Neural network technologies in the practice of teaching Russian as a foreign language: didactic potential and methodological implementation

The subject of the study is the didactic possibilities of using generative neural networks (text models, image generators, and speech synthesizers) in the practice of teaching the Russian language as a foreign language, as well as the methodological conditions for their effective integration into the structure of a lesson. The author considers ways to apply neural network technologies for creating educational materials of various types (for example: adapted texts, visual aids, audio materials), developing a system of exercises and assignments, organizing classroom work for students, as well as the transformation of the professional functions of the teacher in the context of the digitization of language education. The aim of the work is to identify and systematize methodological approaches to the application of neural network technologies for creating educational materials and organizing classroom work at the B1 level (first certification level). The research methodology is based on a theoretical analysis of the scientific literature on the issue of the digitization of language education, linguodidactic modeling of the educational process using neural networks (Kandinsky 3.0, Midjourney, DeepSeek, speech synthesizers), as well as the generalization of practical experience with foreign students. The novelty of the research lies in the development and testing of an interactive methodological model that integrates the capabilities of various types of neural networks (text generative models, visual generators, and speech synthesizers) into the structure of a specific lesson built on the materials of the textbook "Road to Russia" (first level). Unlike existing works dedicated to the general description of the potential of AI in education, this study presents a step-by-step implementation of the model using the theme "Biography of A.P. Chekhov," with a detailed characterization of the pre-text, inter-text, and post-text stages, as well as the results of testing in groups of foreign students. It is substantiated that neural networks serve as a tool that expands the didactic arsenal of the teacher, allowing for the creation of authentic visual content, adapted educational texts, and audio materials, while simultaneously serving as a means of developing students' communicative and digital competencies. The conclusions justify that neural networks act as an assistant to the teacher and are a tool that expands their didactic "arsenal." Neural networks enable the creation of authentic visual content, adapted educational texts, and audio materials, and serve as a means of developing students' communicative and digital competencies.