Applying a Recurrent Neural Network to Implement a Self-organizing Electronic Educational Course

This article discusses the features of the implementation of a self-organizing electronic educational course as an innovative form of learning. A recurrent neural network was used to implement the self-organizing e-course. A recurrent neural network has the ability to remember previous data and use it to make decisions in the current iteration. This feature allows to take into account the current level of student knowledge and based on it provide test questions. The practical part of the study presents the results of testing the self-organizing electronic course created using recurrent neural network on a group of students. The results confirm the increase of learning efficiency and improvement of students’ results #COMESYSO1120.