- Ростока, Марина Львівна (orcid.org/0000-0002-1891-5482) (2025) Adaptive Information and Analytical Support for the Design of Knowledge Bases for Digital Educational Resources Адаптивне управління: теорія і практика. Серія Педагогіка, 21 (41). ISSN 2707-0255
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Abstract
The article analyses the state of information and analytical support for the design of digital educational resource collections and identifies the main aspects of the development of this issue. Primary sources and historiographical content on the issues of digitisation and digital transformation of education have been studied. Attention is focused on a number of scientific works whose authors clarify, explain and define the thesaurus context of designing, creating and using digital educational resources, as well as forming their subject collections. Information technologies are considered as a tool for designing knowledge bases of digital educational resources. The essence of the adaptive influence of information and analytical support for the design of these resources is revealed. It has been established that adaptive management of processes related to information support for educators' pedagogical activities, in particular the development and practical implementation of digital educational resources, is one of the main areas requiring thorough research, including analytical research. The current and main results of the summarising stage of scientific research on the topic ‘Designing knowledge bases for digital educational resources’ (2023–2025), carried out by the Department of Digital Technologies and Computer Equipment of the V. Sukhomlynskyi State Scientific and Educational Library, are highlighted. Certain aspects of ensuring their impact on the development of information and analytical support for education, pedagogy and psychology are presented. It is concluded that the adaptive influence of information support for the design of collections of digital educational resources makes it possible to bring large volumes of digital educational resources into a single socio-pedagogical system, forming an adaptive eco-environment of a specific knowledge base for certain subject clusters. This article is informational and analytical in nature.
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