UDC 004
MANAGEMENT SYSTEM FOR CONSTRUCTING INDIVIDUAL EDUCATIONAL TRAJECTORIES IN «UNIVERSITY-ENTERPRISE» SPACE
А. А. Kuzmenko, associate Professor, Department of Computer Technologies, Federal State Budgetary Ed ucational Institution of Higher Education BSTU, Deputy Editor-in-Chief, Ergodesign magazine, Bryansk, Russia; orcid.org/0000-0002-3529-7575, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V. A. Shkaberin, first Vice-Rector for Academic Affairs and Digitalization, Federal State Budgetary Educa tional Institution of Higher Education BSTU, Bryansk, Russia;
orcid.org/0000-0002-2320-1986, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V. M. Skantsev, first Vice-Rector, Federal State Budgetary Educational Institution of Higher Education BSTU, Bryansk, Russia;
orcid.org/0000-0002-1972-395Х, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
I. A. Yeremin, postgraduate student of Federal State Budgetary Educational Institution of Higher Education BSTU, Bryansk, Russia; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
E. S. Muzalevsky, assistant of the Department of Computer Science and Technology, Federal State Budget ary Educational Institution of Higher Education BSTU, Bryansk, Russia;
orcid.org/0009-0003-5037-1766, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O. V. Labuz, postgraduate student, Federal State Budgetary Educational Institution of Higher Education BSTU, Bryansk, Russia;
orcid.org/0000-0003-3633-9690, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
The article examines the problem of imbalance between the competencies of university graduates and current labor market requirements. A model for constructing individual educational trajectories in «Univer sity-Enterprise» system based on a number of formalized data analysis methods is proposed. Data pro cessing algorithms are considered in the context of educational analytics, allowing for real-time adjustment of trajectories taking into account academic performance, student preferences, and labor market trends.
Key words: : individualization of learning, learning analytics, individual learning path, learning optimiza tion, competency matrices.