Research on the Strategies of Generative Artificial Intelligence Empowering Ancient Poetry Teaching in Primary School Chinese Language—A Case Study of Wang Tianmen Mountain

生成式人工智能为小学语文古诗教学的数字化转型提供了关键支撑，契合《义务教育语文课程标准（2022年版）》对信息技术与语文教学融合的要求。针对当前古诗教学中存在的目标应试化、策略模式化、古今文化隔阂等问题，以部编版三年级上册《望天门山》为案例，探讨生成式人工智能在古诗教学中的应用价值与实践策略。研究从建构主义学习理论与联结主义学习理论的双重视角出发，揭示生成式人工智能作为“认知伙伴”参与学生知识建构与意义生成的内在机制——它不仅提供学习资源，更通过对话性交互与文化性中介重塑学生的认知方式与思维模式。研究表明，生成式人工智能可通过个性化学习支持、教学效率提升、传统文化赋活三大路径赋能古诗教学，具体可依托场景化沉浸体验、个性化分层导学、可视化知识建构、多模态趣味巩固四大策略，贯穿课前预习、课中教学、课后拓展全流程。本文构建的AI赋能教学框架，为智慧教育背景下小学语文古诗教学的创新发展提供了实践参考。Generative Artificial Intelligence (Generative AI) provides crucial support for the digital transformation of ancient poetry teaching in primary school Chinese language courses, which aligns with the requirements for integrating information technology with Chinese language teaching as specified in the Compulsory Education Chinese Curriculum Standards (2022 Edition). Aiming at addressing the existing issues in current ancient poetry teaching—such as exam-oriented teaching objectives, rigid teaching strategies, and cultural gaps between ancient and modern times, this study takes Wang Tianmen Mountain (from the first semester of the third-grade textbook compiled by the Ministry of Education) as a case to explore the application value and practical strategies of Generative AI in ancient poetry teaching. From the dual perspectives of constructivist learning theory and connectionist learning theory, this study reveals the internal mechanism by which generative artificial intelligence acts as a “cognitive partner” to participate in students’ knowledge construction and meaning generation. Rather than merely providing learning resources, it reshapes students’ cognitive styles and thinking patterns through dialogic interaction and cultural mediation. The research shows that Generative AI can empower ancient poetry teaching through three key pathways: personalized learning support, improvement of teaching efficiency, and revitalization of traditional culture. Specifically, it can rely on four strategies—scenario-based immersive experience, personalized hierarchical guidance, visualized knowledge construction, and multi-modal interesting consolidation—to run through the entire process of pre-class preview, in-class teaching, and post-class expansion. The AI-empowered teaching framework constructed in this paper provides practical references for the innovative development of ancient poetry teaching in primary school Chinese language courses under the background of smart education.