G THAT 576 DONE s^T^OO, I WOULD R E A L I Z E 900, = = 576 . I HAVE I FI C A NMAKE EXAMPLE, F O R T H ESQUARE 4 0 D • 24, 576 I S 20 16" _96 AND GUESS THAT 24. S A I , = ANOTHER BUT I FIND SINCE AND 576 I S BETWEEN 20 =^400 A N D I S BETWEEN 400 20 A N D 30. A N D M I AND FIRST 25. S U P P O S E I T R I T O FIND/J1369. I KNOW T H A T CHOOSE 30 =^900 A NUMBER AND BETWEEN 30 40 =>Jl600, A N D 40, S O I KNOW T H A T S A I , 35. I WANT T O 328 THEN, IF I WRITE: 35fl369\ 1050 319 • x 35 = 1369, I SOLVE TO SEE IF 0 = 35. 30 -2 39 AND I FIND THAT I DO NOT GET AN EXACT ANSWER, BOT 1369 IS ABOUT 39 x 35. SO MI NEXT GUESS FOR THE SQUARE ROOT IS A NUMBER BETWEEN 39 AND 35, SAI, 37. 37 )~1369 1110 30 259 259 0 37 AND 37 x 37 = 1369. SO 37 =Jl369. Suggested end of. day 4. Hand students worksheet 1 to complete. ** The students w i l l now apply h i s technique f o r f i n d i n g square roots to f i n d i n g square roots of f r a c t i o n s . ** SUPPOSE I AM LOOKING FOR THE SQUARE ROOT OF A FRACTION, SAI v y WHAT CAN I DO? IF I0U RECALL, WE LEARNED BEFORE THAT WE COULD SEPARATELY FIND THE SQUARE ROOTS OF NUMERATOR AND DENOMINATOR AND FORM A FRACTION OUT OF THEM WHICH WOULD BE THE APPROPRIATE SQUARE ROOT. WE JUST FOUND BEFORE THAT I576 SO WHAT DO WE KNOW ABOUT A Sib ? Expect the answer: \ INDEED, 5%„ # 1 T " t & 1 x H = 2. f = 24 AND WE KNOW THAT^4 = 2. 329 IF WE WISH TO MULTIPLY OUT, WE SEE THAT HOTICE THAT WE MIGHT ALSO WRITE THIS: ^ = 576 x - 24 x 24 x X x = (24 x j- SO, 24 x ^ i; ) x (24 x M ) « ^ 576 x ^7" Ask the students to f i n d the square roots of the following f r a c t i o n s by f i n d i n g the square roots of numerators and denominators separately, but then v e r i f y i n g with a renaming of the f r a c t i o n i n a m u l t i p l i c a t i v e way (as above). I f the students have not seemed to adjust to the procedure of f i n d i n g the square root, do another problem l i k e the following one: To find^625, I f i g u r e that the square root must be between 20 and 30, since 20 =^4ob"and 30 ='j~900, and guess might be 24. 626 i s between 400 and 900. My f i r s t Then, I d i v i d e : 24) 625 480 / 20 145 144 6 1 26" and get D i s about 26 i n 24 x Q = 625. So, I t r y a new square root guess between 26 and 24, 25. I divide 625 by 25, get 25, and r e a l i z e that I have found the square r o o t . Hand students worksheet 2 to complete Suggested end of day 5. 330 Finding the Square Root of a Fraction Outline f o r approach A: WE HAVE ALREADY LEARNED HOW TO FIND THE SQUARE ROOTS OF SOME FRACTIONS AND WHOLE NUMBERS, BUT AS WAS MENTIONED EARLIER, THERE ARE SOME NUMBERS LIKE 12 WHICH DON'T HAVE WHOLE NUMBER SQUARE ROOTS, WE ARE GOING TO LEARN HOW TO DEAL WITH THESE NUMBERS, TOO, NOW. AGAIN, WE MUST DO A BIT OF REVIEWING FIRST. WHAT DO WE MEAN BY THE FRACTION y 7 7 7 3 x 7 HOW COULD YOU WRITE ^ Expect the answer: ? WE CAN MEAN 7 . AS A MULTIPLICATION EXPRESSION? 6 x ^- . Repeat t h i s procedure with T and -5- BECAUSE WE HAVE ALREADY LEARNED THAT IN FINDING SQUARE ROOTS, DIVISION WAS INVOLVED, LET US QUICKLY GO OVER SOME IDEAS ABOUT DIVISION. SUPPOSE I WANT TO SOLVE THE MULTIPLICATION QUESTION: WHAT DO I DO TO SOLVE THIS? Expect the answerL divide 32 by 8. HOW WOULD I SOLVE t l x 8 = 56? Expect the answer: divide 56 by 8. 8 x L 7= 32, 331 IT IS IMPORTANT TO SEE THAT IF A MULTIPLICATION QUESTION IS MISSING A FACTOR, I PERFORM DIVISION TO FIND THAT FACTOR. ONE FINAL THING TO RECALL IS THAT IN MULTIPLYING, MULTIPLICATION CAN BE DONE IN ANY ORDER AND FURTHERMORE, ANY NUMBER CAN BE MULTIPLIED BY 1 OR ANY FORM OF 1 WITHOUT CHANGING ITS VALUE. FOR EXAMPLE, ANOTHER EXPRESSION FOR AND YET ANOTHER WOULD BE 8 x 5 x 1 5x8 WOULD BE AND YET ANOTHER 8x5 8 x 5 x = 8 x 5 x ( 2 x - / ) . ^ ^ RENAME EACH OF THESE IN SEVERAL WAYS: 8x7 4 x 3 x 5 9x2 Ask a few students to read out t h e i r answers to these. ** Here the students w i l l review the idea that the square root of a whole i s found by repeated d i v i s i o n i n order to f i n d a number to multiply by i t s e l f to get the given number.** IF YOU RECALL, WE HAVE ALREADY LEARNED THAT IN ORDER TO FIND THE SQUARE ROOT OF A NUMBER, I AM LOOKING FOR ANOTHER NUMBER WHICH I CAN MULTIPLY BY ITSELF TO GET THE NUMBER I AM GIVEN. FOR EXAMPLE, 4 = j ~ l 6 . AND, AS YOU MIGHT ALSO RECALL, THIS IS THE PROBLEM OF GOING THROUGH A LIST OF MULTIPLICATION FACTS FOR THAT NUMBER AND PICKING OUT THAT FACT WHERE THE SAME NUMBER OCCURS AS BOTH FACTORS. YOU MAY REMEMBER THAT WE PERFORMED DIVISION WHEN THE NUMBER WE WERE TRYING TO FIND THE SQUARE ROOT OF WAS LARGE IN ORDER TO 332 MAKE THE PROBLEM EASIER. FOR EXAMPLE, TO FIND .324, I MIGHT SAY: SINCE 20 = J"400 AND 10 = | l 0 0 , THEN [jZk MUST BE BETWEEN 10 AND 20. LET US GUESS 15. SO, I SOLVE 15 x 0 » 324 TO SEE IF 11= 15. TO DO THIS, I DIVIDE 324 BY 15, 15 F324 _15_ _1 9 21 AND I SEE THAT 0 IS SLIGHTLY OVER 21. SO, 324 IS ABOUT 15 x 21. I WANT TO INCREASE MY GUESS FROM 15, SINCE BY INCREASING THAT I WILL ALSO DECREASE 21 AND MAYBE THEY WILL MEET. NUMBER BETWEEN THEM, SAY, 18. I SOLVE SO I GUESS A 18 x • = 324 TO SEE IF Q= 18. 18T"32S\ 180 10 144 144 8 o{ IB" AND 0 " 18, SO 18 x 18 = 324 AND«5i24~ = 18. LET'S TRY TO FIND THE SQUARE ROOT OF 729 BY THIS TECHNIQUE. I MIGHT MAKE A GUESS FOR THE FIRST FACTOR OF A NUMBER BETWEEN 20 AND 30 SINCE 20 - J400 AND 30 =J9OO AND 729 IS BETWEEN 400 AND 900. SUPPOSE MY GUESS IS 25. IF 25 x Q WANT TO KNOW IF D = 25. » 729 f25 = 729. I N 333 25)729 20 500 229 200 29 8 JL, 29 AND I FIND THAT Q IS ABOUT 29 SO 729 IS ABOUT 25 x 2 9 . NOW I GUESS A NUMBER BETWEEN 25 AND 29 AS THE FIRST FACTOR, SAY, 2 7 . AND I SOLVE 27 x 0 = 729, TO SEE IF • = 27. 