生成式人工智能驱动下的《信号与系统》教学改革研究
Research on the Teaching Reform of Signals and Systems Driven by Generative Artificial Intelligence

本文以《信号与系统》课程为例，探讨基于生成式人工智能(Generative AI)的课程教学改革。通过分析课程传统教学模式的局限性(单向灌输、信息展示劣势、教学资源有限)，本文提出了利用生成式AI技术(豆包、剪映、gamma软件)增强教学内容的丰富性、提高教学效率与效果的教学改革方案。通过具体实践案例，验证了该方案在提升学生学习兴趣、增强实践能力及促进个性化学习方面的有效性。
Taking the course “Signals and Systems” as an example, this paper discusses the course teaching reform based on Generative AI. By analyzing the limitations of the traditional teaching mode (one-way indoctrination, inferior information display, limited teaching resources), this paper proposes a teaching reform plan that uses generative AI technology (Doubao, CapCut, gamma software) to enhance the richness of teaching content and improve teaching efficiency and effect. Through practical cases, the effectiveness of the scheme in enhancing students’ learning interest, enhancing practical ability and promoting personalized learning is verified.