AI赋能电动力学课程精准化教学应用探索

Exploration on AI-Enabled Precision Teaching in Electrodynamics

摘要: 电动力学是为物理及相关专业开设的一门核心专业课，以电磁场理论和狭义相对论为核心，因涉及大量矢量运算和抽象物理概念，是一门公认的“教师难教、学生难学”的课程。文章以电动力学为例，探索人工智能(AI)赋能课程的建设路径与实施方案：通过AI技术构建课程知识图谱与资源库、引入AI助教辅助教学、进行课程思政融合设计与评价体系建设，针对性解决课程教学难度大、形式单一、资源适配性不足及思政建设不完善等问题，为实现专业课程精准化、个性化教学提供参考。

Abstract: Electrodynamics is a core course offered for physics and related majors, which mainly introduces the basic theories of electromagnetic fields and special relativity. Owing to the involvement of a large number of vector operations and abstract physical concepts, it is widely recognized as a course that is “difficult for teachers to teach and for students to learn”. In this paper, the construction path and implementation plan of artificial intelligence (AI)-enabled electrodynamics courses are proposed. By using AI technology to construct course knowledge graphs and resource libraries, introducing AI teaching assistants to assist teaching, and conducting integrated design and evaluation system construction of ideological and political education in courses, the problems of high teaching difficulty, single form, insufficient resource adaptability and incomplete ideological and political construction in courses are specifically addressed, providing references for achieving precise and personalized teaching of professional courses.