XU Jingping;LIANG Yubo;FAN Weijia;ZHANG Zhihua;JIA Fei;ZHANG Jianwei;

• 1:School of Physical Science and Engineering
• 2: Tongji University

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.

Key Words： AI empowers education;physics teaching

Abstract:

Keywords:

Foundation: 2025年同济大学精品公共基础课程建设项目

Authors: XU Jingping;LIANG Yubo;FAN Weijia;ZHANG Zhihua;JIA Fei;ZHANG Jianwei;

References：

• [1]YOU B W, ZHANG S, YANG Y P. Omnidirectional linearattention module for penalty shootout video understanding.Neural Information Processing, 2025:46-62.