Using neural networks to generate training course

Abstract

The article discusses the use of neural network technologies for the automated creation of educational materials, such as texts, tasks, tests and interactive exercises adapted to specific learning objectives and the level of students' preparation. The study is aimed at developing and analyzing algorithms for generating educational content, which can significantly reduce the time for preparing materials and increase their individualization. Particular attention is paid to assessing the quality of the generated materials, their adaptability to various educational scenarios and comparison with traditional methods of creating educational resources. The results demonstrate the potential of neural network technologies in improving the educational process, and also open up prospects for further research in the field of personalized learning and the integration of artificial intelligence into educational practice.