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Video-Based Consensus Annotations for Learning : A Feasibility Study Dodson, Samuel; Freund, Luanne; Yoon, Dongwook; Fong, Matthew; Kopak, Rick; Fels, Sidney

Abstract

Video-based learning is increasingly common in higher education; however, the video players available make limited use of logged interaction data to support and guide students’ viewing. In this work in progress, we explore the feasibility of aggregating students’ annotations of videos (e.g., highlights, notes, and tags) to identify “hot spots,” which can signal areas of interest to subsequent learners. We conducted a deployment study with 315 undergraduate students using ViDeX, a video player designed for active viewing. We logged students’ use of ViDeX for four months, and then aggregated and graphed their annotations across 13 instructional videos. Our results show that consensus annotations—the video content that has received attention from many students—may be a feasible, data-driven way to flag information for use by subsequent learners.

Item Metadata

Title
Video-Based Consensus Annotations for Learning : A Feasibility Study
Creator
Dodson, Samuel; Freund, Luanne; Yoon, Dongwook; Fong, Matthew; Kopak, Rick; Fels, Sidney
Date Issued
2018
Description
Video-based learning is increasingly common in higher education; however, the video players available make limited use of logged interaction data to support and guide students’ viewing. In this work in progress, we explore the feasibility of aggregating students’ annotations of videos (e.g., highlights, notes, and tags) to identify “hot spots,” which can signal areas of interest to subsequent learners. We conducted a deployment study with 315 undergraduate students using ViDeX, a video player designed for active viewing. We logged students’ use of ViDeX for four months, and then aggregated and graphed their annotations across 13 instructional videos. Our results show that consensus annotations—the video content that has received attention from many students—may be a feasible, data-driven way to flag information for use by subsequent learners.
Subject
Video-based learning; Annotation; Interaction data; User interface design; Information visualization
Genre
Article; Preprint
Type
Text
Language
eng
Date Available
2019-02-13
Provider
Vancouver : University of British Columbia Library
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
DOI
10.14288/1.0376434
URI
http://hdl.handle.net/2429/68352
Affiliation
Applied Science, Faculty of; Arts, Faculty of; Science, Faculty of; Computer Science, Department of; Electrical and Computer Engineering, Department of; iSchool (Library, Archival and Information Studies)
Citation
Dodson, S., Freund, L., Yoon, D., Fong, M., Kopak, R., & Fels, S. (2018). Video-based consensus annotations for learning: A feasibility study. In Proceedings of the 81st ASIS&T Annual Meeting (pp. 792–793). Silver Spring, MD: ASIS&T.
Publisher DOI
10.1002/pra2.2018.14505501119
Peer Review Status
Unreviewed
Scholarly Level
Faculty
Rights URI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository
DSpace

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Attribution-NonCommercial-NoDerivatives 4.0 International