Proceedings of the 3rd International Conference on Educational Development and Social Sciences (EDSS 2026)

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Generative AI-Supported Classroom Interaction and Student Learning Experience: An Empirical Study

Authors
Xun Gao1, *, Wenjuan Wang2
1Wuxi Vocational Institute of Commerce, Wuxi, China
2Xindao Technology Co., Ltd., Jiangsu Branch, No. 201 Yanjiang Road, Nanjing, China
*Corresponding author. Email: gaoxun@wxic.edu.cn
Corresponding Author
Xun Gao
Available Online 1 May 2026.
DOI
10.2991/978-2-38476-569-0_31How to use a DOI?
Keywords
generative AI; classroom interaction; student engagement
Abstract

Generative artificial intelligence (AI) is increasingly being integrated into classroom teaching. This study examines the relationship between generative AI-supported classroom interaction, student engagement, and learning perception in a teaching context where AI is incorporated into regular classroom activities. Survey data were collected from 86 students and analyzed using descriptive statistics and correlational methods. The results indicate that students generally hold positive attitudes towards AI-supported classroom interaction and report overall satisfaction with their learning experience. Students particularly recognise the value of generative AI in providing timely guidance and feedback during classroom activities. Further analysis suggests that generative AI contributes to learning experience in two ways: directly, by enhancing the quality of classroom interaction, and indirectly, by promoting higher levels of student engagement. These findings provide empirical evidence that generative AI can support positive learning experiences through strengthened interaction and engagement when integrated into classroom teaching.

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 3rd International Conference on Educational Development and Social Sciences (EDSS 2026)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
1 May 2026
ISBN
978-2-38476-569-0
ISSN
2352-5398
DOI
10.2991/978-2-38476-569-0_31How 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  - Xun Gao
AU  - Wenjuan Wang
PY  - 2026
DA  - 2026/05/01
TI  - Generative AI-Supported Classroom Interaction and Student Learning Experience: An Empirical Study
BT  - Proceedings of the 3rd International Conference on Educational Development and Social Sciences (EDSS 2026)
PB  - Atlantis Press
SP  - 255
EP  - 261
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-569-0_31
DO  - 10.2991/978-2-38476-569-0_31
ID  - Gao2026
ER  -