Artificial intelligence application technologies in the methodology of teaching russian as a foreign language

The article is a list and analysis of the methods of applying artificial intelligence in the system of teaching Russian to foreigners in such aspects as speaking, reading, writing and listening. The relevance of the article is determined by two factors: the steady expansion of the areas of AI use, including the educational process, as well as the functional adaptability of neural networks in the aspect of studying a foreign language. The purpose of the article is to describe AI programs suitable for the pedagogical process, the strengths and weaknesses of their application. To achieve the research result, such methods as content analysis, discourse and correlation analysis, as well as an empirical approach and modeling were implemented. As a result, the authors come to the conclusion about the effectiveness of the practice of using neural networks in teaching Russian as a foreign language, especially in groups where the language level is B1 and above. A distinctive feature of the study is the great attention paid to the independent work of students, the formation of correct skills for using neural networks in the educational process, ways to increase motivation for learning through AI, including through the use of non-text data processing programs. The authors pay special attention to ChatGPT 3.5 as the most popular neural network among students, due to its relevant content, ease of use and affordability. The article provides examples of texts created by this program, their detailed linguistic analysis is carried out in the context of pedagogical practice; the algorithm for using ChatGPT 3.5 in the process of preparing a monologue, retelling and summarizing a text, and communicating in official and unofficial registers of communication is described in detail. In addition to this program, Duolingo, Learn Russian, Memrise, SONIX and Google Cloud Speech-to-Text are also considered, which are most useful in training such aspects of Russian as a foreign language as listening, phonetics and grammar. In conclusion, the authors point to the prospects for the development of methods for teaching Russian as a foreign language based on AI, primarily in the context of working with Russian vocabulary.

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