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生成式人工智能赋能“大思政课”创新路径研究
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Abstract:
生成式人工智能是未来的核心技术,“大思政课”是新时代背景下对思想政治教育理论与实践的创新探索,旨在构建更加全面、深入、立体化的育人格局。通过生成式人工智能技术支撑,重构历史叙述、教学方法与协同机制,推动“大思政课”教育向智能化转型。基于智能算法的虚实融合实践教学场域,实现了理论认知与价值内化的深度耦合,破解了传统育人模式的时空局限。生成式人工智能技术整合教育资源,构建“全员参与、全程贯通、全域覆盖”的协同育人格局,提升“三全育人”实效。然而,技术应用面临数据隐私泄露、算法伦理失范等挑战,需建立价值校准、风险防控、效能评估治理体系,将社会主义核心价值观嵌入技术逻辑,确保人工智能服务于“为党育人、为国育才”根本目标。
Generative Artificial Intelligence represents a pivotal technology for the future, while “The Com- prehensive Ideological and Political Education” embodies an innovative exploration of ideological and political education in the new era, aiming to construct a more holistic, profound, and multidimensional educational paradigm. Supported by generative artificial intelligence technology, this initiative reconstructs historical narratives, pedagogical methodologies, and collaborative mechanisms, propelling the transition of “The Comprehensive Ideological and Political Education” toward intelligent transformation. Through virtual-real integrated practical teaching domains enabled by intelligent algorithms, a profound coupling between theoretical cognition and value internalization is achieved, resolving the temporal and spatial constraints inherent in traditional educational models. By leveraging generative artificial intelligence to consolidate educational resources, a collaborative education framework characterized by “all-member participation, whole-process integration, and all-domain coverage” is established, enhancing the efficacy of the “Three-Aspect Education”. However, challenges such as data privacy breaches and algorithmic ethical anomalies necessitate the establishment of a governance system encompassing value alignment, risk mitigation, and efficacy evaluation. Integrating socialist core values into the technological logic ensures that artificial intelligence serves the fundamental goal of “cultivating talent for the party and the nation”.
[1] | 杜尚泽. “‘大思政课’我们要善用之” (微镜头∙习近平总书记两会“下团组”∙两会现场观察) [N]. 人民日报, 2021-03-07. |
[2] | 温旭. 新质态与新境遇: 生成式人工智能赋能思想政治理论课内涵式发展论析[J]. 思想教育研究, 2025(2): 94-101. |
[3] | 本书编写组. 思想政治教育学原理[M]. 第2版. 北京: 高等教育出版社, 2018: 159. |
[4] | 郑永廷, 胡树祥, 骆郁廷. 思想政治教育方法论(修订版) [M]. 北京: 高等教育出版社, 2010: 3, 64. |
[5] | 张阳, 徐业坤. 超越机械思维: 生成式人工智能如何改变高校“大思政课” [J]. 大学教育科学, 2024(3): 47-54. |
[6] | 李艳, 许洁, 贾程媛, 翟雪松. 大学生生成式人工智能应用现状与思考——基于浙江大学的调查[J]. 开放教育研究, 2024, 30(1): 89-98. |