人工智能赋能高校思想政治教育的现实困境与实践路径研究

A Study on the Realistic Dilemmas and Practical Paths of Artificial Intelligence-Empowered Ideological and Political Education in Higher Education

摘要: 当前，人工智能已经广泛应用于高校教育教学和学校治理之中，并逐渐展现出其对高校思想政治教育工作的赋能作用。人工智能基于数据分析和技术辅助提升着高校思政教育工作运转效率和管理效能，但也带来了对思政教育价值属性和育人逻辑的新考验。本研究立足于思想政治教育价值引领本质要求，在技术理性与价值理性的关系视角下审视人工智能赋能高校思想政治教育所面临的现实困境，认为存在着技术理性扩张、教师主体性弱化及数据治理与伦理风险等问题；进而提出了坚持价值主导原则、强化思政教师主导地位和健全数据治理与伦理规范等实践路径，旨在为人工智能合理应用于高校思政教育工作提供借鉴。

Abstract: With the rapid advancement of artificial intelligence (AI), it has been widely applied in university education and governance, gradually demonstrating its potential in empowering ideological and political education (IPE) in higher education. While AI improves the efficiency and precision of IPE through data analysis and technical support, it also poses challenges to its value orientation and educational logic. This paper examines the practical dilemmas of AI-empowered IPE from the perspective of the tension between value rationality and technical rationality. It identifies major issues including the expansion of technical rationality, the weakening of teachers’ subjectivity, and ethical risks in data governance. Accordingly, it proposes practical strategies such as adhering to value leadership, enhancing the dominant role of IPE teachers, and improving data governance and ethical norms, aiming to provide theoretical and practical references for the rational application of AI in ideological and political education in universities.