THEORETICAL AND METHODOLOGICAL FOUNDATIONS OF USING ARTIFICIAL INTELLIGENCE IN TEACHING ENGLISH IN HIGHER EDUCATION

This article explores the theoretical and methodological foundations of using artificial intelligence (AI) technologies in teaching English in higher education institutions. The study analyzes the role of artificial intelligence in improving language learning processes, enhancing students’ communicative competence, and supporting personalized instruction. Particular attention is paid to modern AI-based educational tools, including intelligent tutoring systems, automated assessment platforms, adaptive learning environments, and generative AI technologies. The paper examines international experiences and current tendencies in integrating AI into English language education. The research also identifies methodological challenges associated with technology implementation, including ethical concerns, digital literacy limitations, and dependency risks. Based on the findings, practical recommendations are proposed for effective integration of AI technologies into English language teaching methodology. The study concludes that artificial intelligence has significant potential to transform language education and increase the effectiveness of English instruction in higher education.