The Effect of Visual Cues on Cognitive Load Depending on Self-Regulation in Video-Based Learning

Kakyeong Kim, Il Hyun Jo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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 languageEnglish
Title of host publicationProceedings of the 13th International Conference on Educational Data Mining, EDM 2020
EditorsAnna N. Rafferty, Jacob Whitehill, Cristobal Romero, Violetta Cavalli-Sforza
PublisherInternational Educational Data Mining Society
Pages776-780
Number of pages5
ISBN (Electronic)9781733673617
StatePublished - 2020
Event13th International Conference on Educational Data Mining, EDM 2020 - Virtual, Online
Duration: 10 Jul 202013 Jul 2020

Publication series

NameProceedings of the 13th International Conference on Educational Data Mining, EDM 2020

Conference

Conference13th International Conference on Educational Data Mining, EDM 2020
CityVirtual, Online
Period10/07/2013/07/20

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

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