27 x 27 = 729, SO 729 = 27, Hand students worksheet 3 to complete, Suggested end of day 6. ** Here the students w i l l learn about approximating square roots of wholes. ** WE KNOW THAT 2 IS TOO SMALL, SUPPOSE WE NOW WANT TO FIND SINCE 2 x 2 = 4 AND 3 IS TOO LARGE SINCE 3 x 3 = 9. SO WE HAVE A PROBLEM WE HAD NOT PREVIOUSLY FACED. ONE TECHNIQUE WE MIGHT USE IS TO CONVERT 5 TO A FRACTION AND TRY TO FIND A FRACTION NEAR IT WITH A PERFECT SQUARE ROOT NEAR IT. FOR EXAMPLE, WE KNOW THAT 5 = 5 x l = 5 x (25 x J . ) 25 - 125 x -jfe IS CLOSE TO 121 x WHICH HAS A PERFECT SQUARE ROOT OF 11 x JL = Jjr . BUT THIS MIGHT PROVE VERY LONG AND w? 5 334 \TEDIOUS IF WE DON'T FIND THE RIGHT FRACTION RIGHT AWAY. LET'S TRY TO DEVELOP A METHOD. SUPPOSE WE TRY TO FIND ^ 5 . WE KNOW THAT THE SOLUTION IS SOMETHING BETWEEN 2 AND 3 * CALL IT 2+ Q , WHERE 0 IS SMALLER THAN 1 . THEN, SINCE 2+ Q (2 +Q) LET US x (2 IS THE SQUARE ROOT OF 5 , WE HAVE + n ) = 5. HOW CAN WE MULTIPLY THESE NUMBERS OUT? WELL, JUST AS (2 4 x (5 + 6) = 4 x 5 + D )x + 4 x 6 , WE CAN CONSIDER: + Q ) - (2 + D) (2 x 2 + (2 + D) x D• THEN WE CAN REWRITE EACH OF THE EXPRESSIONS ON THE RIGHT: (2 + D) x 2 = 2 x 2 + Dx2 (2 + D) x Q= 2xtl+ Elxp AND Notice that the use of the d i s t r i b u t i v e law here i s very involved and i t may be necessary to go back to consideration of simpler examples, l i k e 2x (4 + 5) = 2 x 4 (2 + 3) x 5 + 2 x 5 or (2 + 3) x (4 and then d i s t r i b u t e again. + 5) = (2 + 3) x 4 + Try to use underlining to i n d i - cate the common term as above and make sure that the entire f i r s t expression i s viewed as the common term the f i r s t time the d i s t r i b u t i v e property i s used, but as the usual addends the second time through. That i s , the f i r s t time (2 + -O ) on the l e f t i s treated as a united quantity which travels together i n order to break up the r i g h t hand expression, but afterwards i t too i s broken up. THEN, WE HAVE THAT SINCE 2x2 (2 x 2) + (2 x-O ) + ( D x 2 ) + ( D x £ \ ) = = 4 , THAT MEANS THAT THE THREE REMAINING EXPRESSIONS MAKE UP THE ONE LEFT (5 - 4 ) , THAT IS: 5*1 335 (2 x f l ) + (Dx 2) + ( f l x D ) » 1. SUPPOSE WE PRETEND TEMPORARILY THAT WE CAN IGNORE THE Dx X] PART. BUT THEN WE HAVE (2 x £ ] ) + ( P x 2) = 1. 2 x D = Ox 2, SO WE HAVE (2 x t3) + (2 x C] ) - ( 2 x 1 1 ) + (2 x t ] ) = SO, 4x D = 1, so D IF WE ASSUME fl IS 1. x X_ USING THE DISTRIBUTIVE PRINCIPLE. IS ^ . , THEN WE NOTICE THAT x £/ IS ONLY WHAT NUMBER? Expect the answer: ^ . SINCE THIS NUMBER,flx £3 = jfc , IS LESS THAN , WE CAN SAY THAT WE HAVE USED UP MOST OF THE 1 ( 5 - 4) IN THE OTHER EXPRESSIONS BESIDES THE WRITE THIS: J3xp AND SO WE SAY THAT jfi~5 2 5 IS ABOUT 2^ . WE . WE MIGHT HAVE USED THE DIVISION PROCEDURE AGAIN, AS WELL. SO OUR FIRST GUESS WOULD HAVE BEEN 2. THEN WE WOULD DIVIDE 5 BY 2, AND GET: 4 2 1 2 UNFORTUNATELY, THIS GETS US INTO DIVISION WITH FRACTIONS SINCE OUR NEXT CHOICE WOULD BE A NUMBER BETWEEN 2 AND 2 AND SO WE WILL AVOID THE DIVISION TECHNIQUE FOR THE TIME BEING. SUPPOSE WE WANT TO FIND j}!?. WE KNOW THAT THE ANSWER MUST BE BETWEEN 3 AND 4, SINCE AND 4 x 4 = 1 6 , AND 13 IS BETWEEN 9 AND 1 6 . 3 x 3 =9 336 r SO, AGAIN, WE ASSUME THAT THE SQUARE ROOT IS A LITTLE OVER 3 , SAY, 3+ 0 . THEN, BECAUSE IT IS A SQUARE ROOT: (3 + 0 ) x (3 +PT). = 1 3 . WE CAN RENAME: (3 * 0 ) x (3 + JQ ) - (2JL&) x 3 + = (3 x 3) + ( 0 x 3) » THEN, I F (3 x D ) + (3 x D )+ (3 x D )+ (Px P )+ (D x O ) ) - 13, )+ (DxD )+ (Q AGAIN, LET US IGNORE THE D x D BUT, (3 x p + (3 x t l 9 + (3 x D ) + (3 x D 9 + (3 x O ) + (3 x D (3 x D (3 + D ) x D . x Q ) = 13 - 9 = 4 . TEMPORARILY, IF WE DO, WE GET ) IS ABOUT 4 . ) + (3 x D 1 = 6 x D AND I F 6 x Q = 4 , THEN ^ = 4 x 1 6 x ( 4 x Q ) = 4 x ( 6 x / SO, BY IGNORING P x H / SINCE £ ) = 4 x l = 4. , WE GET Q = . THEN, IF WE INCLUDE D x ft, WE GET JQ x £] - -| x ^ BUT SINCE THIS IS LESS THAN = j | • £ , WE DO NOT WORRY ABOUT IT, AND SAY THAT WE ARE CLOSE ENOUGH TO BE SATISFIED. WE WRITE: |~13 ^ 3 ^ SUPPOSE WE WANT TO FIND J 3 7 . I F WE DID NOT KNOW IN ADVANCE TO TRY A NUMBER NEAR 16^, WE MIGHT USE OUR DIVISION PROCEDURE TO CLOSE IN ON A NUMBER BETWEEN 6 AND 7 . FOR EXAMPLE, WE MIGHT DO: ) 4 x D = 37 TO SEE IF T D = 4. WE DIVIDE: 4) 37 2 1 9 AHD WE FIND THAT D IS ABOUT 9. SO NOW WE TRI A NUMBER FOR THE SQUARE ROOT BETWEEN 4 AND 9, LIKE 7. SO WE SOLVE: 7 x Q = 37 TO SEE IF j_ = 7. 7) 37 15. 2 5 AND WE FIND THAT 7 AND D IS ABOUT 5. SO NOW WE TRI A NUMBER BETWEEN 5, SAI, 6. __ 6 1 6" AND WE ARE BACK TO THE POINT WHERE OUR DIVISION PROCESS CANNOT HELP US. HOWEVER, WE DO KNOW FOR SURE NOW THAT fj SITS BETWEEN 6 AND 7* SO WE GO BACK TO OUR PROCEDURE OF BEFORE. WE KNOW THAT 37 = 6 + Q . SO, (6 +D) x (6 BUT, (6 + (6 + ) 6 (6 + D ) x £_ + (6x__ ) + = (6 x + t, ) x +O + = (6x61+(D x = 36 6) + (6 x + (Dx 6) )= = 36 + ( 6 x D ) + 37 D ) + (6 x Q )+ ( O xI I ) ( t l x (D x D) tJ) 338 THEN, SO, 36 + ( 6 x D ) + ( 6 x D ) + ( n x a ) = 37. (6 x p ) + (6 x D ) + (ft x TEMPORARILY IGNORING THE D x D in ) = 37 - 36 = 1. , WE FIND THAT (6 x D ) + (6 x D ) IS ABOUT 1. BUT, (6 x j_ ) + (6 x D ) = 12 x D IF WE THEN CALCULATE 0 x D , SO D IS ABOUT , WE GET ^ . WHICH IS MUCH SMALLER THAN J , SO WE ARE NOT TOO FAR OFF, AND WE CAN SAY THAT |37 £ 6 / 2 NOTICE THAT IF I HAD BEEN TRYING TO FIND J38, I WOULD HAVE DONE THE SAME THING UNTIL I SAID THAT 12 xfll IS ABOUT 1. THEN I WOULD HAVE SAID THAT 12 x D ABOUT 2 x J- = 4i . I STILL WOULD HAVE CHECKED TO SEE THAT fl x £f WAS SMALLER THAN THAN IS ABOUT 2, AND SO fl IS AND SINCE ^-x IS SMALLER , I WOULD HAVE ACCEPTED THIS APPROXIMATION . ACTUALLY, IT'S A LITTLE SMALL, SINCE IT'S THE SQUARE ROOT OF 38 + Suggested end of day 7Ask the students to work out the approximate square roots f o r each of the following and then ask students to come to the board to show t h e i r work. ^~8~ 18 50 67 ** Here the students w i l l learn how to approximate the square roots of f r a c t i o n s whose denominators are perfect squares, but whose numerators are not. ** S NOW SUPPOSE I WANT TO FIND THE APPROXIMATE SQUARE ROOT OF 7f . I HAVE ALREADY LEARNED THAT I CAN SEPARATELY ATTACK THE NUMERATORS AND DENOMINATORS AND PUT TOGETHER THESE SQUARE ROOTS TO FORM THE SQUARE ROOT FRACTION. SUPPOSE WE DO THAT HERE. WE FOUND THAT JT^ ii 2 ^ FROM OUR PREVIOUS WORK AND WE KNOW THAT =* 2. / SO THE APPROXIMATE SQUARE ROOT OF ^ SUPPOSE I AM TRYING TO FIND WE KNOW THAT j l 3 £ 3 7; LET'S DO THE SAME FOR AND IS ~ . /3 4 ' JV = 2, SO ^ . • WE CAN WRITE THAT THE APPROXIMATE Have the students f i n d approximate square roots f o r each of the following have a few students show t h e i r work on the board. Suggested end of day 8. APPENDIX B CRITERION TESTSPRETESTS COMPUTATION TESTS EXTENSION TESTS M u l t i p l i c a t i o n of a Mixed Number by a Fraction-Pretest Read each question. Answer the question i n the space provided on the hand side of the page. 1. 1. Q = 6x 3 = D 2. 2 x 9 = Q 2. D-- 3. 8 x 4 = • 3. a= 4. 6 x 8 = • 5. 7 x 5 = • 5. 6. 9 x 7 = • 6. 7.6x7= Q 7. Q-- 8. 8 x 9 = • 8. Q-9. D - 9. 6 x 6 = Q io. 0- 10. 8x 8 = D 11. +S 6 T = Q+ i 29-1 = Q+4 12. 13. -A. ± 31s =3 O s =5 •- Q +| o 11. "_ '• 12. Q-- 13. Q- l * . ft-" 15. Give a f r a c t i o n name to the shaded portion below: 15. 