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生成式人工智能赋能高校思想政治教育的可行性及路径研究

Feasibility and Pathways for Generative AI to Empower Ideological and Political Education in Higher Education Institutions

Progress in Social Sciences / 2025,7(11): 883-887 / 2025-11-17 51 8

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• Authors: 辜秀红 张敏 于敏章
• Information:

  成都师范学院，成都

• Keywords:
  Generative artificial intelligence; Higher education institutions; Ideological and political education; Ideology; Feasibility
  生成式人工智能; 高校; 思想政治教育; 意识形态; 可行性
• Abstract: Ideological and political education is a critical educational endeavor that concerns the nation's future and destiny. In recent years, generative artificial intelligence has demonstrated remarkable vitality across various fields due to its powerful capabilities. The Party and the state attach great importance to the application of generative AI in ideological and political education within higher education institutions. This study analyzes the compatibility between generative AI and ideological and political education in higher education institutions, demonstrating its feasibility in terms of technological means, educational needs, policy support, and practical application. It further explores pathways such as value-driven guidance, human-machine collaboration, integration into educational processes, and enhanced platform development, providing valuable insights for empowering the innovative development of ideological and political education in higher education institutions through generative AI. 思想政治教育是关乎国家前途和命运的关键性教育活动。近年来，生成式人工智能因其强大功能在各领域焕发出勃勃生机，党和国家高度重视生成式人工智能在高校思想政治教育中的应用。本研究通过分析生成式人工智能与高校思想政治教育的契合度，论证了其在技术手段、教育需求、政策支持和实践应用等方面的可行性，从而进一步探索出价值引领方向、人机协同发力、融入教育过程、加强平台建设等路径，为生成式人工智能赋能高校思想政治教育的创新发展提供有益参考。
• DOI: https://doi.org/10.35534/pss.0711150 (registering DOI)
• Cite: 辜秀红，张敏，于敏章．生成式人工智能赋能高校思想政治教育的可行性及路径研究［J］．社会科学进展，2025，7（11）：883-887.