摘要

自2022年底以来，以ChatGPT和DeepSeek为代表的生成类人工智能大模型在全社会快速普及，“生成类人工智能+教育”也随之从设想变为日常。值得关注的是，在高校思政教育中，人工智能既是内容生产的“加速器”，同时也是价值传播的“放大器”：提供优质资源、创新课堂形态、实施精准思政、传播话语转化都因AI而获得新的工具；但与此同时，危机也随之而来：意识形态渗透更加隐蔽、师生主体性逐渐侵蚀、伦理规则发展滞后于技术、教育的人文底色趋于淡化等诸如此类的风险也同步显现。为应对新技术带来的双重影响，本文立足于高校思政教育的现实需求，通过系统分析生成类人工智能给高校思政教育带来的机遇与挑战，提出具有针对性和操作性的应对策略，为推动高校思政教育高质量发展提供理论参考与实践借鉴。

Abstract

Since the end of 2022, generative artificial intelligence (AI) large models represented by ChatGPT and DeepSeek have rapidly gained popularity in society. The concept of "generative AI + education" has transitioned from theoretical speculation to practical implementation. In the context of ideological and political education in higher education institutions, AI functions as both a "catalyst" for content production and an "amplifier" for value transmission. It provides new tools for high-quality resource delivery, classroom innovation, precision ideological education, and discourse transformation. However, this technological advancement also introduces significant risks: ideological infiltration becomes more subtle, subjectivity of teachers and students is gradually eroded, ethical frameworks lag behind technical development, and the humanistic essence of education risks dilution. To address these dual impacts of emerging technology, this paper systematically analyzes the opportunities and challenges brought by generative AI to ideological and political education, proposes targeted and actionable strategies, and offers theoretical guidance and practical references for promoting high-quality development in this field.

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