DIFFERENTIAL APPROACH TO TEACHING ENGLISH THROUGH ADAPTIVE LEARNING MODELS

This article explores the importance of adaptive learning models and the differential approach in teaching English as a Foreign Language (EFL) within the context of modern education. As digital technology and artificial intelligence (AI) become more common in education, there are new ways to make learning more personal and flexible. The study examines how AI-powered adaptive tools and varied teaching strategies affect students’ academic results, engagement, and language learning. This research builds on ideas from learner-centered education, adaptive learning, and differentiated instruction. AI tools can look at student data, find each person’s strengths and weaknesses, and change lessons, tasks, and pace to fit their needs. This helps teachers move past the usual one-size-fits-all method and create learning paths that suit different students and skill levels. The article also highlights practical applications of adaptive learning technologies in EFL classrooms, including digital platforms and AI-supported feedback systems that provide real-time assessment and personalized recommendations. The findings indicate that the integration of adaptive learning models enhances student motivation, supports more effective language practice, and contributes to improved learning outcomes. Overall, adaptive learning represents a promising direction for the development of modern, student-centered EFL education.

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