Application of the clustering algorithm in an automated training system

The development of information technologies provides a new, unique opportunity to conduct classes with the introduction of automated training systems for disciplines, which allows the student to choose the time and place for training, makes it possible to use new information technologies in training, and to a certain extent reduces training costs. The problem of improving the quality of the educational process in an educational institution is being solved because of the use of automated systems. This task is the main one in the activities of each educational institution. The development of a high-quality system will provide an increase in the student's knowledge in the chosen field, and help to form an up-to-date curriculum for training. The purpose of this work is to create an automated training system using the clustering and content ranking algorithm, which can improve the quality of the student's educational process.