Development and Application of Russian MOOC System Based on Neural Network Algorithm

Many countries list Russian as their second or third foreign language, and the demand for learning Russian is constantly increasing. People have higher requirements for intelligent information processing, automated management, and digital communication, and they are more enthusiastic about the development of the Russian Massive Open Online Course (MOOC) system. This article used neural network algorithms to study the MOOC system, which was helpful for the teaching of Russian majors. This article analyzed the performance of the Russian MOOC system through experimental design and algorithm comparison. Experimental data showed that the convolutional neural network algorithm had the highest accuracy among the four algorithms, reaching 95%. Therefore, convolutional neural network algorithms can be used to develop Russian MOOC systems.