University Chemistry ›› 2026, Vol. 41 ›› Issue (9): 62-69.doi: 10.12461/PKU.DXHX202508068

• Study and Reform of Chemical Education • Previous Articles     Next Articles

AI-enabled curriculum construction for physical chemistry: innovation and practice of the tripartite interactive teaching model

Rongjiao Zhu1,2, Xia Feng1,2, Yan Sun1,2, Junji Liu1,2, Li Chen1,2, Rongjin Li1,2, Yuxin Wang1,2, Yajing Sun1,2, Fangxu Yang1,2   

  1. 1 Department of Chemistry, School of Science, Tianjin University, Tianjin 300354, China;
    2 National Demonstration Center for Experimental Chemistry and Chemical Engineering Education, Tianjin University, Tianjin 300354, China
  • Received:2025-08-25 Accepted:2025-10-22 Published:2026-09-01
  • Contact: Rongjiao Zhu E-mail:zhurongjiao@tju.edu.cn

Abstract: The rapid advancement of generative artificial intelligence (AI) technologies has positioned educational intelligence as a pivotal focus in global higher education reform. This study presents Tianjin University's Physical Chemistry course as a case study, demonstrating the implementation pathway for AI-enhanced curriculum development. The research highlights the establishment and application of a blended teaching model featuring tripartite interaction among teachers, students, and AI systems, combining online and offline components. Through the development of a four-tier knowledge graph and the deployment of intelligent tools including AI teaching assistants, the model achieves precise alignment and personalized distribution of educational resources. The integrated approach of tripartite interactive blended instruction and multidimensional intelligent assessment has significantly enhanced instructional preparation efficiency, student learning outcomes, and AI literacy. Empirical results indicate that this model effectively overcomes the limitations of the “one-size-fits-all” approach in conventional pedagogy, offering a replicable paradigm for intelligent transformation of related academic courses in higher education.

Key words: Artificial intelligence, Physical chemistry, Intelligent curriculum, Tripartite interaction, Teaching model