ARTIFICIAL INTELLIGENCE AS A TOOL FOR PERSONALIZED ENGLISH LANGUAGE LEARNING

Abstract

Traditional language education classrooms often struggle to accommodate the diverse learning paces, styles, and proficiency levels of individual students. This research paper explores the role of Artificial Intelligence (AI) as a transformative mechanism for personalized English language learning in higher education. By analyzing various AI-driven educational applications, intelligent tutoring systems (ITS), and adaptive learning platforms, this study examines how technology customizes linguistic input, provides real-time corrective feedback, and establishes individualized learning pathways. Utilizing a mixed-methods approach, the study surveys 120 undergraduate students to measure their engagement and perceived language acquisition progress when utilizing AI tools. The findings demonstrate that AI significantly enhances learner autonomy and vocabulary retention by adapting to the student's unique Zone of Proximal Development (ZPD). However, the paper also addresses critical limitations, including the lack of socio-cultural nuance in AI communication and the risk of reduced authentic interpersonal interaction. The study concludes with practical recommendations for integrating adaptive AI platforms into university EFL curricula to foster an optimized, student-centered learning environment.