ARTIFICIAL INTELLIGENCE-DRIVEN MOBILE-ASSISTED LANGUAGE LEARNING: DEVELOPING A PERSONALIZED LEARNING MODEL FOR UZBEK EFL STUDENTS

This article examines the integration of artificial intelligence (AI) and Mobile-Assisted Language Learning (MALL) in English language education. It aims to develop a personalized learning model for Uzbek students studying English as a Foreign Language (EFL). The study analyses the pedagogical foundations of AI-supported mobile learning, learner autonomy, adaptive instruction, and intelligent feedback. A five-component conceptual model is proposed, incorporating learner profiling, personalized content delivery, AI-supported language practice, continuous assessment, and adaptive feedback.