AI赋能《信号与系统》课程教学探索

Exploration of AI-Assisted Teaching in “Signals and Systems” Course

摘要: 本文分析了《信号与系统》课程面临的挑战，探讨了AI赋能教学的目标及其对教师和学生角色的影响，提出人工智能赋能教学的探索，从教学方式、教学内容和考核方式三个方面进行了创新改革。在教学方式改革方面，利用AI教学平台丰富了课前预习、课堂教学和课后复习环节，并引入学习小组合作学习。在教学内容改革方面，利用AI教学平台，拓宽了学科内容，关注技术发展前沿知识，重视实际应用。在考核方式改革方面，采用了多元化的考核方式，包括AI学习平台对学生平时学习情况的评估、团队实验成绩和期末考试成绩。最后，本文以“信号与系统绪论”和“傅里叶变换”两个章节的教学设计和实践应用为例，展示了AI赋能下课程教学的具体实施方案，为其他课程的教学改革提供了借鉴和参考。

Abstract: This paper delves into the challenges faced by the “Signals and Systems” course, explores the goals of artificial intelligence (AI)-assisted teaching and its impact on the roles of both teachers and students, and proposes an innovative exploration of AI-assisted pedagogy. Leveraging AI to assist teaching, innovative reforms are undertaken in teaching methods, teaching content, and assessment methods. In terms of teaching methods, the AI learning platform has enriched pre-class preview, in-class teaching and after-class review, and introduced cooperative learning in groups. In terms of teaching content reform, the use of AI teaching platform has broadened the subject content, paid attention to the cutting-edge knowledge of technological development, and emphasized the practical applications. Regarding assessment methods, diversified assessment approaches are adopted, including the evaluation of students’ usual learning situation by AI learning platform, team experimental results, and final exam scores. Finally, the paper showcases specific implementation plans of AI-assisted teaching through two exemplary case studies: the instructional design and practical application of chapters such as “Introduction to Signals and Systems” and “Fourier Transform.” These case studies serve as valuable references for the reform of teaching practices in other courses.