Frontiers in Educational Research, 2025, 8(11); doi: 10.25236/FER.2025.081115.
Lanlan Zhang1,2, Zhenping Zhang3
1Faculty of Education, Guangxi Normal University, Guilin, 541000, Guangxi, China
2Yunnan Minzu University, Kunming, 650500, Yunnan, China
3Kunming Institute of Precision Machinery, Kunming, 650500, Yunnan, China
With the explosive development of generative artificial intelligence technology, the ecosystem of ideological and political education in universities faces both opportunities and challenges for systematic transformation. This paper adopts the logical framework of "technology empowerment-ecosystem adaptation-risk regulation." First, it defines the technical attributes of generative AI and the constituent elements of the ideological and political education ecosystem (educators, learners, educational content, and educational environment), analyzing the influence mechanisms of technology on each element. Second, through theoretical analysis and practical observations, it explores the advantages of generative AI in innovating the presentation forms of ideological and political education content, optimizing teaching methods, and achieving precise service evaluation, while also revealing its associated risks such as information security threats, value orientation deviations, teacher-student relationship alienation, and challenges in teacher role transformation. Finally, from three dimensions—technology research and safety safeguards, innovation in teaching and learning models, and improvement of management mechanisms—it proposes specific strategies: enhancing university-research collaboration for adaptive technology development, constructing an interactive inquiry-based teaching model centered on students, and establishing robust ethical review and university-government-enterprise collaborative mechanisms. This study aims to provide theoretical references and practical guidance for resolving conflicts in technology application and promoting high-quality development of the ideological and political education ecosystem in universities, thereby supporting the fundamental task of fostering virtue through education.
Generative Artificial Intelligence, Ideological and Political Education, Educational Ecology
Lanlan Zhang, Zhenping Zhang. Exploring the Pathways of Generative Artificial Intelligence in Reshaping the Ideological and Political Education Ecosystem in Universities. Frontiers in Educational Research (2025), Vol. 8, Issue 11: 102-109. https://doi.org/10.25236/FER.2025.081115.
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