Artificial intelligence technologies in teaching and learning foreign languages: linguodidactic approach

Abstract

This study examines the linguodidactic potential of AI technologies in teaching and learning Russian as a foreign language (RFL) focusing on their theoretical foundations, practical applications, and pedagogical implications. The research employs a systematic approach, integrating the PRISMA methodology for literature review, theoretical analysis, and empirical methods. From the linguodidactic point of view the authors have identified, analyzed, and described the following AI-based tools and technologies: adaptive learning and personalized learning materials, machine translation tools, text writing AI assistants, chatbots, AI-based software platforms and applications for language learning, intelligent learning systems, intelligent virtual reality. Finally, they come to the conclusion that these AI technologies enhance RFL teaching by enabling personalized, adaptive, and immersive learning. However, the successful integration of these technologies requires educators to develop AI literacy and critically assess ethical and practical challenges. AI’s role in sustaining Russian as a global language is pivotal, particularly in non-native environments.