《信号与系统》课程教学改革中的人工智能赋能：创新、实践与展望

Artificial Intelligence Empowerment in the Teaching Reform of “Signals and Systems” Course: Innovation, Practice, and Prospects

摘要: 文章系统分析了传统《信号与系统》课程的教学痛点及存在的不足，阐述了AI技术与《信号与系统》教学核心知识体系之间的内在逻辑联系，并构建了一个涵盖课前预习、课堂互动教学、课后个性化辅导、智能实验训练和多元化教学评价的全过程AI赋能教学框架。结合教学实际案例，验证了AI赋能教学改革在提升学生对抽象理论的理解、增强工程实践能力以及优化教学效率方面的实际效果。本研究为推动《信号与系统》教学的智能化升级、实现新兴AI技术与基础工程课程教育的深度融合、培养适应智能时代的高素质跨学科工程人才提供了理论参考和可操作实践方案。

Abstract: This paper systematically analyzes the teaching pain points and deficiencies of the traditional “Signals and Systems” course, expounds on the inherent logical connection between AI technology and the core knowledge system of “Signals and Systems” teaching, and constructs a whole-process AI-empowered teaching framework encompassing pre-class preview, interactive classroom teaching, personalized post-class tutoring, intelligent experimental training, and diversified teaching evaluation. By combining practical teaching cases, the actual effects of AI-empowered teaching reform in enhancing students’ understanding of abstract theories, strengthening engineering practical abilities, and optimizing teaching efficiency are verified. This study provides theoretical references and actionable practical solutions for promoting the intelligent upgrade of “Signals and Systems” teaching, realizing the deep integration of emerging AI technology and basic engineering course education, and cultivating high-quality interdisciplinary engineering talents adaptable to the intelligent era.