16. Shade i n 3 of the diagram on the r i g h t . 16 342 17. Give a f r a c t i o n name t o the shaded portion below: </f///////// 1 8 . Draw a diagram with "a right. shaded i n on the l i n e a t the 18. 3 19. Draw a diagram with ~z shaded i n on the l i n e a t the right. T 19. 20. D 21. Q x ^ X T 5 =1 20. =1 2 1 . 0- = -a n -g • Q= £- = 22. 23. 6 x 1 A = 3 x -g 22. 24. |- = U x ^ 24. Q = 25. -fc = Q x A . 2 5 . Q-- 23.____L 2 6 . What i s the length of a rectangle with a width of 2 feet and an area of 6 x 2 s q . f t . ? 26. 2 7 . What i s the width of a rectangle with a length of 8 feet and an area of 8 x 3 sq. f t . ? 27 28. What i s the area of a rectangle with width 3 f t . and length 5 f t . ? 28, 29. What operation would you use t o f i n d the area of a rectangle with length 89 f t . and width 38 f t . ? (Would you add, subtract, multiply, or divide?) 29. 30. Using the idea that to f i n d area, you f i n d the number of one-unit squares i n a figure, show how you would f i n d the area of the f i g u r e below: 2, '»i\c.Ws 30. Q-- 31. 1 x 6 = 32. Q 32. Q x 8 = 8 33. Q 239 • 239 33. Q= 34. 1 x ^ 34. ^ . 35. 33 x 24 x x « -_ 51 = 36.56xl9xD = 37. 27 x 56 x 65 x 38. 55 x ( Q + 33 35. Q = 1 9 x A x 4 8 36. Q - 24 x 41 = Q x 2? x 38) = (55 x Q x 42) + 56 x 41 (55 x 38) 39. Q x (23 + 872) = 8950 40. 6x (84 + D ) * (6 x 84) + (6 x 156) 37. __Q 38. Q 39. D 40. a * 41. What i s the area of the figure below marked with the question mark? 5 •> _L 41. 41. What Is the area of the figure below marked with the question mark? ^ 5 5 (o <f M u l t i p l i c a t i o n of a Fraction by a Mixed Number Read each question. Do your work i n the space provided below the quest i o n . Then write your answer on the l i n e to the r i g h t . There are 24 questions. 8. 4 x 2 13 9. 8 x 4:3_ _ '25 9. 10. 6 x 5I9 10. , 11. 9 x 6::-570 11, 347 12. 7 x 7yj~- 12. 13.f 13. 14. -|x|- 14. 15. £ x f - s 15. 16. A-J. 16. 17 • o, 17 - 44)- 18 18. 19. -J- x 8 ^ 19. 20. - f x 7$-- 20. 21. | x 7 ^ 21. 22. 22, 23. -?"x 8§- 23 349 24. %-x 24. 350 M u l t i p l i c a t i o n of a Mixed Number by a Fraction-Extended Instructions; Read each question thoroughly. Do your work i n the space provided below the question, but write your answer on the l i n e s to the r i g h t of the questions. For those questions which are divided i n t o parts (a),(b),(c), and (d), answer only part (d) on the l i n e to the r i g h t and do a l l other work i n the space below the question. 1. I f you know that that Jj- x %\ x _3 = 5io_ , you could a l s o t e l l a . What i s a 2. I f you know that D and Z_ 53 «V» ^ x "3 so that ^ PM4= 5^3-1 , f i n d values f o r x §| = ^ 1. __ . 2.D* 3. I f you know that t e l l that -g| x 13 x U_ 15 -^TTs = 15 d , you could also • What i s s ? O. 3.___ 13 ^ 4 . I f you know that "5" x ^ that —=- x ^ = -~ J__ = 135 , you could also t e l l . What i s -7^ D. 4. 5 . Write the following as a m u l t i p l i c a t i o n expression: _L 2. 3- 5 _.: :-.- 6. Write the following as s t r i c t l y a m u l t i p l i c a t i o n expression (not involving a d d i t i o n ) . Do not compute the answer. 6. ?. Write the following as s t r i c t l y a m u l t i p l i c a t i o n expression (not involving a d d i t i o n ) D o not compute the answer. 8. Find the answers to a,b, and c. Write the answer to (d) on the l i n e to the r i g h t . The f i r s t three answers are only meant to help you with the answer to ( d ) . ( A i s a whole number). -5 (a) X (b) X (c) X (d) m ^F3X Mr 3 q "? /\ /S w 5 Q X 8. 9 . Find the answers to a,b, and c . Write the answer to (d) on the l i n e to the r i g h t . ( Q i s a whole number). 3 x xi 4 = Q X 9 x - a = 17 9. a 10. I f 3 x * ^ « 1 2 ^ , what i s Q ? 10. S3 11. If 5 x Q | = 20 |- , what are Q and _\ ? U.D-_ 15 S, 12. If Qx3Tu = 9 7Q _, , what i s Q ? 12._a 13. If ] x D ^ j = 3 -| + ^ . what i s Q ? 13. 14. I f ^ x 5 . »| + -1 , h a t i s W O S 14. Z, 15* How would you use the rule for multiplying a fraotion by a mixed number to multiply a mixed number by a mixed number- for example, to multiply: 2 ^ x 3 "5 • Show a l l of your steps i n the space below and write the answer on the line to the right. 15. 16. Find: 1 A 16 353 17. Q a Find: 17.. 18. Find the answers to a,b, and c. Write the answer to (d) on the l i n e to the r i g h t . The f i r s t three answers are only to help you with ( d ) . (a) 23 X (b) 2 ^ x4^ 5 ^ 8 = 4x 2 *V3 = 4 x '/* a/s = 2 x '/5 + '/l5 = 'fex '/5 = 3x2 1 = 3 xx V4 = 2 x ift, + '/lz = '/U 'A Q _=L o n ^L i o (c) A (d) x 1 is x 11 3 = 1x3 5 /\ W(-= 3 x-Vw = Vs x »/L + ^3b o i a 19. What i s (6 x - | ) x 5 ^ 19. 2 0 . What i s ( i 3 x l ) x 2 2 20. 2 1 . What i s 2 -| x ( j x 3) ? 21 2 2 . What i s ( 4 x-^- x -| )x 2 ? 22. 23. If ( 3 x | ) x 3 £ = § * 9 2 • w h a ti s § ? 23. 24. I f ( 6 x ^ ) x 5 y = | - + 9 - 2 . what i s £ U A ? a 24._^ 25. If ( 4 x 3 )x A % = ^ + 15 . what i s ? D 25. "1 * i - ^ if • 2 6 . Find values f o r Q and 0 2 so that + 26. p ° 355 For the next four questions, write your answer i n the space below the question. 27. Susie has suggested another r u l e f o r multiplying f r a c t i o n s . multiply, f o r example, - j - x y To , she doubles the f i r s t f r a c t i o n ' s numerator and doubles the second f r a c t i o n ' s denominator and then multiplies• Shi claims that her answer i s equivalent to the one which the teacher 2_ gets by multiplying by the method taught i n c l a s s . ( 4 J" x 5 8 = W i l l she always get equivalent answers to yours? Why do you think 3 she should? Use 2 x 9 as an example. 15 ) 356 28. Johnny has suggested another rule f o r multiplying f r a c t i o n s . To multiply, f o r example, -y- x T J - , he finds the answer to -y x |- . He switches the numerators of the f r a c t i o n s and then m u l t i p l i e s . He claims that h i s answer i s equivalent to the one which the teacher gets by the method taught i n c l a s s . W i l l l h e always get equivalent answers to yours? Why do you think he should? Use ^- x & as an example. 2 9 . Sam has suggested a rule f o r multiplying two f r a c t i o n s , too. To f i n d the answer to, f o r example, ~§" "5" , Sam finds the answer to -^-x 5_x and then turns the f r a c t i o n upside down. In other words, he turns both f r a c t i o n s upside down, m u l t i p l i e s , and then turns h i s answer upside down. He claims that h i s answer i s the same as the one the teacher gets by the method taught i n c l a s s . W i l l he always get the same answer as yours? Why do you think he should? Use -3-x •§- as an example. 