生成式AI赋能“大思政课”的耦合路径

The Coupling Pathways of Generative AI Empowering the “Grand Ideological and Political Course”

摘要: 生成式AI技术正引领着教育领域的变革创新，对于教育领域，生成式AI具备工具价值、融合价值、终极价值三层价值，为传统“大思政课”带来创新的赋能途径。但新技术的发展往往伴随新的安全风险。生成式AI技术对传统教学模式的重塑的同时，也因其存在认识“幻觉”、伦理隐患、去中心化、科技依赖等问题对教育者提出更高要求，致使“大思政课”建设面临诸多挑战。必须坚持问题导向，通过增强师生智适应能力、构建思政教育大模型、强化主流价值引领、构建多维度评价机制，全面推动生成式AI与“大思政课”建设和合共生，进而促进高校思政课数字化转型，创造“人机共教”的高校思政教育未来。

Abstract: Generative AI technology is spearheading transformative innovations in the field of education. In education, generative AI possesses three layers of value—instrumental value, integration value, and ultimate value—offering innovative pathways for empowering the traditional “Grand Ideological and Political Course”. However, the advancement of new technologies is often accompanied by new security risks. While reshaping traditional teaching models, generative AI also gives rise to issues such as cognitive “hallucinations”, ethical concerns, decentralization, and technological dependence. These problems impose higher demands on educators and cause the construction of the “Grand Ideological and Political Course” to face numerous challenges. It is essential to adhere to a problem-oriented approach by enhancing the intelligent adaptive capacity of both teachers and students, building a large model for ideological and political education, strengthening the guidance of mainstream values, and constructing a multi-dimensional evaluation mechanism. Through these measures, we can comprehensively promote the harmonious coexistence of generative AI and the construction of the “Grand Ideological and Political Course”, thereby advancing the digital transformation of ideological and political courses in colleges and universities, and creating a future of “human-machine co-teaching” for higher education ideological and political education.