科技智囊Issue(7)：62-69,8.DOI:10.19881/j.cnki.1006-3676.2025.07.08
生成式人工智能与高校思想政治教育融合的路径
The Pathways of Integrating Generative Artificial Intelligence with College Ideological and Political Education
摘要
Abstract
[Research purpose]With the rapid development of generative artificial intelligence,colleges and universities in China are facing unprecedented opportunities and challenges in the field of ideological and political education.A central issue is how to navigate the deep-seated tension between technical logic and educational logic,and how to effectively integrate generative artificial intelligence while safeguarding the fundamental attributes of ideological and political education.As a cornerstone course to ensure that education performs its fundamental mission of fostering virtue,ideological and political education must not only convey core values and political stances but also proactively respond to the evolving demands of education in the digital era.[Research method]This study conducts a comprehensive review of relevant policy documents and recent academic literature to examine the current application of generative artificial intelligence technologies in ideological and political education in colleges.It identifies key practical scenarios,such as content generation,classroom interaction,learning support,and platform development,and employs frameworks from the philosophy of educational technology and ideological theory to systematically analyzing the multifaceted challenges posed by the integration of generative artificial intelligence into ideological and political education.[Research conclusion]Generative artificial intelligence demonstrates substantial potential in enhancing instructional efficiency and diversifying pedagogical formats across dimensions including content creation,interactive design,learning support,and platform integration.Nevertheless,its application also brings a set of critical challenges:misalignment between technical and educational logics,limited capacity for emotional engagement,model biases and ideological security concerns,weakening of teacher agency,generational divides,and adaptation gaps.Achieving meaningful integration of generative artificial intelligence into ideological and political education hinges on the development of localized AI models tailored for ideological instruction,the refinement of human-AI collaborative teaching mechanisms,the establishment of robust ethical frameworks,the enhancement of teachers'digital competencies,and the active reinforcement of student agency.Looking ahead,it is imperative to uphold a dual commitment to value orientation and innovation,and to systematically promote the deep fusion of technology and ideological and political education,ensuring that educational goals are not only preserved but elevated in the context of the digital age.关键词
生成式人工智能/高校思想政治教育/教育数字化Key words
generative artificial intelligence/college ideological and political education/digitalization of education分类
社会科学引用本文复制引用
庄琳璘,谈娅..生成式人工智能与高校思想政治教育融合的路径[J].科技智囊,2025,(7):62-69,8.基金项目
2024年重庆市教育委员会人文社会科学研究人文社科重点研究基地(郑洁名师工作室)项目"基于信息化教学平台的思政课智慧教学模式研究"(24SKJD089). （郑洁名师工作室）