357 30. Judy has suggested a way to check m u l t i p l i c a t i o n of f r a c t i o n answers. She says that one can be sure that and A T d « b. 6~r2 = 3 and 45 -5- x ^" = For example, i t i s true that 9 = 5« ^ if x Qf c = a s i n c e Can you be sure i f your answer i s r i g h t by checking with Judy's method? Why do you think so? 358 Changing Fractions to Decimals-Pretest Read each question. Answer the question i n the space provided on the r i g h t hand side of the page. 1. Give a f r a c t i o n name to the shaded portion below: ft 1. 2 . Give a f r a c t i o n name to the shaded portion below: 3 . Shade i n "jr of the diagram on the r i g h t . 3. 4. Draw a diagram with shaded i n on the l i n e t o the r i g h t . 4. 5 . Draw a diagram with -jr- shaded i n on the l i n e to the r i g h t . 5. 6 . What equation would you write t o describe the action i n sharing 27 marbles among 3 people. 6. 7 . What equation would you write to describe the action i n sharing 18 cupcakes among 6 children? 7 359 3. What problem would you write to describe the action i n sharing 24 pencils among 8 students? 8. 9. Draw a diagram below showing why 8 r 4 = 2. 9. 10. Draw a diagram showing why 12 -f D = 4. Use the space below f o r the drawing and f i n d the value of Q . 10, 11. Divide: 11 ] 425 11. 12. Divide: 20 ) 5834 12 360 1 3 . Divide: 7 J~2859 13. 14. Divide: 25P^32 1 5 . Divide: 6 J384 15. 16. Write the following m u l t i p l i c a t i o n statement as a d i v i s i o n statement: 532 x 18 • 9576 16. 361 1 7 . Write the following d i v i s i o n statement as a m u l t i p l i c a t i o n statement: 492-rl23 = 4 17. 18. Write the following d i v i s i o n statement as a m u l t i p l i c a t i o n statement: QT6--/_ 18. 1 9 . Write the following m u l t i p l i c a t i o n statement as a d i v i s i o n statement: • x 6 = A 19. 2 0 . Write the following m u l t i p l i c a t i o n statement as a d i v i s i o n statement: Q x = O Z\ 20. 21. • x "Z{ =1 22______ U 8 23. $ =!4x 24. 2. = D x ^ 25. % - x i 2 6 . 74 2 312 . ^ 21. 22. 7 x x 83 x 25 Q % 0 x 77 x Q- =1 2 3 . _ _ _ 24. 25. - Q Qx 87 x = 7 4 43 x 77 x & x 25 x 312 a= 2 6 . O* 27. Q R ;._V- x 28. 45 2 9 . 1 30. fl x x x 213 576 87 = Q x 203 x = D (37^ + 596) = 37^ + 596 87 28. 0 29. D 3 0 . 0 Changing a Fraction to a Decimal Read each question. Do your work i n the space provided below the quest i o n . Then write the decimal equivalent f o r the given f r a c t i o n on the l i n e to the r i g h t of the page. There are 18 questions. 364 5 . _Z = 10 6. 13,= 25 7. 1220 8. 32 = 50 8 365 9. 2 # 3 9. 10. 11. i/7~ 11. 12. 2 ^ 9 ^ 12 13. 2 p 7 13. 14. 8 A- 14. 15. 11 * 15. 16. 13 16 17. 17. is. i i ^ 17 18. 368 Changing a Fraction to a D8oimal-Extended Instructions: Read each question thoroughly. Do your work i n the space provided below the question, but write your answers on the l i n e s to the r i g h t s , o f the question. For those questions whieh are divided into parts (a),(b),(c), and (d), answer only part (d) on the l i n e t o the r i g h t and do a l l other I f a Q.or a j \ work i n the space below the question. t i o n , the value of the Q or ^ appear i n a ques- i s the same throughout the question. Do not compute t h i s value. 1. I f you know that the decimalJfor say that the decimal f o r -jC you can 1.333. 4 2 x --r- ci- 7 . i . 7 2 . For each part, f i n d the decimal equivalent required. Write the answer t o (d) on the l i n e to the r i g h t . The f i r s t three answers are only meant to help you with the answer to (d). 4 (a) I f you know that the decimal f o r " (b) I f you know that the decimal f o r 10 (c) I f you know that the decimal f o r 3 x you can * =.600, X you can 5 6 y ^ . 8 5 ? , also t e l l that the decimal f o r _Q^ J / Z you can __________ J . 2 9 5 , you can (d) I f you know that the decimal f o r also t e l l that the decimal f o r "~.666, 4 rIQ x ~ 6 — also t e l l that the decimal f o r also t e l l that the decimal f o r r D 6 ,. io x a £ 7 _________ Z. 7 - 369 3. For each part, f i n d the decimal equivalent required. Write the answer to (d) on the l i n e to the r i g h t . Do a l l other work below. (a) I f you know that the decimal f o r 7 j - ~ .666, you can also t e l l that the decimal for ^ ^ X . (b) I f you know that the decimal for*y- = .600, you can also t e l l that the decimal f o r ^ * ^ - . (c) I f you know that the decimal for—4-^.857» you can also t e l l that the decimal for 10 * 6 ^ ~ .295, you can (d) I f you know that the decimal for also t e l l that the decimal f o r 1 0 _ 6 ^ ? 3._lL 4. I f you know that the decimal for^Tj =.28, you can also t e l l that the decimal f o r 251 x.2 „ 4. 3 5. I f you know that the decimal f o r ^ — = .06, and the decimal f o r = ~ = ? . 5._Ll Q 6. I f you know that the decimal for _ j = .600 and the decimal for -J^ .467, then you can also t e l l that the decimal f o r = 15 ? 15 6. T: ?. I f you know that the decimal f o r = 1.0625, then you can also t e l l that the decimal f o r = 7 7 8. I f you know that the decimal f o r _ j | ^ .571 and that the decimal f o r = .5, then you can also t e l l that the decimal f o r §|J = ^ ^ ? 9. For each part, f i n d the decimal equivalent required. Write the answer to (d) on the l i n e to the r i g h t . Show a l l other work below. (a) I f you know that the decimals f or -fy K .444 and 2 -Q # .222, then you can also t e l l that .666 i s the a approximate decimal f o r what f r a c t i o n ~2> ? (b) I f you know that the decimals f o r £^-£.187 and Q _ | = .500, then you can also t e l l that .687 i s the a approximate decimal f o r what f r a c t i o n (c) I f you know that the decimals f o r ^ 2 Q = .200, then you can also t e l l that 7^ ? ~ '750 and . 9 5 0 i s the a approximate decimal f o r what f r a c t i o n (d) I f you know that the decimals f o r ^ ? = J074 and 12 - Q = .024, then .098 i s the approximate decimal f o r £> what f r a c t i o n ~Q ? Do not f i n d the value of D . 10. I f you know that the decimal f o r -j£ .666, also t e l l that 3 x Q £. 2, where Q then you could i s a decimal? 10. • 11. I f you know that the decimal f o r -|~ =.400, then you 5 x Q could also t e l l that =2, where • i s a decimal? 11. Q 12. £ . 4 5 , what whole number i s Q I f the decimal f o r ? 