THE ROLE OF ARTIFICIAL INTELLIGENCE AND NEURAL NETWORK TECHNOLOGIES IN DEVELOPING THE COMMUNICATIVE COMPETENCE OF UNIVERSITY STUDENTS IN THE CONTEXT OF DIGITAL TRANSFORMATION

Abstract

This article examines the transformative impact of Artificial Intelligence (AI) and neural network technologies on the development of communicative competence among university students. In the era of digital transformation, traditional pedagogical models are being augmented by intelligent tutoring systems, large language models (LLMs), and adaptive learning platforms. This research explores how these technologies facilitate personalized feedback, simulate real-world linguistic interactions, and lower affective filters in language acquisition and professional communication. Through a mixed-methods approach, the study evaluates the efficacy of AI-driven tools in enhancing sociolinguistic, strategic, and discourse competencies. Preliminary findings suggest that while AI significantly accelerates the acquisition of technical communication skills and provides a safe environment for iterative practice, it also necessitates a shift in the conceptualization of digital literacy. The paper argues for a balanced integration of AI that preserves the human-centric nature of communication while leveraging computational power for linguistic precision and cultural simulation.