Designing an intellectual system for the formation of scientific rankings of professors and teachers

Abstract

The rapid development of information technology and the ever-increasing flow of information, require process control without taking into account the human factor. At the same time, the organization of the management of processes without the human factor in the studying process serves to improve the quality of education. Therefore, it is important to determine the rating of professors and teachers in higher education institutions and to develop an automated system for evaluating the rating of these institutions based on the rating. In this work, the functions, models, and database structure of the system for the formation of rankings based on the scientific activity of professors and teachers and the determination of potential changes based on prediction data are developed.