12. Q g 13. I f the decimal f o r Q£. .81, what whole number i s Q ? 13. Q a 14. I f the decimal f o r -g £ .88 and the decimal f o r - Q £ . 5 5 » then .33 i s the approximate decimal f o r what f r a c t i o n ? Do not f i n d the value of Q . 14. ~ n 372 15. I f the decimal f o r = .04, what whole number i s Q ? 15. 16, Suppose the decimals f o r • 50 = A «56 and f o r " ^Q"=.48. I f the decimal ( . 5 6 - . 4 8 ) = .08 i s the decimal equivalent X f o r the f r a c t i o n tionship between ^o» what can you say about the r e l a D , -A , and Y" • 16. O 17. I f you know that the decimal f o r ^ <89, then what s decimal can I multiply by A to get O ? 17. 18. How would you use the rule f o r changing a f r a c t i o n to a decimal to f i n d the decimal f o r a mixed number, l i k e 2 2 ( i n two d i f f e r e n t ways. Show a l l of your work i n the space below and write the decimal equivalent on the l i n e t o the right. 18 373 19* Find the decimal equivalent f o r the denominator i s 0.3} 2 . Notice that (or 3 tenths). 19. 2 0 . Find the decimal equivalent f o r Q~—>. 20. 0 7 2 1 . Find the decimal equivalent f o r 21. 2 2 . Find the decimal equivalent f o r \ 22. 2 3 . Find the decimal equivalent f o r "3" 23. 2 4 . Find the decimal equivalent f o r 24 374 25. Find the decimal equivalent f o r 2526. Find the decimal equivalent f o r _____ . 26. For the next four questions, write your answer i n the space below the question. 27. Susie has suggested another r u l e f o r f i n d i n g the decimal equivalent for a fraction -5". She m u l t i p l i e s each of the numerator and denomina- tor by ten, and then she divides the denominator i n t o the numerator. 3 For example, to f i n d the decimal f o r •—, she divides: 50f30 50 ) 30.0 50J 300 tenths 300 tenths 0 tenths 6 tenths 6 tenths = .6 She claims that her answer i s alwasy correct, and the same as the one the teacher gets by using the method taught i n c l a s s . always get the r i g h t answer? Why f i n d the decimal f o r W i l l Susie do you think so? Show how Susie would -g~ and explain why her method seems to work. 375 28. Johnny has suggested another method f o r f i n d i n g the decimal equivalent f o r a f r a c t i o n when the numerator i s larger than the denominator. He subtracts the denominator from the numerator and then divides this number by the denominator. writes: 6-4 4f l f For example, to f i n d the decimal f o r -j^, he = 2, so I divide -5> 4 f X o 2 by 4. ~i> 4 r2"0~~£enths 20 tenths 0 tenths Then he adds one t o the answer, t o get 5 tenths 5 tenths = . 5 . .5 + 1 - 1»5» He claims that h i s method always works f o r problems where the numerator i s larger than the denominator. Is he correct? Show how Johnny, Q would f i n d the decimal f o r ^ work. and explain why h i s method seems t o 376 29. Sam's rule f o r finding the decimal equivalent to a given f r a c t i o n i s very much l i k e Susie's ( i n problem 2 7 ) . but instead of multiplying numerator and denominator by 10, he multiplies each by 100 and then divides. For example, to f i n d the decimal f o r 500 H O O -*500 he divides: J 300.0 -^>500 ) 3000 tenths 3000 tenths 0 tenths 6 tenths 6 tenths = .6 . He claims that his answer i s always c o r r e c t . W i l l Sam always get the correct answer? Why do you think so? Show how Sam would f i n d the decimal f o r "g~-i-d explain why h i s method seems to work. 30. Judy's method f o r f i n d i n g the decimal f o r a f r a c t i o n i s very much l i k e Johnny's, only hers works f o r any f r a c t i o n . She adds the denominator to the numerator and then divides t h i s number by the denominator. For example, to f i n d the decimal f o r j^r she writes: 4pib -> 4 ) 10.0 ~> k) 100 tenths 100 tenths 0 tenths 6+4 = 10, so :;. 25 tenths 25 tenths = <»2.5 Then she subtracts one from t h i s answer, to get 2.5-1 - 1.5* She claims that her method always works. Show how Judy would f i n d the decimal f o r and explain why her method seems to work. Comparing Fractions- Pretest Read each question. Answer the question i n the space provided r i g h t hand side of the page. on the Q: 1. 6 x 3 = D 1. 2. 2 x 9 * U 2.0: 3. 8 x 4 =Q 3. Q-- 4. 6 x 8 = 0 5 . 7 x 5 = tj 5 . 0 = 6. 9 x 7 = d 6. 7. 6 x 7 11. = Q D = 7. _ Q i . 8 . 8 x 9 = D 8. 9 . 6 x 6 = Q 9. 10. 8 xT8 =Q a_ io. Q-- Give a f r a c t i o n name to the shaded portion below: 11. 12. Shade i n 3 of the diagram on the r i g h t . 12. 1 3 . Give a f r a c t i o n name t o the shaded portion below: 13. 373 14. Draw a diagram with 3 shaded i n on the l i n e a t the r i g h t 14. 15. Draw a diagram with shaded i n on the l i n e a t the r i g h t . 15. 16. Is the f r a c t i o n representing area (a) more than, l e s s than, or the same as that representing area (b)? (a) (b) 16. 17. Is the f r a c t i o n representing area (a) more than, less than, or the same as that representing area (b)? (a) (b) Ji 17. 18. Is the f r a c t i o n representing area (a) more than, less than, or the same as that representing area (b)? 18. 19. Is the f r a c t i o n representing area (a) more than, l e s s than, or the same as that representing area (b)? (a) (b) 19. 2 0 . Is the f r a c t i o n representing area (a) more than, less than, or the same as that representing area (b)? (a) (b) /A m _4 20. 2 1 . What statement does the diagram below suggest? (For example, suggests \ ' \ ) 21. 2 2 . What statement does the diagram below suggest? 22. 2 3 . What statement does the diagram below suggest? 23. 24. 33 x 24 x 51 = 24 x Ox 33 24. UU 25. Q; 26. QD- 25 . 56 x 19 x 48 = 19 x • 26 . 27 x 56 x 65 x 41 = 27 x Q 27. H x 5- =1 27. 28. Q x \ =1 28. __T__ 29. 30. 6 x ^ = 1 I =3 x a 31. Tf 32. <_ = n 5 = • X \ x 4. 5 x 48 x 56 x 41 Q. 29 n 30 31. 32. D • 3 3 . Which i s larger, 44 x 13 34. Which i s larger, 69 x 158 3 5 . Which i s larger, 15 x 4 52 x 13? 33. or 32 x 158? 34. or 16 x j? ? 35. or 381 Comparing Fractions Read each question. Do your work i n the space provided below the question.. Then write the greater of the two f r a c t i o n s or whole numbers on the l i n e to the r i g h t . There are 27 questions. 1. i | - or 3 2. or 2 3. 4* or 2 4. 23_ 5 . 6. or 5 .2|_or 4 or 5 6 8. 68. or 8 8. 9 . 10. 11. 5| or 10 3 4- -f 9. 10. or ll. k 12. f or 2y 12, 13. | or | 13 15. -f or 4- Ik. 15. 16. 4 i or 16. 17. X0~ or 17. 18. 19. 20. 4 or -I- 4- 19- _9_ 2 20 384 21. f o r i 21. 22. 10 3 nr. ^ or -jj- 22, 23. -j" « y 23. 