AI时代教学改革与创新——以电动力学教学为例

Teaching Reform and Innovation in the AI Era—A Case Study of Electrodynamics Teaching

摘要: 人工智能技术的飞速发展与深度渗透，推动高等教育进入数字化、智能化转型的关键阶段，传统课堂教学模式面临着前所未有的挑战与革新机遇。电动力学作为物理学、电子信息、光电工程等专业的核心理论课程，具有数学抽象度高、物理概念晦涩、逻辑推导复杂的特点，长期存在“教师难教、学生难学”的教学困境。本文立足AI时代教育数字化发展要求，剖析电动力学传统教学的现存短板，探索AI技术与电动力学教学深度融合的改革路径，构建“知识可视化、学习个性化、互动多元化、评价精准化”的创新教学模式，并结合教学实践阐述落地举措与实施效果，旨在为理工科理论课程的智能化教学改革提供参考范例。

Abstract: The rapid development and in-depth penetration of artificial intelligence technology have propelled higher education into a critical stage of digital and intelligent transformation, confronting the traditional classroom teaching model with unprecedented challenges and innovative opportunities. As a core theoretical course for majors such as physics, electronic information, and optoelectronic engineering, electrodynamics is characterized by high mathematical abstraction, obscure physical concepts, and complex logical derivations, which has long resulted in the teaching dilemma of “difficult for teachers to teach and hard for students to learn”. Based on the requirements of educational digitalization in the AI era, this paper analyzes the existing shortcomings of traditional electrodynamics teaching, explores the reform paths for the deep integration of AI technology with electrodynamics instruction, and constructs an innovative teaching model featuring “knowledge visualization, personalized learning, diversified interaction, and precise evaluation”. Combined with teaching practice, it elaborates on implementation measures and practical effects, aiming to provide a reference example for the intelligent teaching reform of theoretical courses in science and engineering disciplines.