title: Comparative analysis of Russian and foreign generative neural networks for personalization of learning using English language teaching as an example
abstract: Problem statement. Innovative technologies, such as generative adversarial networks (GANs), can significantly improve the quality of education and interest schoolchildren in learning foreign languages. GANs generate new content: texts, images, videos and sounds. This can increase the efficiency of the educational process, develop creative thinking, and make the learning process more personalized, which will meet modern educational trends. In Russia, support for the introduction of artificial int
journal: RUDN Journal of Informatization in Education