AI+Chemistry Education in Top Chinese University: Embedding Computational Thinking into Curriculum

Intergtating Artificial General Intelligence (AGI) into chemistry education requires shifting from treating AI as an opaque tool to cultivating students' computational thinking—the ability to deconstruct algorithmic logic and apply it to solve chemical problems. Based on pre-curriculum investigation and analysis, this paper proposes an innovative interdisciplinary teaching framework that bridges AGI theory with chemistry education through computational thinking. By employing multidimensional strategies such as embodied cognition, metacognitive approaches, and phenomenon-based learning, we empower students to deconstruct the "black box" of AI algorithms and develop innovative domain-specific solutions. Pilot implementations demonstrate significant improvements in students' understanding and application of AI for chemical problem-solving. Capitalizing on this advantage, the course has been included as a core required course in compulsory Chemical Engineering + AI undergaduation program of Tanwei College, Tsinghua University. This approach not only equips students with technical proficiency but also cultivates a generation of AI+Chemistry capable of co-designing AGI systems to address real-world challenges.