Modern Social Science Research
Modern Social Science Research. 2026; 6: (6) ; 10.12208/j.ssr.20260219 .
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武汉工程科技学院 湖北武汉
*通讯作者: 曾慧,单位:武汉工程科技学院 湖北武汉; ;
在“三全育人”综合改革背景下,古代文学课程思政的核心目标已从显性知识传递转向隐性价值浸润,强调通过文化共鸣实现家国情怀、道德伦理与文化自信的有机融合。然而在古代文学课程思政目标实施过程中,却依旧存在落实不佳的情况。究其原因,有认知层面、情感层面、实践层面、主体性层面的因素。而破解之道,则需要将课程思政与学生真实生活相联结。AI技术凭借其对数据的精准挖掘、对场景的智能建构、对个体的个性化响应,从智能挖掘、情景构建、价值延伸三个维度,为古代文学课程与学生日常生活实践的融合提供了“思政赋能”的新路径,最终让学生在古今对话中活化经典、在生活实践中立根塑魂,达成从“课程思政”到“生活思政”的知行合一的教育闭环。
The “Three-Comprehensive Education” reform has reoriented ideological and political education in ancient literature courses toward implicit value cultivation—cultivating national sentiment, moral ethics, and cultural confidence through cultural resonance rather than explicit knowledge transmission. Yet implementation remains uneven across cognitive, emotional, practical, and subjective dimensions, particularly when course-based ideological education fails to connect with students’ lived experiences. This study posits that AI technology can mitigate this disconnection through three interlocking mechanisms: intelligent data mining that reveals students’ implicit value orientations, contextual modeling that elucidates the contemporary relevance of classical texts, and value extension that bridges textual interpretation with practical engagement. By facilitating dialogue between past and present, these approaches enable students to revitalize classical texts and cultivate spiritual depth through lived practice, thereby bridging the gap between course-based and life-oriented ideological education.
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