AI时代电子基础实验故障智能诊断与个性化指导研究

Research on the Improvement of Convenient Interaction and Expansion of Student Skills in Electronic Basic Experiments in the AI Era

摘要: 在人工智能普及与跨专业人才培养需求日益迫切的背景下，非电子专业电子基础实验存在交互不便、操作门槛高、故障排查难、指导不及时等问题，难以满足跨专业学生学习与技能提升需要。本文以文献梳理与师生访谈为基础，围绕AI驱动的实验故障智能诊断与个性化指导展开研究，优化电子基础实验交互流程，完善实践教学体系，提升学生问题解决能力与工程素养，为同类课程智能化改革提供参考。

Abstract: Against the backdrop of the increasingly urgent demand for the popularization of artificial intelligence and the cultivation of cross disciplinary talents, non electronic major electronic basic experiments face problems such as inconvenient interaction, high operational barriers, difficult troubleshooting, and untimely guidance, which make it difficult to meet the learning and skill improvement needs of cross disciplinary students. Based on literature review and interviews with teachers and students, this article conducts research on AI driven intelligent diagnosis and personalized guidance of experimental faults, optimizes the interactive process of electronic basic experiments, improves the practical teaching system, enhances students’ problem-solving ability and engineering literacy, and provides reference for the intelligent reform of similar courses.