ARTIFICIAL INTELLIGENCE IN LANGUAGE EDUCATION: COMMUNICATIVE INTERACTION AND STUDENT ENGAGEMENT

Abstract

The article examines the role of artificial intelligence in language education, focusing on its impact on communicative interaction and student engagement. The study aims to analyze how AI-supported tools transform traditional approaches to language learning and contribute to the development of communicative practices in digitally mediated environments. The object of the research is language education in higher education institutions, while the subject is the influence of artificial intelligence on interaction and engagement in the learning process. The methodological framework includes discourse analysis, a structural-functional approach, and elements of comparative analysis. The empirical basis of the study consists of digital platforms and AI-based tools integrated within the DigiFLEd project. The results indicate that artificial intelligence enhances interaction through multimodal communication, supports student engagement via adaptive and interactive tasks, and contributes to the development of autonomous learning strategies. The study also identifies challenges related to information overload and the need for critical evaluation of AI-generated content. The scientific novelty lies in the interpretation of AI tools as elements of communicative and discursive transformation in language education. The practical significance is associated with the integration of AI technologies into teaching practice to improve learning outcomes.