Abstract: Under the background of the digital and intelligent transformation in education, knowledge graphs, as a typical representative of new digital technologies, are deeply integrated with teaching and learning, becoming a hotspot in the field of education. Leveraging smart education platform and AI technologies, a systematic knowledge graph for the course of plant biology was constructed in this study, and teaching practices were conducted to explore its substantive role in teaching and learning. The research results indicate that the course knowledge graph not only helps students organize the relationships between knowledge points, broaden their knowledge horizons, and thus build a systematic knowledge system, but also assists students in formulating personalized learning paths to improve scores and learning abilities. For teachers, the course knowledge graph serves as a powerful tool for efficiently managing teaching resources. Personalized learning data drives teachers to clearly grasp individual student differences, provide precise guidance, and continuously enhance teaching quality. This tripartite collaborative learning ecosystem of 'teacher-knowledge graph-student' provides a highly valuable practical model for the digital and intelligent transformation of education.

Key words: plant biology, knowledge graph, Xuexitong, artificial intelligence, personalized learning