AI时代大学物理课程的教学范式探讨

Discussion on the Teaching Paradigm of University Physics Courses in the AI Era

摘要: 面对智能时代对基础课程的冲击，教育工作者需重新审视教学目标与方法以应对社会变革挑战。本文从AI教学应用现状切入，分析其对传统范式的机遇与变革，探讨内外驱力对基础教育的影响，提出“人机结合困境即教育进化催化剂”的核心观点。基于此，指出大学物理教育需底层变革，并构建智能化教学范式重构策略：通过个性化学习路径规划、教学底层设计优化及教师角色转型，推动协同智能的基础课程发展，实现技术与教育的深度融合，为未来人才培养提供适配性支撑。

Abstract: Facing the impact of the intelligent era on basic courses, educators need to re-examine teaching goals and methods to cope with the challenges of social change. From the current status of AI teaching applications, this paper analyzes the opportunities and transformations it brings to traditional paradigms, explores the impact of internal and external drivers on basic education, and proposes the core viewpoint that “the dilemma of human-machine combination is the catalyst for educational evolution”. Based on this, it points out that university basic education requires fundamental transformation, and constructs reconstruction strategy for the intelligent teaching paradigm: by optimizing personalized learning path planning, underlying teaching design, and teacher role transformation, it promotes the development of basic courses based on collaborative intelligence, achieves the deep integration of technology and education, and provides adaptive support for future talent cultivation.