Construction andpractice of artificial intelligence course of  university physics based on knowledge map

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  • 1. College of Physics, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210023, China; 2.College of 

    Educational Sciences and Techonolgy, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210023, China

Received date: 2024-08-31

  Revised date: 2024-10-24

  Online published: 2025-07-28

Abstract

Currently, artificial intelligence (AI) is profoundly changing education. The University Physics team of our university has innovatively launched a knowledge mapdriven AI course on the Wisdom Tree platform, and constructed a new teaching mode of ‘teacher/student/machine’ interaction. This paper outlines the design concept of the teachermachinestudent collaborative teaching system, the construction, implementation, effectiveness and reflection of the AI course. From the practical effect, the learner image based on knowledge graph and adaptive learning provide students with personalized learning can effectively improve independent learning and learning performance, which provides an experience reference for the construction of AI courses in basic science and engineering courses.

Cite this article

ZHANG Hongguang1, LI Yongtao1, YANG ZhiHong1, CHEN Wei1, BI Lan1, DONG Huiyuan1, WANG Yunhui1, SHAN Junhao2 . Construction andpractice of artificial intelligence course of  university physics based on knowledge map[J]. College Physics, 2025 , 44(5) : 41 . DOI: 10.16854/j.cnki.1000-0712.240396

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