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Explorations of programming learning behaviour of novices through computer-aided learning

University of British Columbia

The goal of Computer-Aided Instruction (CAI) research is to build instructional programs that incorporate well-prepared course material in lessons that attempt to individualize learning. The role of Artificial Intelligence (Al) is to facilitate a new kind of learning environment that stresses a learner-based paradigm instead of the teacher-based paradigm of traditional CAI. Research in Intelligent Computer-Aided Learning (ICAL) is focused on providing instruction that is sensitive to the student's strengths, weaknesses, and preferred style of learning. In this thesis, research milestones in ICAL are discussed. An Interactive Computer-aided Testing program that seeks to diagnose novices' misconceptions of the assignment statement in Pascal is described. This program was also used to explore the utility of providing explicit models as an aid to learning programming.

Text

2010-05-15

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http://hdl.handle.net/2429/24722

Computer Science

University of British Columbia

Graduate