高校教育管理2025，Vol.19Issue(6)：113-124,12.DOI:10.13316/j.cnki.jhem.20251020.010
人工智能赋能高校思政课教学的价值优势、潜在风险与治理机制
The value advantages,potential risks,and governance mechanisms of AI empowering ideological and political theory courses in universities
摘要
Abstract
In the era where artificial intelligence is profoundly empowering educational transformation,it has become an inevitable trend for ideological and political theory courses in universities to achieve teaching innovation through technology-driven approaches.Technology-driven methods empower the reform and development of these courses with advantages such as data-driven precision teaching,scene reconstructed immersive experiences,and collaborative supply of integrated resources.However,potential risks inherent in technology drive,such as data alienation,scenario distortion,and crises of subjectivity,are undermining the ideological leadership efficacy of ideological and political theory courses in universities.Consequently,constructing data governance mechanisms,scenario calibration mechanisms,and subject empowerment mechanisms dominated by value rationality can provide a theoretical framework and practical pathway for resolving the balance between technological empowerment and ideological security.This offers a theoretical paradigm for the intelligentization of ideological and political theory courses teaching through artificial intelligence.Furthermore,it practically establishes a teaching operating system for these courses characterized by"human-machine collaboration and technology-pedagogy integration",achieving a dialectical unity between technological empowerment and value guidance.关键词
人工智能/高校思政课/意识形态/数据治理/场景校准/主体赋能Key words
artificial intelligence/ideological and political theory courses in universities/ideology/data governance/scenario calibration/subject empowerment分类
教育学引用本文复制引用
王江,李亚员..人工智能赋能高校思政课教学的价值优势、潜在风险与治理机制[J].高校教育管理,2025,19(6):113-124,12.基金项目
国家社会科学基金一般项目(22BKS126) （22BKS126）
教育部人文社会科学研究一般项目(24YJC710035) （24YJC710035）
吉林省教育厅科学研究项目(JJKH20240402SZ) （JJKH20240402SZ）
吉林省高等教育学会科研课题(JGJX24D0173) （JGJX24D0173）
