Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)

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An Application Study of AI-Assisted Teaching Feedback in Enhancing Classroom Interaction Quality in Higher Education

Authors
Li Li1, *
1School of Business, Nanning University, Nanning, 530200, China
*Corresponding author. Email: lily@unn.edu.cn
Corresponding Author
Li Li
Available Online 31 May 2026.
DOI
10.2991/978-94-6239-691-3_22How to use a DOI?
Keywords
AI-assisted teaching feedback; classroom interaction; higher education; learning analytics; instructional innovation
Abstract

Classroom interaction plays a critical role in effective higher education teaching, yet traditional feedback practices are often delayed, selective, and insufficiently adaptive. This study examines the application of an AI-assisted teaching feedback mechanism aimed at enhancing classroom interaction quality. The proposed framework integrates real-time interaction data collection, AI-supported analysis, and targeted feedback generation to support student participation and instructional responsiveness. A quantitative pre–post evaluation was conducted in a blended undergraduate course using classroom interaction indicators and student perception surveys. Results show increased participation frequency, a higher proportion of active students, and improved perceived feedback timeliness following the implementation of AI-assisted feedback. The findings demonstrate that AI-assisted teaching feedback can effectively promote more inclusive and sustained classroom interaction in higher education.

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 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
31 May 2026
ISBN
978-94-6239-691-3
ISSN
2667-128X
DOI
10.2991/978-94-6239-691-3_22How 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  - Li Li
PY  - 2026
DA  - 2026/05/31
TI  - An Application Study of AI-Assisted Teaching Feedback in Enhancing Classroom Interaction Quality in Higher Education
BT  - Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)
PB  - Atlantis Press
SP  - 206
EP  - 217
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-691-3_22
DO  - 10.2991/978-94-6239-691-3_22
ID  - Li2026
ER  -