Abstract
This article examines the model of the transition of the educational system to a higher level of education for the acquisition of appropriate competencies by students. This work was carried out in accordance with the new Russian state educational standards of generation 3++. As a basic formalism, a model of the dynamics of competence growth obtained using cognitive modeling is considered. The methodology of modeling the process of increasing the student's competencies over time is proposed. It is proposed to use an integral indicator of the level of the educational system in the form of the sum of competencies accumulated by the student at a certain moment in accordance with the requirements of the educational standard and taking into account their expert-defined weights. For this purpose, cognitive maps have been developed that describe the relationships between the parameters of the system. The factors included in the cognitive map are divided into controlling and controlled. The acquisition of competencies is a dynamic process, so it is presented in the form of a discrete-time equation. The dynamics of managing the growth of competencies in the educational system as the learning time changes is considered. The use of cognitive maps allows us to assess the relationship between the most important factors of the process, to build a dynamic model of the management system that allows us to solve both the tasks of stabilizing the level of the educational system and the tasks of its transition to a new, higher level.
Copyright information
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
About this article
Publication Date
27 February 2023
Article Doi
eBook ISBN
978-1-80296-960-3
Publisher
European Publisher
Volume
1
Print ISBN (optional)
-
Edition Number
1st Edition
Pages
1-403
Subjects
Hybrid methods, modeling and optimization, complex systems, mathematical models, data mining, computational intelligence
Cite this article as:
Moskaleva, S. S., & Shkaberina, G. S. (2023). Cognitive Modeling of Learning Process. In P. Stanimorovic, A. A. Stupina, E. Semenkin, & I. V. Kovalev (Eds.), Hybrid Methods of Modeling and Optimization in Complex Systems, vol 1. European Proceedings of Computers and Technology (pp. 140-151). European Publisher. https://doi.org/10.15405/epct.23021.18