PERSONALIZED LEARNING IN ENGLISH LANGUAGE TEACHING THROUGH ARTIFICIAL INTELLIGENCE

Abstract

Personalized learning has emerged as a strategic priority in contemporary education, particularly in English Language Teaching (ELT), where learners demonstrate diverse linguistic abilities, cognitive styles, and motivational levels. The integration of Artificial Intelligence (AI) into ELT enables the systematic personalization of learning content, instructional pace, feedback mechanisms, and assessment procedures based on individual learner data. This article investigates the theoretical foundations, pedagogical implications, and practical applications of AI-driven personalized learning in ELT. Drawing on international research and contextual educational practices, the study analyzes how adaptive learning systems, intelligent tutoring platforms, AI-powered chatbots, and learning analytics contribute to learner autonomy, engagement, and sustainable language development. Furthermore, the article critically examines ethical considerations, data privacy issues, and the evolving role of teachers in AI-supported learning environments. The findings indicate that AI-based personalized learning, when aligned with pedagogical objectives and national educational priorities, can significantly enhance the quality, equity, and effectiveness of English language education, making it a valuable approach for academic excellence and educational innovation.