Kokand University Research Base

ARTIFICIAL INTELLIGENCE (AI)-BASED MOBILE LEARNING IN ELT FOR EFL LEARNERS: THE IMPLEMENTATION AND LEARNERS' ATTITUDES

Dilyorjon Solidjonov

Student of Kokand University

Keywords: Artificial Intelligence, Mobile Learning, English Language Teaching, EFL Learners, Adaptive Learning, Personalized Instruction, Learner Attitudes, Technological Challenges, Ethical Considerations.

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Abstract

This article explores the integration of Artificial Intelligence (AI) into mobile learning environments for English Language Teaching (ELT) among English as a Foreign Language (EFL) learners. The theoretical foundations, practical implementations, and empirical findings regarding AI-based mobile learning in ELT are examined. Learners' attitudes towards these platforms are analyzed, considering socio-cultural, contextual, and individual factors. Challenges such as technical issues, data privacy, and ethical considerations are addressed. Despite challenges, AI-driven mobile learning shows promise in personalizing instruction, fostering adaptive learning pathways, and enhancing language acquisition experiences. Future research should focus on innovative pedagogical models, longitudinal studies, and interdisciplinary collaborations to maximize the potential of AI in ELT.

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