生成式人工智能赋能高校思想政治教育的运行逻辑与实践路径
The Operation Logic and Practical Path of Ideological and Political Education in Universities Empowered by Generative Artificial Intelligence

生成式人工智能的兴起为高校思想政治教育带来了新的机遇与挑战。本文深入剖析生成式人工智能的基本特征，详细阐述其赋能高校思想政治教育的运行逻辑，包括知识拓展与深化、情感共鸣激发、思维引导与启迪等方面，并进一步探讨基于此的实践路径，涵盖优化课程教学资源配置、构建智能思政学习社区以及开展虚拟思政实践活动等内容，旨在为高校思想政治教育的创新发展提供理论支持与实践参考。
The rise of generative artificial intelligence has brought new opportunities and challenges to ideological and political education in universities. This paper makes an in-depth analysis of the basic characteristics of generative artificial intelligence, elaborates the operation logic of enabling ideological and political education in colleges and universities, including knowledge expansion and deepening, emotional resonance stimulation, thinking guidance and enlightenment, and further discusses the practical path based on this. It includes optimizing the allocation of course teaching resources, building intelligent ideological and political learning communities and carrying out virtual ideological and political practice activities, aiming at providing theoretical support and practical reference for the innovative development of ideological and political education in colleges and universities.