Abstract
Education in the modern world is an integral part of the formation of a personality, therefore, it is given special attention. Digital development in the field of higher education requires automation of many university processes, and in order to improve the quality of training specialists and ensure the objectivity of evaluating their achievements, universities are introducing a rating system. The main objectives of such systems are to increase the motivation of students and encourage them to work independently. This paper presents a rating system based on such aspects of student activity as educational, scientific, social, cultural, creative, and sports. The paper uses intellectual analysis of student achievements using the taxonomy of the subject area and machine learning methods. An intelligent system for analyzing student achievements has been developed.
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