融合人工智能的电工电子技术课程教学改革探索

Exploration on the Teaching Reform of Electrical and Electronic Technology Course Integrating Artificial Intelligence

摘要: 在人工智能发展与新工科建设背景下，工科核心基础课电工电子技术面临教学与前沿脱节、课堂互动低效、内容难匹配就业需求的问题。文章提出三项改革：多学科融合，以该课程为基础融入数字信号处理、嵌入式系统知识，适配人工智能(AI)催生的新职业；AI融景教学，搭建AI辅助电路设计、智能虚拟实验室，升级教学资源与互动；用生成对抗网络(GAN)实施分层考核，生成个性化考题与模拟成绩。广西民族师范学院电子信息专业通过校企共建项目课，融合以上两技术开发智能设备，验证改革可行性，为课程改革提供了参考。

Abstract: Against the backdrop of artificial intelligence (AI) development and emerging engineering education initiatives, the core foundational engineering course of Electrical and Electronic Technology faces challenges, including disconnection between teaching content and cutting-edge advancements, inefficient classroom interaction, and misalignment between course content and employment demands. This paper proposes three reform measures: multidisciplinary integration, which integrates knowledge of digital signal processing and embedded systems based on this course to adapt to new occupations spawned by AI; AI-integrated scenario-based teaching, which constructs AI-assisted circuit design platforms and intelligent virtual laboratories to upgrade teaching resources and interaction modes; hierarchical assessment implemented via Generative Adversarial Networks (GANs), which generates personalized test questions and simulated scores. The Electronic Information major at Guangxi Minzu Normal University has verified the feasibility of these reforms through university-enterprise cooperative project-based courses, integrating the above two technologies to develop intelligent devices. This study provides a reference for the reform of similar courses.