A Study of Learning Engagement and Its Influencing Factors Under E-Learning Platform: Based on Behavioral Event Analysis Model

DOI

10.2991/978-94-6463-040-4_65How to use a DOI?

Keywords

online learning; learning engagement; behavioral event analysis model; data analysis; COVID-19

Abstract

During the COVID-19, the analysis of data on the use of e-learning platforms revealed that e-learning gradually became the main learning method for students. On the one hand, e-learning can solve the crisis of students’ suspension from classes and schools. But on the other hand, the phenomenon of decreasing students’ learning engagement level can occur in the process of e-learning, which is detrimental to students’ learning development. Therefore, based on the behavioral event analysis model in big data analysis, this paper analyzes the usage data of e-learning platforms and collates and summarizes the existing literature studies, thus summarizing the main influencing factors of students’ learning engagement and finally proposing corresponding countermeasures to improve the level of students’ learning engagement during the COVID-19 and promote the sustainable development of the e-learning model.

Copyright

© 2023 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  - Xiaowen Chen
AU  - Ting Wang
PY  - 2022
DA  - 2022/12/27
TI  - A Study of Learning Engagement and Its Influencing Factors Under E-Learning Platform: Based on Behavioral Event Analysis Model
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 428
EP  - 433
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_65
DO  - 10.2991/978-94-6463-040-4_65
ID  - Chen2022
ER  -