AI驱动的中医英语教学改革路径研究OA

With the accelerating internationalization of traditional Chinese medicine(TCM),there is an urgent need to cultivate interdisciplinary talents capable of precise and vivid cross-cultural as well as scientific communication.Traditional undergraduate TCM English teaching for English major(TCM-oriented)generally faces a dual dilemma of incommensurable knowledge systems and outdated pedagogical models.To address this challenge,grounded in Cognitive Constructivism and Situated Learning Theory,this study proposes an AI-driven pathway for educational reform of TCM English,with a TCM knowledge graph(KG)as its foundation,an intelligent tutoring system(ITS)as its engine,and a virtual patient(VP)dialogue system as a platform.The resulting three-tiered,progressive"KG+ITS+VP"technological architecture forms a complete closed loop from knowledge structurization,personalized instruction to practical simulation.Based on this architecture,this study further elaborates on how to reconstruct a competency-oriented curriculum,human-AI collaborative pedagogical models,and a data-driven assessment system,guided by the principles of English for specific purposes and task-based language teaching.This AI-driven pathway not only offers a technical reference for breaking the long-standing bottlenecks in undergraduate TCM English education,but also offers critical reflections on the potential challenges in its implementation,thereby providing a systematic solution for cultivating a high-level talent reserve for the international dissemination of TCM.