Application Modes and Learning Effect Evaluation of Generative Artificial Intelligence in Online Courses of Colleges and Universities

DOI

10.2991/978-2-38476-601-7_4How to use a DOI?

Keywords

Higher Education; GenAI; ChatGPT; Online Learning

Abstract

The post-pandemic era has promoted the in-depth integration of “artificial intelligence + education”. As an emerging technology, generative artificial intelligence has injected new impetus into the intelligent development of online courses in colleges and universities. Through quantitative surveys, this study systematically analysed the behavioural patterns of college students using GenAI and its impact on learning outcomes. The results show that the overall usage frequency of students is relatively high, with more than half of the students being high-frequency users, and most of them show stable tool usage habits; however, gender, grade, and major have no significant impact on satisfaction. Regression analysis further indicates that the frequency of GenAI use and the richness of online learning resources are the key factors affecting learning satisfaction, while the frequency of tool replacement and school policy guidance have no significant impact. The study shows that to promote the effective application of GenAI in online courses, attention should be paid to the stability of students’ usage habits, and curriculum resource construction and policy support should be strengthened to improve the learning experience and outcomes.

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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TY  - CONF
AU  - Aixue Zhou
PY  - 2026
DA  - 2026/08/06
TI  - Application Modes and Learning Effect Evaluation of Generative Artificial Intelligence in Online Courses of Colleges and Universities
BT  - Proceedings of the 2026 2nd International Conference on Education Reform, Ideology and Politics (ERIP 2026)
PB  - Atlantis Press
SP  - 21
EP  - 30
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-601-7_4
DO  - 10.2991/978-2-38476-601-7_4
ID  - Zhou2026
ER  -