Abstract: Coordination compounds represent a core topic in courses such as Inorganic Chemistry, Principles of General Chemistry, and Engineering Chemistry, featuring abstract theoretical frameworks and a strong theory-application nexus. In traditional instruction, students frequently encounter challenges including limited learning engagement, difficulties in developing scientific thinking, and delayed feedback on their progress. This paper adopts an AI-empowered research-education integration strategy to explore an effective teaching model. By combining the team's expertise in functional coordination compounds (e.g., photochromic compounds) with the appropriate AI tools (e.g., learning analytics, knowledge graphs, and dynamic feedback systems), a comprehensive teaching loop that seamlessly connects pre-/in-/post-class activities has been established. Teaching practice demonstrates that this model effectively stimulates student motivation, fosters innovative thinking, and significantly enhances their capacity to solve complex problems independently.

Key words: Inorganic chemistry, Coordination compound, Research-education integration, AI empowerment, Smart course