Region - Educational Research and Reviews

With the rapid advancement of artificial intelligence technology, its application in foreign language education has become increasingly widespread and profound. This study analyses literature related to artificial intelligence/AI and Russian language teaching based on search data from China National Knowledge Infrastructure (CNKI), outlining the current research status and practical applications of AI technology in Russian language instruction. The article first examines the theoretical foundations underpinning AI-enhanced Russian language instruction, including generative learning theory, embodied cognition theory, and the intercultural communicative competence model. Subsequently, it elaborates on specific application scenarios and empirical outcomes of AI technology across four dimensions: vocabulary and grammar instruction, translation competence development, innovative curriculum models, and the construction of intelligent teaching environments. Finally, it summarises existing research challenges such as algorithmic bias, insufficient digital literacy among teachers and learners, and ethical risks. It also outlines future research directions, including enhancing cultural databases, expanding practical training scenarios, and establishing an ecosystem for cultivating multi-skilled talent. This paper aims to provide reference for future research and practice, promoting the deep integration of AI technology with Russian language teaching.