RESEARCH AND EXPLORATION ON AI EMPOWERMENT IN UNIVERSITY PHYSICS TEACHING

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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Publication Details

Journal
Wuli yu gongcheng.
Published
2025-12-01
DOI
https://doi.org/10.26599/phys.2025.9320618
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
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RESEARCH AND EXPLORATION ON AI EMPOWERMENT IN UNIVERSITY PHYSICS TEACHING

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Wuli yu gongcheng.
Intelligent Tutoring Systems and Adaptive Learning
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RESEARCH AND EXPLORATION ON AI EMPOWERMENT IN UNIVERSITY PHYSICS TEACHING

Jianwei Zhang, Shuangyuan Xie, Fei JIA, Zhihua Zhang, Yubo LIANG, Weijia FAN, Jingping XU
article en

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.

Wuli yu gongcheng.Vol. 35(6)
Tongji University (CN)
Quality Education
Openalex Percentile: Top 15%
Intelligent Tutoring Systems and Adaptive Learning
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