AI赋能高校实验教学方法探索——以集成电路专业为例

Methods Exploration of AI Empowering Experimental Teaching in Universities—Taking the Integrated Circuit Major as an Example

摘要: 本文主要以集成电路专业为例，探讨人工智能技术在高校实验教学中的应用与创新，阐述AI赋能高校实验教学的方法和理论基础，介绍了虚拟仿真实验、智能实验助手和实验数据智能分析、实验室管理优化升级等创新方法，与时俱进，助力集成电路专业人才培养。研究表明，AI技术能够显著提升实验教学效果，与理论教学相辅相成，培养学生的实践能力和创新思维，为实验教学改革提供了新的思路，指明了未来发展方向。

Abstract: This paper mainly takes the integrated circuit major as an example, discusses the application and innovation of artificial intelligence technology in experimental teaching in colleges and universities, expounds the method and theoretical basis of AI empowering experimental teaching in colleges and universities. The innovative methods are introduced, such as virtual simulation experiments, intelligent experimental assistants and intelligent analysis of experimental data, and laboratory management optimization and upgrading, so as to keep pace with the times and help the training of integrated circuit professionals. The research shows that AI technology can significantly improve the effect of experimental teaching, complement theoretical teaching, cultivate students’ practical ability and innovative thinking, provide new ideas for the reform of experimental teaching, and point out the future development direction.