ARTICLE
Volume 8,Issue 7
2 April 2025
A Thematic Analysis of Current Research on AI-Empowered Mathematics Teaching in Chinese Universities from the TPACK-Theoretical Perspective
Luchao Zhang ,
Fen Wei ,
Lianxin Wei ,
Xiang Li
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1
University of Shanghai for Science and Technology,
erd 2025 , 7(3), 132–141;
https://doi.org/10.26689/erd.v7i3.9676
© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract
This paper delves into the current state of the application of artificial intelligence (AI) in the teaching of mathematics courses at Chinese universities from the TPACK perspective. It elaborates on the research advancements in the theoretical exploration of AI-empowered teaching by teachers, grounded in the TPACK theory. The paper also elucidates the impacts of AI on mathematics courses, covering aspects such as teaching models, teaching evaluations, and teaching content. Analyses are respectively carried out at the theoretical, practical, and teacher development levels. Ultimately, four sets of suggestions are proposed to promote the high-quality development of mathematics teaching in universities.
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