24. 4- or X 4 24. 25. 26. _7_ nr. ^ 5 or -g- f 25. 10 or 7 26, 27. -f« 1 27 385 Comparison of Fractions-Extended Instructions: Read each question thoroughly. Do your work i n the space provided below the question, but write your answers on the l i n e s to the r i g h t of the questions. For those questions which are divided into parts (a),(b),(c), and (d), answer only part (d) on the l i n e to the r i g h t and do a l l other work i n the space below the question. Do not f i n d a value f o r Q 1. Which i s greater: 2. Which i s greater: O ~yj 87 Q. i s the same number i n both fractions. . or D JQ or 88 ~ ? ? 2._ 3. For each, f i n d which i s greater. Write the answer to (d) on the l i n e to the r i g h t . The f i r s t three answers are only meant to help you with the answer to ( d ) . (a) (b) f 4 (c) | (d) or or or CL o r A*. i O-i 3 386 4. For each, f i n d which i s greater. Write the answer to (d) on the l i n e to the r i g h t . The f i r s t three answers are only meant to help you with the answer to ( d ) . (a) y (b) or 1? ^ or X (o) or (d) _a_ or 28 834 13- 78 J-L, 729 5. For each, f i n d which i s greater. Write the answer to (d) on the l i n e to the r i g h t . The f i r s t th»ee answers are only meant to help you with the answer to ( d ) . (.) (b) (o) 3- l ioror (d) ^ or or D 6. For each, f i n d which i s greater. Write the answer to (d) on the l i n e to the r i g h t . The f i r s t three answers are only meant to help you with the answer to ( d ) . (.) -|ji or JIVI 3 (b) (o) or 3 33g_ -2^or 6 384 7. I f 8. I f -^29 387 _3_ ^ Q » what can you say about Q. 7 483 x 25 > 365 x 18, which i s greater: 2 x 483 365 2 x 18 o r ~~2T~ 8. 9. I f 6 x 18 > 13 x 8, which i s greater: 6 13 10. I f 0 _8 18 r 17 x 11 ^ 14 17 ° 14 x 15, which i s greater: r 11 15 10. 11. If 82 x 15> 82 Q 12. If 63 x Q , which i s greater: 63. o r 8 x (5+ Q 15 )>6 x 3, which i s greater: 12 388 13. I f 425 x 211 4 310 x 316, which i s greater: 425 - 310 310 316 - 211 211 _ 0 13.. 14. I f 6 x (3- • 6 5 ) > 2 x 5. which i s greater: 2 or I " 14. 15* Use the r u l e f o r comparing f r a c t i o n s to compare two whole numbers, 5 and 7. Show a l l of your steps i n the space below and write the greater of the two numbers on the l i n e to the r i g h t . (Hint: Write them as f r a c t i o n s f i r s t . ) 15._ 16. Use the rule f o r comparing f r a c t i o n s to compare the two mixed numbers, 2 '/j and 2 HS . Show a l l of your work i n the space below and write the greater of the two numbers on the l i n e to the r i g h t . 16. 17. Use the rule f o r comparing f r a c t i o n s to compare <Z/5 to <£°/<| . Write the larger on the l i n e to the r i g h t . 17. 2 a. 18. Use the r u l e f o r comparing f r a c t i o n s to compare 5 3 to 31 . Write the larger on the l i n e to the r i g h t . 18. 19. I f 22 x Q = 83 x A or equal to Q ? , i s g? more than, less than, ^ 19. 20. You know that 7? = ^ i f 22 x A s 20, 2 1 . You know that ii & = —rr o i f = ? 21. 2 2 . Arrange these three f r a c t i o n s from l a r g e s t to smallest. 1 5 11 30 _Z 12 22. 390 2 3 . Arrange these three f r a c t i o n s from l a r g e s t to smallest: _ 9 2 3 _6 11 23. Largest, ,3m. 24. Arrange these three fractions from largest to smallest: 3 10 9 2k. Largest, 2 5 . Find three f r a c t i o n s l e s s than ,Sm, 2 ^ 25.. 2 6 . Arrange these three f r a c t i o n s from l a r g e s t to smallest: 3 13 6 25 14 52 26 Largest, ,Sm. 391 For the next four questions, write the answer i n the space below the question. 27* Susie has suggested another rule f o r comparing f r a o t i o n s . To decide f o r example, i f -fr- 7 ^ If 7 ^ , then , she compares ~§" ^ "9" * ^ n e to . s w i s h e s the f i r s t denominator with the second numerator and then compares these to decide i f the o r i g i n a l f i r s t f r a c t i o n l i s greater than the o r i g i n a l second f r a c t i o n . She claims that her answer i s always the same as the one which the teacher gets by her method. W i l l Susie always get the r i g h t answer? Why do you think she should? Show how Susie would compare Explain her method and why i t works. and . 392 28. Johnny has suggested a method f o r comparing f r a c t i o n s when the numerator of the second goes i n t o the numerator of the f i r s t exactly and the denominator of the second goes i n t o the denominator of the f i r s t 3 15 exactly. For example, h i s method works f o r comparing -j^- since 3 goes i n t o 15 the exactly and so does 4 i n t o 16. and -jip Johnny decided i f f i r s t numerator divided by the second i s greater than the f i r s t denominator divided by the second, then the f i r s t f r a c t i o n i s greater than the second. For example, 15^3 = 5 and 16-r 4 = 4 and 5 > 4, so y y. Does Johnny's method always work f o r these kinds of 16 4 24 4 problems. Explain why, using the problem of comparing 25 a n "5 d as an example. 29. 2 4 Sam says that-^g^-g whenever for example, —: and —^ ^ ^and only then, so to compare, , he discovers that 1 g-^-^- •< 3 x V concludes that the f i r s t f r a c t i o n i s greater than the second. Sam 8 0 ^ e Does 's method always work f o r comparing fractions? Explain what Sam would do and why he i s oorrect by comparing a n < * by h i s method. 393 30. Judy says that she can t e l l i f a r i g h t away. I f ~y ( b x o ) -V- d, then the f i r s t f r a c t i o n i s l a r g e r . 2 to compare - j is y ~ 12 T 9 = 1 Y For example, 4 and • -9- , she says Therefore, 2 > (4 x 3 ) v 9t since (4 x 3) 7" 9 the f i r s t f r a c t i o n i s greater. Does Judy's method alwasy work f o r comparing fractions? Explain what Judy would do and why she i s correct by comparing and -5- by her method,. Finding the Square Root of a Fraction-Pretest Read each question. Answer the question i n the space provided on_the r i g h t hand side of the page. 1. 8x7 = Q 1 . 0: 2 . k x 9 = 2 - • . - D 3. 6 x 5 = 0 k. 9x 2 = • Q: 4 . 5. 7 x 5 = O <. Q-- 6. 6 x 8 = • 6. T> 7. 7. n-- s. a , 9. 6 x 7 = • Q. n= 10. I G . 8. k x 5= D 9 x 8 = 0 7x7=0 11. Give a f r a c t i o n name t o the shaded portion below: /A 12. (7/ 11. Give a f r a c t i o n name to the shaded portion below: 12. 13. Shade i n -5 of the diagram on the r i g h t . a-- 14. Draw a diagram with -77 shaded i n on the l i n e to the r i g h t 14. 15. Draw a diagram with -— shaded i n on the l i n e to the r i g h t . 15. 