Integration of Artificial Intelligence in the Bilingual Teaching and Learning Process: Innovative Approaches and Perspectives

This research investigates the paradigm shift in bilingual education necessitated by the integration of Artificial Intelligence (AI). Focusing on the "1+4" preparatory program at the Georgian Technical University, the study explores how AI-driven adaptive platforms can bridge the gap between linguistic theory and cultural immersion. The paper introduces the AI-Integrated Dynamic Bilingual Framework (AIDBF), a model that utilizes neural machine translation, phonetic analysis, and automated progress analytics to foster a balanced bilingual environment. By synthesizing qualitative case studies and longitudinal observations, the research argues that while AI significantly enhances the efficiency of "linguocountryology," the human educator remains indispensable for navigating the pragmatic nuances of intonation and historical subtext. The study concludes that the future of bilingualism lies in a symbiotic relationship between algorithmic precision and human cultural intuition.