生成式人工智能赋能高校思政课教学的动因、风险与应对

The Motivation, Risks, and Responses of Generative AI Empowering Ideological and Political Education in Universities

With the rapid development of generative artificial intelligence (AI) technology, intelligent technologies supported by big data are deeply integrating into ideological and political education (IPE) in universities, driving the transformation of IPE toward intelligence and precision. However, while generative AI empowers the high-quality development of university IPE, it also gives rise to a series of potential risks, such as ideological security hazards, weakened dominant position of teachers in moral education, insufficient emotional interaction between teachers and students, and leakage of relevant data and materials. This paper systematically analyzes the inherent educational logic of AI empowering university IPE, reveals its potential risks, and proposes response strategies from aspects of algorithmic regulation and governance, human-machine collaboration optimization, deepening teacher-student interaction, and improvement of institutional systems. It aims to provide theoretical support and practical paths for promoting the inheritance and innovation of university IPE and realizing the fundamental task of fostering virtue through education.

随着当前生成式人工智能技术的快速发展，以大数据为支撑的智能技术正深度融入高校思政课教学，推动思政课教学向智能化、精准化方向转型。然而，在生成式人工智能技术赋能高校思政课高质量发展的同时，也引发了意识形态安全风险、教师育人主体地位弱化、师生情感互动不够、相关数据资料泄露等一系列潜在隐患。本文系统分析人工智能赋能高校思政课教学的内在育人逻辑，揭示其潜在风险，并从算法规范治理、人机协同优化、师生互动深化、制度体系完善等方面提出应对策略，为助力高校思政课守正创新、实现立德树人根本任务提供理论支撑与实践路径。