【摘要】 立足人工智能技术，西安交通大学大学物理教学团队联合超星公司在泛雅平台建设了“大学物理-量子物理学”和“大学物理-热学”两门智慧课程。课程包含了知识图谱为支撑、问题图谱为牵引、目标图谱为导向、思政图谱为内隐的智慧课程图谱体系；打造了虚拟学习环境和智能辅导与答疑系统；打造了智慧课程中智能评估与监测功能，以及智能教学助手。本文介绍了立足人工智能技术建设大学物理智慧课程的方法和主要举措，以及已经取得的初步成效。依托大学物理智慧课程建设，团队教师在教材建设、课程思政优秀案例建设、教改论文发表等多个方面取得了优异成绩。更多还原

【Abstract】 Combining artificial intelligence(AI) technology, the physics teaching team of Xi’an Jiaotong University and Chaoxing Company jointly built two smart courses, “University Physics Quantum Physics” and “University Physics Thermodynamics”, on the Fanya platform. The course features an intelligent curriculum-map system that is underpinned by a knowledge graph, driven by a problem graph, guided by an objective graph, and implicitly shaped by ideological and political education graph. It creates a virtual learning environment together with an intelligent tutoring and Q&A system, incorporates intelligent assessment and monitoring capabilities within the smart course, and provides an AI teaching assistant. This paper presents the AI-based methodology and principal measures adopted to build a smart university physics course, along with the initial outcomes already achieved. Leveraging this smart course initiative, the teaching team has attained outstanding results in textbook development, exemplary cases of ideological and political education, and the publication of pedagogical reform papers.更多还原