Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)

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Research on Students’ Addictive Online Behavior Based on the Fogg Behavior Model Analysis of Online Courses

Authors
Cheng Huang1, *
1Hainan Normal University, Haikou, 571158, China
*Corresponding author. Email: 414409864@qq.com
Corresponding Author
Cheng Huang
Available Online 23 April 2026.
DOI
10.2991/978-94-6239-630-2_56How to use a DOI?
Keywords
Fogg behavior model; online courses; addictive online behaviors; motivation
Abstract

With the widespread adoption of the internet in students ‘academic lives, while digital platforms have brought significant convenience, addictive online behaviors have caused various issues in learning and social relationships for some students. Currently, addictive online behaviors have become a focal point of domestic and international attention. The pervasive use of smartphones in students’ daily lives has created a certain degree of concealment for such behaviors. This study decomposes and extracts online learning behaviors during classroom teaching in online courses, identifying high-probability learning behaviors in online education. Through data collection and analysis on online course platforms, it screens out individual learners exhibiting abnormal online behaviors. Utilizing the monitoring functions of electronic classroom systems, the study collects behavioral data from these learners. Through data analysis and interviews, it preliminarily identifies students with addictive online behaviors, providing references for potential internet addiction detection and guidance in the future.

Copyright
© 2026 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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Volume Title
Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)
Series
Advances in Computer Science Research
Publication Date
23 April 2026
ISBN
978-94-6239-630-2
ISSN
2352-538X
DOI
10.2991/978-94-6239-630-2_56How to use a DOI?
Copyright
© 2026 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.

Cite this article

risenwbib
TY  - CONF
AU  - Cheng Huang
PY  - 2026
DA  - 2026/04/23
TI  - Research on Students’ Addictive Online Behavior Based on the Fogg Behavior Model Analysis of Online Courses
BT  - Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)
PB  - Atlantis Press
SP  - 594
EP  - 604
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-630-2_56
DO  - 10.2991/978-94-6239-630-2_56
ID  - Huang2026
ER  -