AI赋能：电子信息专业研究生课程思政教学改革与探索——以《线性系统理论》课程为例

AI Empowerment: Teaching Reform and Exploration of Ideological and Political Education in Graduate Courses for Electronic Information Majors—Taking the “Linear System Theory” Course as an Example

摘要: 研究生课程思政不仅要引导学生树立正确的价值观以及培养他们在复杂科研环境中的道德判断能力和社会责任感，还应更注重在专业深度和广度上的拓展，通过多学科交叉融合，拓宽学生的学术视野和创新思维。文章针对电子信息专业研究生课程思政体系尚不完善、融合深度和协同效应不足、评价机制不健全等关键问题，通过深度探索AI赋能的有效路径，构建系统完整的课程思政设计理念与体系框架，为电子信息类研究生课程思政教学改革提供理论依据和实践参考。

Abstract: Graduate course ideological and political education should not only guide students to establish correct values and cultivate their moral judgment abilities and social responsibility in complex research environments, but also emphasize the expansion of professional depth and breadth. Through interdisciplinary integration, it broadens students’ academic perspectives and innovative thinking. This paper addresses key issues in the ideological and political education system for electronic information graduate students, such as its incompleteness, insufficient integration depth and synergistic effects, and inadequate evaluation mechanisms. By deeply exploring effective pathways for AI empowerment, it constructs a systematic and comprehensive conceptual design and framework for ideological and political education. This provides a theoretical foundation and practical reference for the reform of ideological and political education in electronic information graduate courses.