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Journal Neurocomputers №4 for 2026 г.
Article in number:
Methodology of multiscene modeling of educational trajectories
Type of article: scientific article
DOI: https://doi.org/10.18127/j19998554-202604-07
UDC: 37, 005.8, 519.6(075)
Authors:

S.V. Solodov1
1 National Research Technological University «MISiS» (Moscow, Russia)

1 solodov.sv@misis.ru

Abstract:

To increase student motivation and improve career prospects, it is necessary to build predictive models of educational trajectories. For this purpose, it is advisable to use large-scale multiscene modeling and asynchronous discrete models based on the logical structure of Petri nets. These models allow mathematically formalizing educational trajectories and conducting their detailed analysis. The aim of the research is to develop a prototype of a multiscene model that allows to explore possible educational trajectories under given initial conditions. A methodology has been developed and a primary abstract model of educational trajectories has been constructed. The proposed approach to scaling and detailing the developed model makes it possible to assess the prospects of students in educational institutions in various cities and regions of Russia. Multi-scenario modeling promotes the rational use of regional resources and the adoption of sound management decisions within the education system.

Pages: 75-80
For citation

Solodov S.V. Methodology of multiscene modeling of educational trajectories // Neurocomputers. 2026. V. 28. № 4. P. 75–80. DOI: https://doi.org/10.18127/j19998554-202604-07

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Date of receipt: 26.11.2025
Approved after review: 18.12.2025
Accepted for publication: 29.06.2026