人工智能赋能《信号与系统》课程教学改革研究

Research on Artificial Intelligence Empowering the Teaching Reform of “Signals and Systems” Course

摘要: 本文以通信工程专业核心课程《信号与系统》为研究对象，针对传统教学中存在的理论抽象、实验脱离实际、评价方式单一等问题，提出基于生成式人工智能的智慧课堂教学改革方案。研究以OBE教育理念，深度融合DeepSeek、MATLAB等智能工具，构建了包含“智能教学资源开发–虚实结合实验体系–多元动态评价机制”三位一体的教学模式。实践表明，AI赋能的教学改革显著提升了学生对复杂数学概念的理解能力、系统建模能力及工程应用能力，为目标达成提供了有效支撑。

Abstract: This paper focuses on Signals and Systems, a core course in communication engineering, addressing issues in traditional teaching methods such as abstract theories, impractical experiments, and single evaluation approaches. We propose an intelligent classroom teaching reform based on generative artificial intelligence (AI), guided by the Outcome-Based Education (OBE) concept. By deeply integrating AI tools like DeepSeek and MATLAB, we establish a tripartite teaching model comprising “intelligent teaching resource development, virtual-physical integrated experiment systems, and a diversified dynamic evaluation mechanism.” Practical results demonstrate that AI-enhanced teaching significantly improves students’ comprehension of complex mathematical concepts, system modeling skills, and engineering application abilities, effectively supporting learning outcome attainment.