人工智能赋能思政课教学改革的内在机理、风险挑战与应对措施

The Intrinsic Mechanism, Risk Challenges and Countermeasures of Empowering Ideological and Political Theory Course Teaching Reform with Artificial Intelligence

摘要: 生成式人工智能的兴起正深刻重塑教育生态，为思政课教学改革创新带来新的机遇与挑战。本研究通过文献分析与针对某学员的小范围问卷调查，探讨人工智能通过重塑内容供给、实现精准教学、创设沉浸场景、赋能过程评价等方式赋能教学的内在机理。同时，研究揭示了技术应用中可能存在的教学目标偏移、算法偏见带来的价值观引导风险、情感交互弱化、军事数据安全威胁及教学主体素养鸿沟等挑战。基于实证反馈与理论分析，文章提出应坚持技术赋能与价值引领相统一，构建人机协同教学新范式；通过私有化部署、联邦学习等具体技术路径与分层治理框架筑牢安全防线；系统提升师生智能素养；并围绕“为战育人”核心使命开发特色应用场景，以推动人工智能在思政课教学中的安全、有效、深度融合。

Abstract: The rise of generative artificial intelligence is profoundly reshaping the educational ecosystem, presenting new opportunities and challenges for the reform and innovation of ideological and political education. This study, through literature analysis and a small-scale questionnaire survey of certain students, explores the internal mechanisms by which artificial intelligence empowers teaching through reshaping content supply, achieving precise teaching, creating immersive scenarios, and enabling process evaluation. At the same time, the research reveals potential challenges in the application of technology, such as the deviation of teaching goals, the risk of value guidance brought by algorithmic bias, the weakening of emotional interaction, the threat to military data security, and the digital literacy gap among teaching subjects. Based on empirical feedback and theoretical analysis, the article proposes that we should adhere to the unity of technological empowerment and value guidance, build a new paradigm of human-machine collaborative teaching; strengthen the security defense through specific technical paths such as private deployment and federated learning, and a hierarchical governance framework; systematically enhance the digital literacy of teachers and students; and develop characteristic application scenarios around the core mission of “cultivating talents for war”, to promote the safe, effective, and deep integration of artificial intelligence in ideological and political education.