Application Approaches of Generative AI in College Ideological-Political Education

生成式人工智能的兴起为高校思想政治教育提供前所未有的机遇与挑战。生成式人工智能将从推进教育主体智能化提升、助力教育客体全面性发展、驱动教育介体创新性突破和促进教育环体多维化扩展对高校思想政治教育产生积极效应。同时，其潜在隐患如算法的不透明性、效果导向的思维模式、对智能技术的过度依赖以及隐私保护问题凸显。探索智能时代背景下高校思想政治教育的实践进路可从掌握技术主导、坚守价值主线、重塑协作模式和规范应用边界四方面着眼，促进高校思想政治教育的时代转型。The rise of generative AI offers unprecedented opportunities and challenges for ideological and political education in Chinese universities. It can positively impact education through promoting the intelligence of educational subjects, facilitating the comprehensive development of educational objects, driving the innovative breakthroughs of educational media, and expanding the multi-dimensional development of the educational environment. However, potential risks like algorithmic opacity, an effect-oriented mindset, over-reliance on intelligent technology, and privacy-related issues also emerge. To address these, in the intelligent era, the practical path for ideological and political education in universities should focus on mastering technological dominance, adhering to the value core, reshaping cooperative models, and standardizing application boundaries, promoting the modern transformation of such education.