Abstract
Recently, online learning has been increasingly used due to its advantages that allow people to study anytime and anywhere. Learners, on the other hand, are separated from the instructor in video-based learning, which makes learners difficult to maintain their motivation until the end of the activity. Therefore, it is required to provide instructional treatment so that learners keep their motivation and be immersed in learning. Visual cues, lowering cognitive load, are known a putative way in which learners can distinguish essential information from irrelevant one. The aim of this study is to explore the effect of visual cues on cognitive load depending on the level of self-regulation. The result shows that self-regulation lower cognitive load in the non-visual-cue group as time series, but self-regulation doesn’t have an effect on cognitive load in the visual-cue group. This indicates learners in the non-visual-cue group experience difficulty to keep their motivation so that they are hard to put mental effort into the learning. This study suggests that the pupil dilation which reflects cognitive load can be predicted by behavior log which indicates self-regulation. Therefore, it is necessary to enhance learners’ cognitive strategies, as well as the reduction of the factors causing unnecessary cognitive load.
Original language | English |
---|---|
Title of host publication | Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020 |
Editors | Anna N. Rafferty, Jacob Whitehill, Cristobal Romero, Violetta Cavalli-Sforza |
Publisher | International Educational Data Mining Society |
Pages | 776-780 |
Number of pages | 5 |
ISBN (Electronic) | 9781733673617 |
State | Published - 2020 |
Event | 13th International Conference on Educational Data Mining, EDM 2020 - Virtual, Online Duration: 10 Jul 2020 → 13 Jul 2020 |
Publication series
Name | Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020 |
---|
Conference
Conference | 13th International Conference on Educational Data Mining, EDM 2020 |
---|---|
City | Virtual, Online |
Period | 10/07/20 → 13/07/20 |
Bibliographical note
Publisher Copyright:© 2020 Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020. All rights reserved.
Keywords
- Cognitive Load
- Learning Analytics
- Self-Regulation
- Video-Based Learning
- Visual Cues