人工智能赋能高校思政教育的机遇、挑战与对策
Opportunities, Challenges, and Strategies for AI-Empowered Ideological and Political Education in Colleges and Universities
DOI: 10.12677/ae.2026.164651, PDF,    科研立项经费支持
作者: 马莉薇*, 毕拥国, 徐学华, 王 征:河北农业大学林学院(园林与旅游学院),河北 保定;秦 强:河北农业大学教务处,河北 保定
关键词: 人工智能融合发展多元协同智慧思政平台思政教育创新Artificial Intelligence Integrated Development Multivariate Collaboration Smart Ideological and Political Education Platform Innovation of Ideological and Political Education
摘要: 在“数字中国”战略背景下,人工智能正深刻重塑高校思想政治教育生态。本文深入分析了人工智能赋能高校思政教育的机遇、挑战与优化路径。发现人工智能推动教育主客体向平等交互转变,实现教育资源的精准配置与内容的多元呈现,促进教育方法从经验式向预测性治理转型,并构建全过程、动态化的科学评价体系。与此同时,技术应用面临严峻挑战:技术理性导致思政“温度”流失、数据伦理风险引发“力度”削弱、数字鸿沟带来“效度”折损及信息茧房造成“精度”偏差。基于上述挑战,本文提出通过确立“人机协同、以人为本”的思维范式,遵循融合发展规律、构建多元协同的育人团队,夯实智慧思政平台基础,建立规范高效的长效治理体系,实现思政教育创新发展路径。
Abstract: Under the background of the “Digital China” strategy, artificial intelligence is profoundly reshaping the ecosystem of ideological and political education in colleges and universities. This paper conducts an in-depth analysis of the opportunities, challenges, and optimization paths for AI-empowered ideological and political education in colleges and universities. It finds that AI promotes the transformation of the subject and object of education towards equal interaction, realizes the precise allocation of educational resources and the diversified presentation of content, facilitates the transition of educational methods from empirical approaches to predictive governance, and constructs a comprehensive, dynamic, and scientific evaluation system. Meanwhile, the application of technology faces severe challenges, such as technological rationality leads to the loss of “passion” in ideological and political education, data ethical risks weaken the “power”, the digital divide impairs the “efficiency”, and information cocoons cause deviations in accuracy. Due to these challenges, this paper proposes an innovative development path for ideological and political education by establishing the paradigm of “human-machine collaboration and people-oriented thinking”. The path follows the laws of integrated development, builds a diversified and collaborative educational team, consolidates the foundation of smart ideological and political platforms, and establishes a standardized, efficient, and long-term governance system.
文章引用:马莉薇, 秦强, 毕拥国, 徐学华, 王征. 人工智能赋能高校思政教育的机遇、挑战与对策[J]. 教育进展, 2026, 16(4): 288-296. https://doi.org/10.12677/ae.2026.164651

参考文献

[1] 国家发展和改革委员会发展战略和规划司. 国家及各地区国民经济和社会发展第十四个五年规划和2035年远景目标纲要(上) [M]. 北京: 人民出版社, 2022: 21.
[2] 中国信息通信研究院. 中国数字经济发展白皮书[EB/OL]. http://www.caict.ac.cn/kxyj/qwfb/bps/202104/t20210423_374626.htm, 2025-12-17.
[3] 韩孟洁. 大数据时代高校思想政治教育精准化研究[D]: [博士学位论文]. 北京: 北京交通大学, 2024: 12.
[4] Long, D. and Magerko, B. (2020) What Is AI Literacy? Competencies and Design Considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu, 25-30 April 2020, 1-16. [Google Scholar] [CrossRef
[5] 孙其信, 韩晓艳, 仇鹿鸣. 大数据时代高校思想政治教育的机遇、挑战与对策[J]. 思想教育研究, 2020(5): 88-92.
[6] 陈万柏, 张耀灿. 思想政治教育学原理[M]. 第3版. 北京: 高等教育出版社, 2015: 219-220.
[7] 张铨洲. 大数据赋能高校思想政治教育研究[D]: [博士学位论文]. 北京: 北京交通大学, 2024: 92.
[8] Bienkowski, M., Feng, M. and Means, B. (2012) Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics: An Issue Brief. U.S. Department of Education, Office of Edu-cational Technology, 1-77.
[9] 刘骏. “数字思政”的伦理审视: 价值、矛盾和治理[J]. 思想理论教育, 2023(9): 84-88.
[10] 李伦, 黄关. 数据主义与人本主义数据伦理[J]. 伦理学研究, 2019(2): 102-107.
[11] Younis, H.A., Ruhaiyem, N.I.R., Ghaban, W., Gazem, N.A. and Nasser, M. (2023) A Systematic Literature Review on the Applications of Robots and Natural Language Processing in Education. Electronics, 12, Article 2864. [Google Scholar] [CrossRef
[12] 卫承霏. 大数据分析在高校思想政治教育中的应用风险与纠偏路径[J]. 高校教育管理, 2023, 17(6): 12-20.
[13] 黄欣荣. 人工智能的社会风险及其治理[J]. 自然辩证法研究, 2021, 37(2): 46-52.
[14] Zawacki-Richter, O., Marín, V.I., Bond, M. and Gouverneur, F. (2019) Systematic Review of Research on Artificial Intelligence Applications in Higher Education—Where Are the Educators? International Journal of Educational Technology in Higher Education, 16, Article No. 39. [Google Scholar] [CrossRef
[15] 臧红玲. 高校思想政治教育前沿问题研究[M]. 长春: 吉林人民出版社, 2017: 194.
[16] Kara, A. (2021) COVID-19 Pandemic and Possible Trends into the Future of Higher Education: A Review. Journal of Education and Educational Development, 8, 9-26.