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与课程教学融合路径。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的参与度和知识掌握率, 如碳平衡认知正确率提升至89%, 增强了学科认同感与社会责任感, 为课程智能化与思政融合提供实践参考。

Guided by the principle of “Empowering Three Dimensions” (intensity, depth, and breadth), this study addresses the major issues in the traditional teaching of plant physiology course, such as fragmented knowledge points, weak connection to practical applications, insufficient student initiatives, and rigid integration of ideological and political education. Taking the course of “the impact of respiration in agricultural and forestry production” as a key case, we explored the integration path of artificial intelligence (AI) and curriculum teaching. By constructing knowledge graphs, designing an AI-driven closed-loop teaching process covering the stages of “pre-class, in-class, and post-class”, and developing case generation tools, our reform has achieved systematic organization of knowledge, personalized teaching, and targeted cultivation of practical abilities of the students. Meanwhile, through AI tools, the course transformed the ideological and political elements—including the wisdom of agricultural civilization and the “Dual carbon” goals—into visual and interactive teaching content, establishing a trinity model of “Knowledge impartment, competence development, and value guidance”. Practice showed that AI empowerment had 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.