实验科学与技术2026，Vol.24Issue(1)：3-10,8.DOI:10.12179/1672-4550.20250566
AI驱动的电工电子实验教学改革与创新实践
AI-Driven Reform and Innovative Practice in Electrical and Electronic Experiment Teaching
摘要
Abstract
Electrical and Electronic Experimental Teaching serves as a core practical component in engineering education,functioning as a crucial vehicle for students to comprehend electrical principles,master engineering methodologies,and cultivate innovative thinking.With the rapid advancement of artificial intelligence(AI),big data,and educational informatization,the educational paradigm is undergoing a profound shift from"experience-driven"to"intelligence-driven"approaches.Breakthroughs in AI technologies,such as intelligent recognition,process analysis,and virtual simulation,have provided technical support and innovative opportunities for the reform of electrical and electronic experimental teaching.The National Experimental Teaching Demonstration Center for Electrical and Electronic Engineering(Harbin Institute of Technology),adhering to the educational philosophy of"student-centered,driven by student learning and developmental outcomes",has leveraged artificial intelligence as a driving force.Through the development of intelligent experimental resources,ubiquitous experimental platforms,comprehensive AI agents,and structured curriculum knowledge graphs,the center has established a new ecosystem for experimental teaching characterized by autonomy,personalization,and ubiquity.Practical results demonstrate that the reform effectively enhances students'learning interest,practical skills,sense of innovation,and digital literacy,offering a replicable pathway to the digital and intelligent transformation of engineering practical teaching.关键词
人工智能/电工电子/实验教学/教学改革/AI智能体Key words
artificial intelligence/electrical and electronic engineering/experimental teaching/teaching reform/AI agents分类
社会科学引用本文复制引用
李琰,崔振,王猛,刘伟..AI驱动的电工电子实验教学改革与创新实践[J].实验科学与技术,2026,24(1):3-10,8.基金项目
黑龙江省高等教育教学改革项目(SJGY20220033) （SJGY20220033）
黑龙江省实验教学和教学实验室建设研究项目(SJGZ20240003) （SJGZ20240003）
入选教育部首批"人工智能+高等教育"应用场景典型案例. （）
