Abstract: This paper delineates the distinctive features of physical chemistry courses and identifies the limitations inherent in traditional teaching methodologies. It examines the synergistic advantages of integrating artificial intelligence (AI) with the Rain Classroom platform and details the implementation process of AI-enabled Rain Classroom in blended teaching of physical chemistry, encompassing pre-class, in-class, and post-class instructional design. Through empirical teaching practices and student feedback, the study investigates the impact of the blended teaching model on students’ learning outcomes, academic interest, autonomous learning capabilities, and innovative practical skills. The findings demonstrate significant improvements in students’ academic performance with no failing grades, a substantial increase in learning interest accompanied by approximately threefold engagement enhancement, and notable advancements in both learning and practical abilities. This research aims to provide innovative approaches and methodologies for the reform of physical chemistry education, facilitating the profound integration of educational technology with disciplinary instruction.

Key words: AI-enabled, Rain classroom, Physical chemistry, Blended teaching