A METHODOLOGY FOR DEVELOPING LEXICAL COMPETENCE FOR NON-PHILOLOGICAL STUDENTS USING ARTIFICIAL INTELLIGENCE

Abstract

This study investigates a methodology for developing lexical competence among non-philological students through the use of artificial intelligence (AI) tools. Lexical competence, which encompasses vocabulary knowledge, contextual usage, and communicative adaptability, is crucial for effective professional and academic communication. Traditional language instruction methods often fail to provide personalized and interactive learning experiences, particularly for students outside the field of linguistics. AI technologies, including adaptive learning platforms, intelligent tutoring systems, and natural language processing applications, offer tailored exercises, immediate feedback, and contextually rich practice that enhance both receptive and productive vocabulary skills. The study reviews existing literature, analyzes AI-based interventions, and discusses pedagogical strategies for integrating technology into vocabulary instruction. The findings indicate that AI not only facilitates individual learning pathways but also promotes learner autonomy, motivation, and engagement. Recommendations include aligning AI exercises with discipline-specific needs, combining automated and reflective learning activities, and monitoring learner progress for effective lexical development. Overall, AI represents a promising avenue for advancing lexical competence and preparing non-philological students for meaningful communication in diverse professional contexts.