Proceedings of the International scientific and practical conference “Science, Technology and Culture: Strategies for Sustainable Development” (December 15-17, 2025) / Publisher website: www.naukainfo.com. – Krakow, Poland, 2025. – 120 p.

72 PEDAGOGY AND EDUCATION UDC 378.147:81’243:004.8 Chernii Liudmyla Candidate of Pedagogical Sciences Meleshchenko Vira Candidate of Philological Sciences, Associate Professor of the Foreign Language Department, Ternopil V. Hnatiuk National Pedagogical University, Ternopil, Ukraine GENERATIVE AI IN LINGUODIDACTICS: TRANSFORMING FOREIGN LANGUAGE LEARNING THROUGH LARGE LANGUAGE MODELS Abstract. This article explores the transformative impact of Generative AI and Large Language Models on Language Teaching. It identifies a paradigm shift from Computer-Assisted Language Learning to AI-based Language Learning, driven by AI's ability to generate authentic content. It considers the architectural basis of Large Language Models (Transformer), opportunities for deep personalization, and a radical breakthrough in the development of productive competencies (speaking, writing). Keywords: Generative AI, LLM, AILL, CALL, language teaching. The process of technological support for foreign language (FL) learning has undergone significant evolution, beginning with the Computer-Assisted Language Learning (CALL) approach. Early CALL systems were based on fixed algorithms that created an artificial learning environment, as they could not generate authentic and spontaneous content.