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Publishing Language: Chinese

RESEARCH AND EXPLORATION ON AI EMPOWERMENT IN UNIVERSITY PHYSICS TEACHING

Jingping XU( ), Yubo LIANG, Shuangyuan XIE, Weijia FAN, Zhihua ZHANG, Fei JIA, Jianwei ZHANG
School of Physical Science and Engineering, Tongji University, Shanghai 200092
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Abstract

In the context of AI empowering education, the Physics Teaching and Research Office of Tongji University is also considering how to integrate AI into physics teaching. To this end, we conducted a school wide survey on the application of AI in students' physics learning in the first half of the year, and received a total of 2034 valid questionnaires. Based on the results of this survey, we have carried out targeted measures to integrate AI, such as establishing an AI Q&A intelligent agent, collaborating with the student union to strengthen the construction of Q&A video library on Bilibili, building a knowledge graph, digital lecture notes and question bank on a digital platform, and establishing a learning situation warning system based on Canvas system. Of course, the above measures are only using AI to optimize our teaching and evaluation methods, but we believe that it is more important to find physics knowledge points and application scenarios that can integrate AI. Therefore, we have given an example as inspiration.

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Physics and Engineering
Pages 109-112

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Cite this article:
XU J, LIANG Y, XIE S, et al. RESEARCH AND EXPLORATION ON AI EMPOWERMENT IN UNIVERSITY PHYSICS TEACHING. Physics and Engineering, 2025, 35(6): 109-112. https://doi.org/10.26599/PHYS.2025.9320618

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Received: 09 June 2025
Published: 06 February 2026
© 2025 Physics and Engineering.