Abstract: To address the problems of unclear knowledge relationships, scattered resources, and insufficient personalized learning in Inorganic Chemistry, a new course construction scheme empowered by knowledge graph was proposed. The teaching content was refined into 11 modules, 7 levels, and 557 knowledge points, which were associated with learning resources and tests. A PRIDE blended teaching model was designed to support autonomous learning, precise teaching, and multi-dimensional evaluation. This practice provides a feasible path for the digital transformation of chemistry courses.

Key words: Knowledge graph, Inorganic chemistry, First-class course, Blended teaching, Personalized learning, Intelligent teaching