INTELLIGENT TECHNOLOGIES IN PERSONALIZED FOREIGN LANGUAGE LEARNING OF FUTURE IT SPECIALISTS

Abstract

The article examines the current possibilities of using artificial intelligence (AI) tools to implement personalized English language learning in higher education, with a focus on IT students. The authors explore the theoretical foundations of personalization, identify its key principles and approaches, and describe modern AI tools used to adapt the learning process to the individual needs of students in technical disciplines. In particular, the role of intelligent language models, adaptive testing systems, interactive platforms, and chatbots in creating personalized educational trajectories is analyzed. The article discusses the advantages of AI-assisted personalized learning, including increased motivation among IT students, development of learner autonomy, optimization of study time, and the ability to work at an individual pace. At the same time, the authors highlight the main limitations and risks associated with excessive technologization, ethical aspects of data usage, and the level of digital competence of instructors. Special attention is given to the pedagogical conditions for the effective implementation of AI in the learning process, including the integration of personalized and communicative methods, development of teachers’ digital competencies, and adherence to ethical standards. It is shown that the use of AI in English language learning allows for the creation of adaptive educational trajectories, enhances student engagement, and contributes to improved learning outcomes. The article also outlines prospects for further research in the field of digital transformation in language education, including empirical evaluation of the effectiveness of specific AI platforms and models, as well as the optimization of combining technology with traditional teaching methods.