Understanding the Effects of Structured Note-taking Systems for Video-based Learners in Individual and Social Learning Contexts-Reference-Cited by-同舟云学术

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

Published:2022-01-14 Issue:GROUP Volume:6 Page:1-21
ISSN:2573-0142
Container-title:Proceedings of the ACM on Human-Computer Interaction
language:en
Short-container-title:Proc. ACM Hum.-Comput. Interact.

Author:

Fang Jingchao¹,Wang Yanhao²,Yang Chi-Lan³,Liu Ching⁴,Wang Hao-Chuan¹

Affiliation:

1. University of California, Davis, Davis, CA, USA

2. Zhejiang University, Hangzhou, Zhejiang, China

3. University of Tokyo, Tokyo, Japan

4. National Tsing Hua University, Hsinchu, Taiwan Roc

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Link

https://dl.acm.org/doi/pdf/10.1145/3492840

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