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Developing and Validating an Ai-driven Adaptive Learning System for Medical Terminology Acquisition and Retention in a Non-english Speaking Medical University Context

Year: 2026

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19676744

Author: Sharipova, Feruza

Institution: Tashkent State Medical University

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W7155035512

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