AI时代下《智能控制理论基础》混合教学探索

Exploration of Blended Teaching for the Course “Fundamentals of Intelligent Control Theory” in the Era of Artificial Intelligence

摘要: 《智能控制理论基础》是自动化专业的重要选修课程。针对课程理论抽象、学生实践能力不足以及“以学生为中心”教学理念落实不充分等问题，结合人工智能技术发展趋势，提出线上线下混合式教学改革方案。面向新工科人才培养需求，重构教学内容，提出“线上学习基础、线下补充拓展”的“上看下补”教学方法，并构建“课前线上预习、课上人机协同、课后AI辅助练习、多维个性化评价”的“生问师答”固学机制。通过融入AI辅助教学手段，引导学生形成主动学习模式，提升自主学习能力与工程问题解决能力。教学实践表明，该教学改革能够有效提升课程教学效果，增强学生对自动化专业的学习兴趣与继续深造意愿，为智能控制类课程教学改革提供参考。

Abstract: “Fundamentals of Intelligent Control Theory” is an important elective course for Automation majors. In response to problems such as the abstract nature of course theories, insufficient practical abilities of students, and the inadequate implementation of the student-centered teaching philosophy, this paper proposes an online-offline blended teaching reform scheme in the context of the rapid development of Artificial Intelligence. To meet the requirements of emerging engineering education, the teaching content was reorganized, and a blended teaching method characterized by “online learning for foundational knowledge and offline supplementation for extension” was introduced. Meanwhile, a consolidated learning mechanism featuring online preview before class, human–AI collaborative learning during class, AI-assisted exercises after class, and multidimensional personalized evaluation was established. By integrating AI-assisted teaching approaches into the instructional process, students are guided to develop active learning habits, thereby improving their autonomous learning ability and engineering problem-solving capability. Teaching practice shows that the proposed reform effectively enhances teaching outcomes, stimulates students’ interest in the Automation discipline, and strengthens their willingness to pursue further studies, providing a reference for the teaching reform of intelligent control courses.