Article

DEVELOPING AND VALIDATING AN AI-DRIVEN ADAPTIVE LEARNING SYSTEM FOR MEDICAL TERMINOLOGY ACQUISITION AND RETENTION IN A NON-ENGLISH SPEAKING MEDICAL UNIVERSITY CONTEXT

F. S. SharipovaTashkent State Medical University

Zenodo (CERN European Organization for Nuclear Research)repository2026en

ABI

Abstract

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.

Topics

Second Language Acquisition and Learning Text Readability and Simplification Medical and Biological Sciences

Identifiers

DOI: 10.5281/zenodo.19676745

Citations and references

Cited by 00 references

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