AI驱动的《自动控制原理》课程教学改革研究

AI-Driven Teaching Reform on the Course “Principles of Automatic Control”

摘要: 在《自动控制原理》课程学时缩减的背景下，该课程因数学基础要求高、内容抽象，难以开展个性化教学，学生学习成效受限。为提升教学效率，本文探索将人工智能技术融入课程教学，通过构建课程知识图谱，梳理知识点间的逻辑关联，结合智能评估系统，动态监测学习进展，精准反馈薄弱环节。AI驱动的互动教学模式可提升学生的知识掌握度与综合应用能力，为工科课程教学改革提供了可推广的智能化路径。

Abstract: Under the context of reduced class-hours in the course “Principles of Automatic Control”, personalized instruction faces challenges due to its high mathematical requirements and abstract content. To enhance learning efficiency, this paper explores the integration of artificial intelligence (AI) into instruction. By constructing a course knowledge graph, the logical relationships among concepts are clarified. Combined with an intelligent assessment system, student progress is monitored dynamically, and weak areas are precisely identified and fed back. This AI-driven teaching model significantly can improve students’ mastery of knowledge and their ability of application. It also provides a scalable, intelligent pathway for reforming engineering education.