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Development of a system for adaptive control of the components of an intelligent educational environment

https://doi.org/10.32517/0234-0453-2021-36-4-26-35

Abstract

The article discusses the issues of creating software and tools for managing the processes of training specialists in an intellectual educational environment. The complex of tools is being developed as part of a hyper-converged computing ecosystem to support open personalized learning technologies and is designed to customize and adaptively update educational programs and content, taking into account the requirements of federal standards and regional labor markets. At the first stage, the tools solve the problems of searching, collecting, consolidating and intelligent analysis of requirements for specialists extracted from open sources on the Internet, such as sections with employers’ vacancies on the websites of enterprises, recruitment agencies, labor exchanges, message boards, forums, chats, groups of social networks and messengers. At the next stage, the process of adaptive adjustment and synchronization of educational programs is implemented, taking into account the consolidated information and predicted data on the required competencies in the short and medium term in a given region. Setting up the educational process in an open information environment occurs during the evolutionary transition to a convergent learning model, continuous updating of educational programs and content, personalization of training trajectories. The convergent model determines the convergence of educational programs and content for different specialties in accordance with the digitalization processes of all spheres of human life, which is reflected in the requirements for competencies in professional and educational standards, as well as on the part of employers. The processes of actualization and personalization make it possible to increase the efficiency and quality of training specialists by reducing the risks of obtaining a low-quality and morally obsolete education. The architecture of the adaptive management system of the educational environment includes the following components: a) Learning Management System (LMS), b) Education Content Management System (ECMS), c) Learning Activity Management System (LAMS), d) tools for searching, collecting and analyzing employers’ requirements, e) cloud storage of educational content.

About the Authors

M. V. Deev
Penza State University
Russian Federation

Mikhail V. Deev, Candidate of Sciences (Engineering), Deputy Head of the Department of Programming and Administration of Educational Resources, Center for Multimedia Technologies and Online Learning.

440026, Penza, ul. Krasnaya, 40



L. A. Gamidullaeva
Penza State University
Russian Federation

Lejla A. Gamidullaeva, Doctor of Sciences (Economy), Docent, Professor at the Department “Management and Economic Security”, Institute of Economics and Administration.

440026, Penza, ul. Krasnaya, 40



A. G. Finogeev
Penza State University
Russian Federation

Alexey G. Finogeev, Doctor of Sciences (Engineering), Professor, Professor at the Department of Computer Automated Design Systems, Faculty of Computer Engineering.

440026, Penza, ul. Krasnaya, 40



A. A. Finogeev
Penza State University
Russian Federation

Anton A. Finogeev, Candidate of Sciences (Engineering), Assistant Professor at the Department of Computer Automated Design Systems, Faculty of Computer Engineering.

440026, Penza, ul. Krasnaya, 40



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Review

For citations:


Deev M.V., Gamidullaeva L.A., Finogeev A.G., Finogeev A.A. Development of a system for adaptive control of the components of an intelligent educational environment. Informatics and education. 2021;(4):26-35. (In Russ.) https://doi.org/10.32517/0234-0453-2021-36-4-26-35

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ISSN 0234-0453 (Print)
ISSN 2658-7769 (Online)