Explores AI integration for enhancing vocabulary retention in non-English speaking medical students, indicating potential for improved learning outcomes.
This study explores the development of an AI-driven adaptive learning system for improving medical terminology acquisition among medical students in non-English speaking environments. The research proposes integrating machine learning and natural language processing tools into EMP curricula and evaluates their effectiveness in enhancing vocabulary retention, communicative competence, and personalized learning outcomes.
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F. S. Sharipova (2026) studied this question.
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