Abstract
This article proposes an algorithm for a Decision Support System (DSS) that helps to improve the quality of education and the level of security of the Digital Educational Environment of Universities (DEEU), based on the analysis of users’ Digital Tracks (DTs). The algorithm is based on the matrix factorization of users’ DT. In contrast to known solutions, the proposed solution allows us to level the problem of developing the competency profile of students and employees, primarily in matters of acquiring Information Security (IS) skills. This will contribute to increasing the level of security of the DEEU in general. It is shown that mastering new competencies related to information security issues expands the profile not only of students, but also of university staff, and ultimately contributes to the formation of future specialists who have a proactive position in information security issues and are capable of self-organization in this subject area. The implementation of artificial intelligence methods in such DSS can be realized based on machine learning, using, for example, the matrix factorization of DTs.