Abstract: In the context of the rapid advancement of artificial intelligence, smart teaching has emerged as an innovative approach to higher education curriculum reform. This study establishes a student-centered smart teaching framework through the strategic design of curriculum levels, refinement of competency development pathways, and deep integration of disciplinary knowledge with intelligent technologies. Using the organic chemistry course as a case study, the proposed model incorporates advanced technologies such as artificial intelligence and big data analytics to optimize the allocation and utilization of teaching resources, thereby achieving personalized and precise teaching processes. The implementation of virtual laboratories, intelligent Q&A systems, and online learning platforms enables students to engage comprehensively in pre-class, in-class, and post-class learning activities, significantly enhancing their autonomous learning capabilities and practical operational skills. Empirical teaching practices demonstrate that this model effectively improves students’ classroom engagement, comprehensive competencies, and learning outcomes.

Key words: Smart teaching, Organic chemistry, Teaching reform, Autonomous learning, Teaching innovation