仿真与人工智能技术赋能模电实验教学改革初探

The Preliminary Exploration of Simulating and AI Technologies in Empowering the Reform of Analog Electronics Experiments

摘要: 模电实验是电子信息专业培养学生实际动手和工程实践能力的核心基础实验课程。针对传统模电实验教学中存在的突出问题，本文探索将仿真技术与人工智能(AI)技术有效融入模电实验教学全过程的改革与实施路径。构建“仿真 + AI”协同赋能教学模式，覆盖模电实验课前、课中、课后三个环节，形成可持续改进的完整教学闭环。教学实践证明，改革有效提升了学生的自主学习兴趣、实验操作能力和工程创新思维，为电类基础实验教学的数智化转型提供了可推广的实践方案。

Abstract: Analog electronics experiment courses are core foundational courses in electronics and information technology programs designed to cultivate students’ hands-on and engineering practical skills. Addressing the prominent issues in traditional analog electronics experiment teaching, this paper explores strategies and implementation pathways for effectively integrating simulation technology and artificial intelligence (AI) technology throughout the entire teaching process. A “simulation + AI” collaborative teaching model was developed, covering the pre-class, in-class, and post-class phases of analog electronics experiment courses, thereby forming a complete, sustainable teaching loop. Teaching practice has demonstrated that this reform has effectively enhanced students’ interest in independent learning, their experimental skills, and their engineering innovation thinking, providing a replicable practical solution for the digital and intelligent transformation of electronics foundational experiment courses.