PREVENTION OF AMBIGUOUS SITUATIONS WHEN IDENTIFYING THE LEVEL OF STUDENT ENGAGEMENT
Abstract
The article describes the importance of correctly identifying the level of student engagement and highlights the problem in its identification. The article also proposes a solution to this problem in the form of a two-factor algorithm that is being developed. Further the article describes the sets of attributes necessary for the use of the proposed algorithm.
References
Список литературы / References
Dewan M., Murshed M., Lin F. Engagement detection in online learning: a review // Smart Learning Environments. 2019. Vol. 6. №. 1. P. 1-20.
S. Koyama. Estimation of Students’ Level of Engagement from Facial Landmarks // Special Research Report. Department of Information Systems Engineering, Okayama University. Department of Information Technology (Okayama, February 8, 2019.). P. 6-12.
Copyright (c) 2024 S. I. Timakov, N. V. Neelova
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