ARTICLE
Volume 8,Issue 7
20 July 2026
Exploration of Effective Strategies for Empowering University Physics Teaching with Artificial Intelligence
Wenting Lu
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1
Department of Physics, Taiyuan Normal University, Jinzhong 030619, Shanxi, China,
erd 2026 , 8(6), 1–6;
https://doi.org/10.26689/erd.v8i6.15579
© 2026 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
Against the background of educational digital transformation, artificial intelligence technology has been extensively integrated into university physics teaching, reshaping its models and concepts and injecting new vitality into its reform. Nevertheless, relevant teaching and research work are still in the initial stage. In practical operation, there exist problems such as perfunctory AI empowerment, superficial technology application, insufficient prominence of students’ subjective status, and weaknesses in experimental teaching, which require more useful attempts by frontline teachers. Based on the core values and practical dilemmas of AI-enabled university physics teaching, this paper puts forward effective strategies to promote the reform of university physics teaching for reference.
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