在人工智能(AI)赋能三度(力度、深度和广度)理念指导下, 针对植物生理学传统教学中存在的知识点零散、实践关联弱、学生主动性不足及课程思政融入生硬等问题, 以“呼吸作用在农林业生产中的应用”为核心案例, 探索AI 与课程思政融合路径。通过构建知识图谱、设计 AI 驱动的课前-课中-课后闭环教学流程以及开发案例生成工具, 实现知识系统化、教学个性化和实践精准化; 借助 AI 将农耕智慧、“双碳”目标等思政要素转化为可视互动的形式, 构建了知识传授-能力培养-价值引领三位一体的模式。实践表明, AI 赋能有效提高了学生参与度和知识掌握率, 如碳平衡认知提升至 89%, 增强了学科认同与社会责任感, 为课程智能化与思政化融合提供实践参考。

Guided by the concept of “Empowering Three Dimensions” (intensity, depth, and breadth), this study addresses the issues in traditional Plant Physiology teaching, such as fragmented knowledge points, weak connection to practice, insufficient student initiative, and rigid integration of ideological and political education. Taking “The application of respiration in agricultural and forestry production” as the core case, it explores the integration path of AI and ideological and political education in the curriculum. By constructing knowledge graphs, designing an AI-driven closed-loop teaching process covering the “Pre-class, in-class, and post-class” stages, and developing case generation tools, the reform has achieved systematic organization of knowledge, personalized teaching, and targeted cultivation of practical abilities. Meanwhile, through AI tools, ideological and political elements—including the wisdom of agricultural civilization and the “Dual carbon” goals—have been transformed into visual and interactive teaching content, establishing a trinity model of “Knowledge impartment, competence development, and value guidance”. Practice shows that AI empowerment has effectively improved students’ participation and knowledge mastery (e.g., the recognition of carbon balance increased to 89%), enhanced their discipline identity and sense of social responsibility. This research provides practical references for the integrated reform of curriculum intellectualization and ideological and political education.