16. Write the following m u l t i p l i c a t i o n statement as a d i v i s i o n statement: 532 x 18 = 9576 16. 17. Write the following d i v i s i o n statement as a m u l t i p l i c a t i o n statement: 492- 123 = 4 17. 18. Write the following d i v i s i o n statement as a m u l t i p l i c a t i o n statement: Qr 6 = 6 18. 19. Write the following m u l t i p l i c a t i o n statement as a d i v i s i o n statement: • x6 =_\ 19 396 2 0 ; Write the following m u l t i p l i c a t i o n statement as a d i v i s i o n statement: 20. 21. 22. Q x ^ =1 n 8 x S * 1 21. Q = a 22. 7\: 14 f\„ _ Q 23. ^ = 14 24. 3. = 25. ?f = 26. ?4 27. 312 28. 45 29. 1 x M H Q x X Q 24. x1 D- 25. n = x 83 x 77 = Q x 7^ x 77 x 25 x £} x 87 n 23. -7^-' = 43 x A x 25 x 312 x 203 x 87 = • x 203 x 87 x 576 = D 30. Q x (374+596)= 374+596 26. Q =• 27. Q - ;/V 28. Q- 29. O 30. Q - 31. What i s the length of a rectangle with a width of 2 f t . and an area of 6 x 2 sq. f t . ? 31. 3 2 . What i s the width of a rectangle with a length of 8 f t . and an area of 8 x 3 sq. f t . ? 32. 33. What i s the area of a rectangle with a width of 3 f t . and a length of 5 f t . ? 33 397 34. What operation would you use to f i n d the area of a reotangle with length 89 f t . and width 38 f t . ? (Would you add, subtract, multiply or divide?) 34. 35* Using the idea that to f i n d area, you f i n d the number of one-unit squares i n a f i g u r e , show how you would f i n d the area of the figure below: 35. 36. Divide: 11 [425 36, 37. Divide: 20 )~5834 37 38. Divide: 7 [2859 38. 39. Divide: 25) 4632 39. 40. Divide: 6 J384 40 Finding the Square Root of a F r a c t i o n 399 Read each question. Do your work i n the space provided below the quest i o n . Then write the square root of the f r a c t i o n on the l i n e to the r i g h t of the page. There are 15 questions. 1. 2. 3. \2764 ]W A) US 4. 401 9 - 9. . \~To~ 10. ii. HT A9 n. 12 13. A) 25 13. 14. Uo~ \]16- 14. -w 15 15 403 Finding the Square Root of a Fraction-Extended Read each question thoroughly. Do your work i n the space provided below the question, but write your answers on the lines to the right of the questions. For those questions which are divided into parts (a),(b),(c), and (d), answer only part (d) on the l i n e to the right and do a l l other work i n the space below the question. I f a Q or £_ appear i n a question, the value of the Hor /_ i s the same throughout the question. 1. I f you know that = , then you can also t e l l that i. 2. I f you know that ^ " ^ J ^ 1 _PC = a t e l l that ^ ^ and Tx~25~= ±i D- )16" & ^ » then you can also t e l l that = . What i s 3. I f you know that^_|- = a . What i s X, you can also nbL ? 3._JVl 404 4. For each part, f i n d the square root required. Write the answer t o (d) on the l i n e to the r i g h t . The f i r s t three questions are only meant to help you with the answer to ( d ) . (a) I f you know that =-_p (b) I f you know that = (c) I f you know , you can also t e l l that = IS . , you can also t e l l that thatj^jo" »y° (d) I f you know that ,\1T= *i y 4, D uc a n a l s o t e l l that = ^ j^|j-= ^ . you can also t e l l t h a t l ^ r = A) x £3 _6 4. ^ r t f j ^ _5. ^ t is 9 • £ ^y- , you can also t e l l that 5. I f you know that /\ __ ? /s u 5. 6. I f you know that 4 25 - — x 100 ^ » y°u c a | 1 5 * What i s -5 "__ /_ * also t e l l that ? JQ 6. __ 2 47. I f you know that TP"* * 'T- •——• , you can also t e l l that .What i s T . 405 8. I f you know that \ ^ ~ t e l 1 t h a i _ f ¥ f = t ^ % and ^J j£ = . What i s ^ . you can also n ? a 8, A 9. For each part, f i n d the square root required. Write the answer to (d) only on the l i n e to the r i g h t . (a) ^ = ^ = "S ( b ) l i f (c) /Jioo = x x i25 x >Jioo" 9.______ 10. 1 D _ i5T~ 9 = 10. A) O E1-- 8 ll.___ 12. \Q „ 4^ X 2 9 _ 2 ' 6" i2. n- 406 13. How do a and b compare i f / ^ - i s greater than 1? 5 Z H- 14. I f you know that^j 13. A and l¥ 5 then you can also t e l l that <4 (z\ 3 v What i s Q v Q i 14. Y" 15. I f you know t h a t = what i s Q ? 15.. 16. Find values f o r Q and £\ so t h a t ^ - * - ^ " 8 = . 16. 17. I f you know that 1 | 1 and = ?, , then 8 you can also t e l l that 161 x 7 £ 87 _ x 161 7 Do not f i n d values f o r O and O x J9_ _ 87 -=p . . Express in V terms of D and . 17 407 18. Find a f r a c t i o n £ 19. Find a f r a c t i o n £ ^ 19.. 20. Using as an example, show how you;would use the r u l e f o r f i n d i n g the square root of f r a c t i o n s to f i n d square roots of wholes. 20. 21. How would youiuse the r u l e f o r f i n d i n g the square roots of fractions to f i n d the square root of a mixed 9 number, l i k e 1 _g . Show a l l of your steps and write the actual square root on the l i n e to the r i g h t . 21 16 22. Find Ai 49 22. _25_ 4_ 23. Find 64 24. Find _3 23. 16 24. 25 81 25. Find AJ 49 26. Find 25. 26 For the next four questions, write the answer i n the space below the question. 27. Susie has suggested another method f o r f i n d i n g square roots of f r a c t i o n s . She saya that i f she wants to f i n d and then m u l t i p l i e s the answer by For example, to f i n d r_5 53 A} _ 8 - ~ ? a and n A 1 ^ , she f i n d s /\**- * a • she says that 4 x 16 = 64; then, 3- - - . _ 8 _ _8 x She claims that her answer i s always correct and equivalent to the one the teacher gets by using the method taught i n c l a s s . W i l l Susie always get ah answer equivalent to the teacher's i f she follows her directions correctly; Show how Susie would f i n d /\J^|Q method and explain why i t seems t o work. using her 410 28. Johnny says that another way to f i n d ^ J ^ i s to f i n d J^a. x b and then f i n d b~ and ,$400 = 20. Therefore, F o r e x a m » he says 16 x 25 = 400 P « to f i n d l e = . He claims that he always gets an answer equivalent to the teacher's using the method taught i n class. Is he correct? Show how Johnny would fincLU Q 0 and explain why his method seems to work. 29. Sam says that he has s t i l l another way to f i n d \ ^ " . He says A . For example, to f i n d -^"|r * and §tQ0 = 20. Therefore, h e s a y s 16 x 25 = 400 = -|°^ . He claims that his method i s correct. Show how Sam would f i n d ^ ^ Q and explain why his method seems to work. . To findj^_-, Judy finds For example, to f i n d ^ = _ f and 2 x and then m u l t i p l i e s her answer by she says 25 x 4 = 100 and then So.