Application of Artificial Intelligence in English Language Teaching in Inclusive Classrooms: A Mixed-Methods Study

Abstract

This study examines the use of artificial intelligence technologies in teaching English within an inclusive educational environment and reveals their methodological potential to support learners with diverse educational needs. The relevance of the research is determined by the increasing demand for effective pedagogical strategies that ensure equal access to quality language education, particularly in Kazakhstan, where digital transformation in education is actively developing. The purpose of the study is to evaluate the effectiveness of artificial intelligence tools in enhancing foreign language acquisition in inclusive classrooms. The research focuses on key areas such as personalization, adaptive learning, and differentiated instruction. The scientific and practical significance lies in identifying innovative approaches that improve accessibility and quality of education. The methodology is based on a mixed-methods approach, including a survey of foreign language teachers and analysis of practical experience in implementing AI-based tools. The results show that artificial intelligence increases student motivation, supports individualized learning, and reduces learning barriers. The findings confirm that AI facilitates adaptive instruction and improves learning outcomes. The value of the study lies in its contribution to inclusive language teaching methodology.