Harnessing Emotions for Effective Online Learning: A Systematic Review of Emotion Recognition Techniques

DOI

10.2991/978-94-6463-366-5_8How to use a DOI?

Keywords

Online Learning; Affective-Adaptive-Intelligent Tutoring System; Emotion Recognition

Abstract

The growing utilization of computer vision technology to enhance learning settings has captivated contemporary literature in the field of educational research. The integration of affective tutoring systems (ATS), student emotion recognition systems (SERS), sentiment analysis, and multi-agent systems (MAS) has dramatically improved the online learning environment. The absence of prior technologies hindered the progress of online learning environments since there was a deficiency in a corrective mechanism to address the disadvantaged perspectives of tutors in accurately documenting facts inside their instructional settings. Consequently, the integration of computer vision technology has been seen to augment the online learning milieu by equipping instructors with improved monitoring capabilities and supportive interventions. The present study employed a systematic review methodology, including a total of 33 scholarly works, to comprehensively examine the utilization of technology in educational settings. The study investigated several approaches for obtaining and interpreting emotional data, machine learning algorithms, adaptability to individual learners, camera resolution, and ethical considerations. This study aimed to elucidate the advantages and disadvantages of these systems. This study demonstrates that the implementation of emotion detection systems has the potential to enhance the effectiveness of online learning. These technologies enable the quantification and analysis of students’ emotional responses, therefore facilitating instructors in improving their teaching strategies and instructional materials. By utilizing real-time feedback on students’ emotions, educators have the ability to adapt their instructional strategies in order to enhance student engagement and improve academic achievement.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mangaras Yanu Florestiyanto
AU  - Herman Dwi Surjono
AU  - Handaru Jati
PY  - 2024
DA  - 2024/02/02
TI  - Harnessing Emotions for Effective Online Learning: A Systematic Review of Emotion Recognition Techniques
BT  - Proceedings of the 2023 1st International Conference on Advanced Informatics and Intelligent Information Systems (ICAI3S 2023)
PB  - Atlantis Press
SP  - 71
EP  - 89
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-366-5_8
DO  - 10.2991/978-94-6463-366-5_8
ID  - Florestiyanto2024
ER  -