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On the issue of educational and methodological information selection for implementing an adaptive learning management system: Algorithm of a priori authors classification

https://doi.org/10.32517/0234-0453-2025-40-2-66-78

Abstract

The article is devoted to the formation of a new approach to the classification of national educational and methodological information, which should ensure the feasibility of adaptability of electronic educational systems, within the framework of the transition of society to its information form. The need for this is due to the fact that educational and methodological information is usually formed on the basis of new scientific results obtained during the implementation of dissertation research. At the same time, the volume of scientific information is currently growing according to a law close to exponential, and thus the requirements for integrated distributed information systems (electronic library systems) that provide the educational process are sharply increasing. The justification for the relevance of the research topic and the formulation of the problem to be solved are based on a retrospective analysis of existing methods for classifying documents containing scientific information, as well as integrated distributed information systems, widely represented on the world market. The results of the analysis indicate that the existing growth of published scientific and methodological information occurs according to a law close to exponential, which leads to a decrease in the depth of the request or to a significant narrowing of the search area and obtaining information that is not relevant with a high probability, which ultimately reduces the quality of the educational process.

The result of this paper is an algorithm for the a priori classification of authors of educational and methodological information, based on the analysis of abstracts inherent in the domestic system of certification of scientific and pedagogical personnel. The result was achieved through the use of ideas from academic genealogy, set theory and discrete mathematics, graph theory.

The limitations and recommendations for the practical implementation of the approach proposed in the work are listed.

About the Authors

S. G. Grigoriev
Moscow City Pedagogical University
Russian Federation

Sergey G. Grigoriev, Corresponding Member of the RAE, Doctor of Sciences (Engineering), Professor, Professor at the Department of IT, Management and Technology, Institute of Digital Education,

Moscow.



I. M. Lerner
Akmulla Bashkir State Pedagogical University; Kazan National Research Technical University named after A. N. Tupolev-KAI
Russian Federation

Ilya M. Lerner, Doctor of Sciences (Engineering), Senior Research Fellow; Professor at the Department of Nanotechnology in Electronics, Institute of Radio Electronics, Photonics and Digital Technologies,

Ufa, The Republic of Bashkortostan;

Kazan, The Republic of Tatarstan.



A. Kh. Marinosyan
Moscow City Pedagogical University
Russian Federation

Andreas Kh. Marinosyan, Postgraduate Student at the Department of Education Informatisation, Institute of Digital Education,

Moscow.



N. K. Arutyunova
Kazan National Research Technical University named after A. N. Tupolev-KAI
Russian Federation

Natalya K. Arutyunova, Candidate of Sciences (Physics and Mathematics), Associate Professor at the Department of Applied Mathematics and Informatics, Institute for Computer Technologies and Information Protection,

Kazan, The Republic of Tatarstan.



M. A. Grigorieva
Moscow City Pedagogical University
Russian Federation

Marina A. Grigorieva, Candidate of Sciences (Education), Docent, Associate Professor at the Department of IT, Management and Technology, Institute of Digital Education,

Moscow.



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Review

For citations:


Grigoriev S.G., Lerner I.M., Marinosyan A.Kh., Arutyunova N.K., Grigorieva M.A. On the issue of educational and methodological information selection for implementing an adaptive learning management system: Algorithm of a priori authors classification. Informatics and education. 2025;40(2):66-78. (In Russ.) https://doi.org/10.32517/0234-0453-2025-40-2-66-78

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