ARTIFICIAL INTELLIGENCE LEARNING MODEL FOR THE DEVELOPMENT OF STUDENTS’ FOREIGN LANGUAGE COMMUNICATIVE COMPETENCE

Abstract

The article deals with the issues of developing foreign language communicative competence in the modern context of using artificial intelligence (AI). Globally, there is a steady increase in demand for engineers capable of mastering advanced technologies, mainly presented in English, and participating in international projects using digital platforms. The review of the existing literature has shown the lack of a coherent framework that integrates the potential of artificial intelligence into the process of developing foreign language communicative competence. Having studied practical experience, a request was identified from both educators and learners for effective learning models that combine AI capabilities with the development of foreign language communicative competence within a professional context. Thus, there is a need to develop a model for the formation of foreign-language communicative competence by means of AI that meets the challenges and requirements of professional communication. The article aims to develop and test The Integrated Adaptive Communicative (IAC) Model for the formation of students’ foreign language communicative competence using AI. The study employed theoretical (integrative literature review, modeling) and empirical (pedagogical experiment, descriptive statistics) methods. The experiment involved 51 first-year bachelors, future engineers from the Polytechnic Institute of the South Ural State University. The novelty of the research lies in the creation of an IAC Model for the formation of foreign language communicative competence by means of AI, which makes a significant contribution to the development of professional education. The effectiveness of the developed technology was demonstrated based on the improvement of foreign language proficiency according to the European CEFR scale.