AI Assisted Dual-Cycle Full-Process Project-Based Teaching Practice:Principles of Composite Materials Courses
SHI Chun-Wei1**, YANG Zhan-Xu1, LIANG Fu-Xin2
1. School of New Energy and Materials, Liaoning Petrochemical University, Fushun 113001, China; 2. Department of Chemistry, Capital Normal University, Beijing 100048, China
Abstract In the digital and intelligent era,generative AI(especially the integration of Large Language Models/LLMs and Retrieval-Augmented Generation/RAG) leverages its capabilities in dynamic knowledge generation and personalized interaction to provide a new solution for the curriculum development of Principles of Composite Materials,making it more adaptable to the needs of project-based teaching.The curriculum constructs a three-stage pathway of“collaborative integration-hybrid optimization-physical practice”through AI technology:Utilizing LLMs to build an RAG-enhanced intelligent resource platform covering“knowledge-competence-value”,so as to realize resource reconstruction and ubiquitous learning;Designing a BLIE(Blended,Layered,Interactive,Evolutionary) segmented teaching process,where LLMs generate personalized tasks,RAG extracts industry cases,and AI-based analysis is integrated to improve students’ competencies;Conducting full-participation,whole-process,and comprehensive physical project teaching.With LLMs supporting project topic selection and AI-enabled evaluation optimizing feedback mechanisms,a systematic“topic selection-design-iteration”cycle is formed.Empirical results show that 70% of students have won awards in provincial competitions,50% of graduates have engaged in frontline work in the materials industry,and the curriculum has been recognized as a“Provincial First-Class Curriculum”and a“Demonstration Curriculum for Ideological and Political Education in Courses”.It provides a replicable mode for the digital and intelligent reform of engineering curricula.
SHI Chun-Wei, YANG Zhan-Xu, LIANG Fu-Xin. AI Assisted Dual-Cycle Full-Process Project-Based Teaching Practice:Principles of Composite Materials Courses[J]. Chinese Journal of Chemical Education, 2026, 47(4): 84-91.
