关键词:
AIGC技术
红色资源
思想政治教育
摘要:
作为治理机制创新的缩影,生成式人工智能(AIGC)意味着我国红色资源育人实践已从技术工具主义适时转向协力互补的善治轨道,具有良性制度变迁的积极意涵。AIGC是红色资源教育中整合多元力量、凝聚各方共识的制度纽带,然而其在公众指向技术应用、教学实践、育人功能等方面相继遭遇“失灵”,表明红色资源教育在技术创新、教学改革、价值传承等多个维度面临挑战。引发技术应用危机的深层次因素既关乎“技术裹挟”不当取代教育本质,也涉及符号互动的遮蔽效应,同时与育人功能让位于技术创新密切相关。从整体主义视角看,应当以系统性的进路,改善AIGC的内容创造力及其多模态协同能力,构筑认知交互的平衡约束机制,建立政策引导与技术支撑的制度保障,进而在普遍意义上稳定教育预期,重塑红色资源育人的制度纽带。文章为深化AIGC赋能高校思政教育提供了理论支撑和实践路径,对于推动红色文化传承创新具有重要意义。As a microcosm of governance mechanism innovation, Artificial Intelligence for General Content (AIGC) signifies that China’s red cultural resources education has timely shifted from technological instrumentalism to a track of cooperative and complementary good governance, embodying positive implications for beneficial institutional transformation. While AIGC serves as an institutional nexus for integrating diverse forces and building consensus in red cultural resources education, it has encountered successive “failures” in public technological application, teaching practice, and educational function, indicating challenges across multiple dimensions including technological innovation, pedagogical reform, and value transmission. The deep-seated factors triggering this technological application crisis relate not only to the inappropriate replacement of educational essence by “technological entanglement” but also involve the masking effects of symbolic interaction and the subordination of educational function to technological innovation. From a holistic perspective, a systematic approach should be adopted to enhance AIGC’s content creativity and multimodal coordination capabilities, establish balanced constraint mechanisms for cognitive interaction, and develop institutional safeguards through policy guidance and technical support, thereby universally stabilizing educational expectations and reconstructing the institutional bonds of red cultural resources education. This research provides a theoretical underpinning and practical pathways for deepening AIGC-enabled ideological and political e