BRIDGING THE LANGUAGE BARRIER: AI-DRIVEN ADAPTIVE LEARNING FOR MEDICAL STUDENTS

This study examines the development and implementation of an AI-driven adaptive learning system designed to enhance medical terminology acquisition among students in non-English speaking academic settings. By integrating machine learning and natural language processing (NLP) into English for Medical Purposes (EMP) curricula, the research evaluates the system's impact on vocabulary retention, communicative competence, and personalized educational trajectories.