大学物理 ›› 2026, Vol. 45 ›› Issue (6): 84-.doi: 10.16854/j.cnki.1000-0712.250407

• AI赋能 智教新探 • 上一篇    下一篇

基于知识图谱的大学物理AI+课程个性化教学实践

黄厚伟,邱晓燕   

  1. 1. 西南大学 物理科学与技术学院,重庆400715;2. 重庆市 长寿中学校,重庆401220
  • 收稿日期:2025-08-06 接受日期:2025-09-25 出版日期:2026-08-01 发布日期:2026-08-28
  • 作者简介:黄厚伟(2003—),男,重庆垫江人,重庆市长寿中学校,教师,主要从事物理教学和研究.
  • 基金资助:
    西南大学教育教学改革研究重点项目—人工智能辅助跨学科混合式力学课程设计与教学资源开发(2025JY010)资助

AIenhanced curriculum knowledge graph for personalized blended teaching

HUANG Houwei1, 2, QIU Xiaoyan1   

  1. 1. School of Physical Science and Technology, Southwest University, Chongqing 400715, China;
    2. Chongqing Changshou Middle School, Chongqing 401220, China
  • Received:2025-08-06 Accepted:2025-09-25 Online:2026-08-01 Published:2026-08-28

摘要: 本文利用《普通物理学教程 力学》课程知识图谱和人工智能(AI)工作台开展个性化线上线下混合式教学.笔者系统梳理课程知识点层级关系后,利用图形工具生成可视化课程知识图谱并关联整合相关课程教学资源.以课程知识点为切入点开展线上线下混合式教学,利用AI生成课前预习检测题和课堂实时检测卷实时掌握班级学情;系统分析学生线上学习记录并AI生成学生个人学习报告.针对不同层次学生设置个性化课后学习方案:为学有余力的学生开设拓展练习;为学习达成度不高的学生定制个性化作业,强化薄弱知识点学习.教学实践证明“AI+课程知识图谱”教学模式是可复制的高校个性化混合式教学参考案例.


关键词: 课程知识图谱, AI, 混合式教学, 力学

Abstract: This paper exhibits personalized blended teaching on General Physics: Mechanics through curriculum knowledge graphs and artificial intelligence (AI) workbenches. Author systematically organize hierarchical relationships of knowledge points, then use visualization tools to generate curriculum knowledge graphs integrated with pedagogical resources. According to AIgenerated preclass and inclass quizzes for key knowledge points, the teacher can monitor student learning progress in realtime. After tracking and analyzing students online learning data, the workbench generates personalized study reports using AI. Based on students' individual proficiency levels, personalized afterschool learning plans are developed. Highachieving students are offered enrichment programs, while those with lower learning attainment receive customized exercises to strengthen their understanding of weak knowledge areas. The “AIenhanced curriculum knowledge graph” onlineoffline blended teaching model provides a replicable reference case for personalized blended teaching in higher education. 


Key words:  , curriculum knowledge graph, artificial intelligence, blended teaching, mechanics