Clustering of Information and Analytical Support for Scientific Research on Designing Digital Educational Resources

- Ростока, Марина Львівна (orcid.org/0000-0002-1891-5482) (2023) Clustering of Information and Analytical Support for Scientific Research on Designing Digital Educational Resources Image of the Modern Pedagogue, 5 (212). pp. 30-37. ISSN 2522-9729

Text Rostoka ML-287165-Article Text-665320-1-10-20231001.pdf Download (435kB)

Abstract

This article presents the elements of information and analytical support of the scientific research "Designing digital educational resources" (2023–2025) of the Department of Digital Technologies and Computer Support of the V. Sukhomlynskyi State Scientific and Pedagogical Library of Ukraine, which is aimed at developing scientific and methodological principles to create new and improve existing virtual digital educational databases and knowledge bases. Using cluster analysis, the author examines the scientific achievements of Ukrainian and foreign scientists regarding the digitalization of society, science, and education. After all, clustering makes it possible to obtain current results regarding the existing acutely established problems of the research search and ensures the finding of a certain vector of analytical experiments and substantiation of the obtained conclusions. The author focuses on clusters identified in the process of information analysis as: Ukrainian and foreign experience in the development of digital environments; psychological aspects of digital transformation of society, education, and science; the impact of digital transformation on the development of higher and academic education; designing the informational, educational, and digital environment of the professional education system; application of digital technologies in science and educational practice; digital platforms and tools of digital education; open digital resources and technologies in the educational process of persons with special needs; use of digital knowledge bases in scientific research and training of scientific staff; semantic technologies and ontological modeling in the conditions of digital transformation; security of information and digital space; adaptive processes of the digital educational space; automated methods of qualitative modeling, etc. Conclusions about the expediency of clustering of information and analytical support are substantiated, which makes it possible to understand more deeply and in detail the results of scientific research obtained by researchers, to determine the value of their scientific output, and to determine the main directions and trends of research.

Item Type:	Article
Keywords:	information and analytical support; cluster analysis; digital transformation; digital tools; digital educational resources, digital technologies; design of digital knowledge bases
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 001 Science and knowledge in general. Organization of intellectual work > 001.8 Methodology > 001.89 Organization of science and scientific work Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 303 Methods of the social sciences Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions:	V. Sukhomlynskyi State Scientific and Pedagogical Library of Ukraine > Department of Digital Technologies and Computer Support
Depositing User:	PhD,с.д. Марина Львівна Ростока
Date Deposited:	09 Oct 2023 12:16
Last Modified:	07 Jan 2024 18:06
URI:	https://lib.iitta.gov.ua/id/eprint/736867

Downloads

Actions (login required)

View Item