^_f-_|. She claims that her method i s correct. _Q0 Show how Judy would f i n d and explain why her method seems to work. APPENDIX C STUDENT WORKSHEETS 413 Worksheet 1 For each question, show a l l of your work f o r the problem beneath i t . 1. 4 x TT- 2. 3 x = = 3x1- 3. 2 x 1 = 5 4. 5. 6 x 6. 8 u i 5 _3 5 8. 3 x 2 If 7. 2 x 3 <j 9. 4 x 3 75 ~j = = 414 Worksheet 1 Write each of these i n decimal form: 1. 56 To 1. 2. 4^- 2. 3. «- Ik 4. 35 4. 5. If 5. 6. 7. 8. 100 3. /OO IO 6. IO 7. 100 1-5too 8. Write each of these as both a mixed number or whole number and as an improper fraction. 4.25 9._ 10. 5-8 10., 11. 16.14 11. 12. 4.3 12. 13. 218.1 13. 14. 6.0 14. 15. 15.1 15. 9. 415 Worksheet 2 Find each answer by d i v i d i n g . Show a l l work next to the question. Put the answer on the l i n e a t the r i g h t . 1. 4.9-7 1.. 2. .49 - 7 2 3. 3.6 r 6 4. 3.30-11 5. .25-^-25 ». 5.. 6. 3.00-^50 6 416 Worksheet 3 Express each f r a c t i o n below as the answer to a d i v i s i o n question. a l l of your work, and explain why your answer i s correct either by diagran—dng or renaming. 2 - 2. 3. IS - *. 5. 3t. 6. ffl 1. 9 l_5 = <V £ * IT 7. 4 8. 3 s Show 417 Worksheet 4 Convert each f r a c t i o n to i t s decimal equivalent. Show a l l of your work below the question and put the decimal answer on the l i n e a t the r i g h t . 1. ± IO 2. 4 2. 3 - IO 3.. 4. t 5 5. _k So 5 418 Worksheet 5 Convert each of these fractions t o a d i v i s i o n question and show why t h i s was 1. 1 9 2. 12. 5 3. h 4. correct. 419 Worksheet 1 Show a l l your work f o r each question i n the space below the question. For each, write a whole number, statement that you might be l e d to i n the comparison. Example: For comparing 6^3 x 3, then £./3. 3 Compare: 1. J? and 4. 4 2. 3. Q Q and 3. and 5- H 4. _ j f and 8. 5 -g- and 3t I would compare 6 and 3 x 3 , so since Worksheet 1 Use d i v i s i o n to f i n d the following square roots. the question. :. /Jiioo 3. /J2025 Show your work below Worksheet 2 Find the following square roots. Show a l l 422 Worksheet 3 Find the square roots of each by d i v i d i n g . 1. ^389 t. ^576 3. 4)1024 4. ^~96l = Do your work by the question.
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An investigation of algorithm justification in elementary school mathematics Weinstein, Marian S. 1973
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Title | An investigation of algorithm justification in elementary school mathematics |
Creator |
Weinstein, Marian S. |
Publisher | University of British Columbia |
Date Issued | 1973 |
Description | It was the purpose of this study to determine by experimental procedures whether there are any significant differences either in computational skill with an algorithm or in ability to extend that algorithm among elementary school pupils taught a mathematical algorithm by different methods of justification. The four types of justification methods were: pattern, algebraic, pattern followed by algebraic, and algebraic followed by pattern. A pattern justification is one based on an analog to two-dimensional phyiscal actions, whereas an algebraic justification is one based on the algebraic principles for rational numbers, as well as the rules of logic. Differences in performance among treatment groups were examined for four algorithms varying in both mathematical operation accomplished by the algorithm and in complexity of the algorithm. The latter is determined by the number of steps and processes required for its execution. The two simple algorithms were multiplication of a fraction and a mixed number and comparison of fractions using the cross-product rule. The two complex algorithms were conversion of a fraction to a decimal and calculation of the square root of a fraction. Three classes were given a strictly pattern justification, three a strictly algebraic justification, one a pattern followed by algebraic justification, and one an algebraic followed by pattern justification for one simple and one complex algorithm. The same assignment was made for the other simple and complex algorithm pair. In total, 16 grade five classes participated in the experiment. The results of the multiple analysis of covariance indicated no significant differences in the case of all four algorithms tested among the comparisons between students taught by a strictly pattern approach and students taught by a strictly algebraic approach. However, there is evidence to indicate that students taught by an algebraic approach, as a group, tend to do better on extension tests than their pattern taught counterparts and that students taught by a pattern method, as a group, tend to do better on simple algorithm computation tests than their algebraically taught counterparts. No trend is evident in terms of performance of groups on the complex algorithm computation tests. Furthermore, the existence of a significant between-groups-within-treatments effect indicates the strong possibility of a teacher by treatment interaction which might be further investigated. Although some significant differences were found among the algebraic followed by pattern and pattern followed by algebraic comparisons in favor of the algebraic followed by pattern groups, these results must be considered in light of the possibility that a group difference is what is being indicated confounded with a treatment difference. There did appear a trend, although nonsignificant, indicating that the algebraic followed by pattern taught students performed better, in general, on the extension tests. Finally, the data indicated the plausibility of a model for research into algorithm learning in elementary mathematics which incorporates two dimensions--type of justification provided for the algorithm and complexity of the algorithm-- as useful determinants of student performance on computation and extension tests based on that algorithm. |
Genre |
Thesis/Dissertation |
Type |
Text |
Language | eng |
Date Available | 2011-03-14 |
Provider | Vancouver : University of British Columbia Library |
Rights | For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use. |
DOI | 10.14288/1.0101171 |
URI | http://hdl.handle.net/2429/32408 |
Degree |
Doctor of Education - EdD |
Program |
Education |
Affiliation |
Education, Faculty of |
Degree Grantor | University of British Columbia |
Campus |
UBCV |
Scholarly Level | Graduate |
Aggregated Source Repository | DSpace |
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