Artificial Intelligence-driven Mobile-assisted Language Learning: Developing a Personalized Learning Model for Uzbek Efl Students
Year: 2026
Type: article
Abstract: 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.
Source: HSR (London)
Author: Murodov Farrukh
Language: English
Topic: Mobile Learning in Education
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7225845278
FWCI:
Cites:
Cited by:
Related to: