Name
Title | ||
|---|---|---|
Understanding the Effects of Structured Note-taking Systems for Video-based Learners in Individual and Social Learning Contexts |
Abstract | ||
|---|---|---|
AbstractVideo-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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1145/3492840 | Proceedings of the ACM on Human-Computer Interaction |
DocType | Volume | Issue |
Journal | 6 | GROUP |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingchao Fang | 1 | 0 | 0.34 |
| Yanhao Wang | 2 | 0 | 0.34 |
| Chi-Lan Yang | 3 | 0 | 0.34 |
| Ching Liu | 4 | 0 | 0.34 |
| Hao-Chuan Wang | 5 | 296 | 45.80 |