The Logical Reasoning, Value Implications and Practical Path of Generative AI Technology Empowering the Teaching of Civics and Politics Classes in Colleges and Universities

随着生成式人工智能技术的快速发展，其与教育领域的深度融合为高校思想政治理论课(思政课)教学创新提供了新机遇。本文以生成式AI技术赋能思政课教学为核心，系统探讨其逻辑理路、价值意蕴与实践路径。研究发现，在马克思主义理论指导下，生成式AI技术能够通过优化教学实践逻辑、增强教育价值逻辑，显著提升教学效率与学习效果，推动个性化与差异化教学，强化学生主体性与课堂参与度，并促进教学资源的精准配置与管理。基于此，本文提出创新教学内容与方法、重构教与学互动机制、完善动态评价体系以及推进跨学科资源整合等实践路径，旨在为新时代思政课教学的高质量发展提供理论支撑与可操作性方案，助力技术赋能与价值引领的有机统一。With the rapid development of generative artificial intelligence (AI) technology, the in-depth integration of generative AI technology with the field of education provides new opportunities for the innovation of the teaching of ideological and political theory classes in colleges and universities (Civics and Politics Classes). This paper takes generative AI technology empowering the teaching of Civics and Politics class as the core, and systematically explores its logical rationale, value implication and practical path. It is found that under the guidance of Marxist theory, generative AI technology can optimize the logic of teaching practice and enhance the logic of educational value, significantly improve teaching efficiency and learning effect, promote personalized and differentiated teaching, strengthen students’ subjectivity and classroom participation, and promote the precise allocation and management of teaching resources. Based on this, this paper proposes innovative teaching content and methods, reconfiguring the teaching-learning interaction mechanism, perfecting the dynamic evaluation system, and promoting the integration of interdisciplinary resources and other practical paths, aiming to provide theoretical support for the high-quality development of Civics and Politics teaching in the new era and operational programs, and to help unify the organic unity of technological empowerment and value leadership.