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Understanding the Effects of Structured Note-taking Systems for Video-based Learners in Individual and Social Learning Contexts

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Hao-Chuan WangAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue GROUP

Article No.: 21, Pages 1 - 21

https://doi.org/10.1145/3492840

Published: 14 January 2022 Publication History

Abstract

Video-based learning is widely adopted by online learners, yet, learning experience and quality may be negatively affected by asynchronous and remote natures of video-based learning. As note-taking is a common practice employed by video-based learners and is known to be an effective way to trigger active construction and processing of knowledge, yet as a meta-skill, it is challenging to most learners. In this study, we aim to approach the goal of providing cognitive and social scaffolds to video-based learners by structuring their note-taking process. We presented and evaluated structured note-taking systems designed for learners in two contexts, namely, individual learning context and social learning context. With an online controlled study involving 43 participants, we compared the structured note-taking systems with two baseline systems (for individual learning and social learning contexts respectively) and found that structured note-taking significantly improved certain aspects of video-based learning such as and higher cognitive engagement and lower distraction. We discussed our results to inform the design, iteration, and adoption of note-taking tools in video-based learning.

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Cited By

Yu FZhang PDing XLu TGu N(2024)BNoteHelper: A Note-based Outline Generation Tool for Structured Learning on Video-sharing PlatformsACM Transactions on the Web10.1145/363877518:2(1-30)Online publication date: 12-Mar-2024
https://dl.acm.org/doi/10.1145/3638775
Spitzer PKühl NHeinz DSatzger G(2023)ML-Based Teaching Systems: A Conceptual FrameworkProceedings of the ACM on Human-Computer Interaction10.1145/36101977:CSCW2(1-25)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610197
Chen XLi SLiu SFowler RWang X(2023)MeetScript: Designing Transcript-based Interactions to Support Active Participation in Group Video MeetingsProceedings of the ACM on Human-Computer Interaction10.1145/36101967:CSCW2(1-32)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610196

Index Terms

Understanding the Effects of Structured Note-taking Systems for Video-based Learners in Individual and Social Learning Contexts
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 6, Issue GROUP

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January 2022

992 pages

EISSN:2573-0142

DOI:10.1145/3511803

Editor:
Jeff Nichols
Apple Inc., United States

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Published: 14 January 2022

Published in PACMHCI Volume 6, Issue GROUP

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Cited By

Yu FZhang PDing XLu TGu N(2024)BNoteHelper: A Note-based Outline Generation Tool for Structured Learning on Video-sharing PlatformsACM Transactions on the Web10.1145/363877518:2(1-30)Online publication date: 12-Mar-2024
https://dl.acm.org/doi/10.1145/3638775
Spitzer PKühl NHeinz DSatzger G(2023)ML-Based Teaching Systems: A Conceptual FrameworkProceedings of the ACM on Human-Computer Interaction10.1145/36101977:CSCW2(1-25)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610197
Chen XLi SLiu SFowler RWang X(2023)MeetScript: Designing Transcript-based Interactions to Support Active Participation in Group Video MeetingsProceedings of the ACM on Human-Computer Interaction10.1145/36101967:CSCW2(1-32)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610196

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