METHODOLOGICAL PRINCIPLES OF FORMATION OF CLOUD-ORIENTED SYSTEMS OF OPEN SCIENCE IN INSTITUTIONS OF HIGHER PEDAGOGICAL EDUCATION
PDF (Ukrainian)

Keywords

cloud computing
cloud-based learning environment
cloud services
open science
open data
open access
flexibility of the educational process

How to Cite

[1]
M. V. Marienko, M. P. Shyshkina, and O. A. Konoval, “METHODOLOGICAL PRINCIPLES OF FORMATION OF CLOUD-ORIENTED SYSTEMS OF OPEN SCIENCE IN INSTITUTIONS OF HIGHER PEDAGOGICAL EDUCATION”, ITLT, vol. 89, no. 3, pp. 209–232, Jun. 2022, doi: 10.33407/itlt.v89i3.4981.

Abstract

The paper investigates the substantiation and development of methodology for using cloud-based open science systems in pedagogical education institutions as one of the promising areas for improving the quality of educational and scientific process, modernization of educational and scientific environment, use of cloud computing tools and services. It is emphasized that the introduction of cloud computing is a current trend in the development of modern pedagogical systems of ICT. The conceptual and terminological apparatus of research of cloud-oriented systems of open science is outlined, in particular, the ways of introduction into scientific circulation and educational-scientific process of such concepts as open science, open data, SMART-data, FAIR-data and others are outlined. The general principles of formation of cloud-oriented systems of open science in educational institutions are clarified, which are classified as principles of open science and general principles that are put forward to the formation of cloud-oriented systems. Criteria and indicators for measuring the competencies of open science are determined. It was found that the competencies of open science should be formed in the process of professional development of teachers. The forms, methods and means of professional development of teachers to use cloud-oriented systems of open science and their components in their educational and professional activities are determined. The main idea is the hypothesis that the design and development of educational and scientific environment through the proposed approach will lead to better access to electronic educational resources and increase the efficiency of ICT, as well as increase competencies in open science participants in the educational process. The results of the pedagogical experiment are given, which confirm the increase of the level of competences of open science due to the use of cloud-oriented methodical system of teacher training in natural and mathematical subjects. Recommendations for the introduction of open science systems in the educational process are substantiated. The analysis and estimation of prospects of development of researches of cloud-oriented systems of open science in educational institutions is carried out.

PDF (Ukrainian)

References

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REFERENCES (TRANSLATED AND TRANSLITERATED)

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M. V. Marienko, “Tools and Services of the Cloud-Based Systems of Open Science Formation in the Process of Teachers’ Training and Professional Development”, Lecture Notes in Business Information Processing book series (LNBIP), Vol. 429, pp. 108-120. doi: 10.1007/978-3-030-85893-3_8. (in English)

V. Bykov, and M. Shyshkina, “Theoretical and Methodological Principles of the Formation of the Cloud-Based Environment of a Higher Educational Institution”, The theory and practice of social systems management, No. 2, pp. 30-52, 2016. (in English)

O. Lavrentieva, R. Horbatiuk, L. Skripnik, O. Kuchma, V. Penia, and M. Pahuta, “Theoretical and methodological bases of designing the educational institution information and consulting environment”, Journal of Physics: Conference Series, vol. 1840, No. 1, 2021, pp. 012060. (in English)

O. Kuzminska, M. Mazorchuk, N. Morze and O. Kobylin, “Attitude to the Digital Learning Environment in Ukrainian Universities”, CEUR Workshop Proceedings, vol. 2393, 2019, pp. 53-67. (in English)

O. Spirin, V. Oleksiuk, N. Balyk, S. Lytvynova, S. Sydorenko, “The Blended Methodology of Learning Computer Networks: Cloud-based Approach”, in Proceedings of the 15th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, vol. 2393, 2019, pp. 68-80, [Online]. Available: http://ceur-ws.org/Vol-2393/paper_231.pdf. Accessed on: May 24, 2022. (in English)

S. Lytvynova, “Model of cloud oriented learning environment (COLE) of comprehensive educational establishments (CEE) teacher”, Journal of Information Technologies in Education (ITE), vol. 20, 2014, pp. 117-127. doi: 10.14308/ite000502. (in English)

I. Ivaniuk, O. Ovcharuk, “The response of Ukrainian teachers to СOVID-19: challenges and needs in the use of digital tools for distance learning”, Information Technologies and Learning Tools, vol. 3 (77), 2020, [Online]. Available: https://journal.iitta.gov.ua/index.php/itlt/article/view/3952/1661. Accessed on: May 24, 2022. (in English)

A. Offerman, “500,000 data scientists needed in European open research data”, 2016. [Online]. Available: https://joinup.ec.europa.eu/community/opengov/news/500000-data-scientists-needed-european-open-research-data. Accessed on: May 24, 2022. (in English)

European Commission. “Communication on the European Research Area: Progress Report 2014 (575 Final)”. European Commission, Brussels. 2014. (in English)

“Doctoral Training Principles”. [Online]. Available: https://euraxess.ec.europa.eu/belgium/jobs-funding/doctoral-training-principles. Accessed on: May 24, 2022. (in English)

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