METHODOLOGICAL BASIS OF DESIGN OF THE CLOUD-BASED LEARNING AND RESEARCH ENVIRONMENT OF A HIGHER EDUCATION INSTITUTION
DOI:
https://doi.org/10.14308/ite000706Keywords:
cloud services, cloud-based environment, design, institutions of higher education, open education, researchAbstract
The feasibility of using and implementing of the cloud data processing services into the educational process of a higher education institution in order to support educational and scientific activities is substantiated. The results of the analysis of modern psychological and pedagogical researches testify to a steady movement towards the search of new ways of creating and using educational software based on the concept of cloud computing, which significantly changes the means and approaches to the organization of pedagogical activity. The essence of the problem of formation and development of the cloud oriented learning and research environment of higher education institution is analyzed; the basic conceptual and terminological apparatus of the research is specified. It has been determined that in the cloud-oriented environment of a higher education institution, the computer processing activities of participants of educational processes are supported by cloud computing technology, which implies flexible use of a virtual hybrid or only public or corporate ICT infrastructure. The stages of designing a cloud-oriented environment are distinguished, among which there are the stages of pilot design and widespread implementation. The first stage involves the creation and experimental testing of a prototype of the environment. The second stage of design consists in the widespread implementation of the results of the pilot test, at this stage the basic regularities, characteristics and properties revealed in the first stage must be considered and summarized. Both stages have their components, in particular - target, structural-functional, resource, resulting. It is substantiated that in the process of designing it is advisable to rely on the developed system of models of formation and development of the cloud-oriented learning and research environment: the models of educational and scientific components; the general model of its formation and development, the model of grouping of components; the hybrid service model for organizing access to software. The content of a hybrid cloud-based service model encompasses electronic educational and research resources. The cloud-based component grouping model contains different types of services, among which it is advisable to distinguish the following main groups: generalpurpose services; communication services; specialized educational and research services. The results of the pilot design of a cloud-oriented educational and research environment of a higher education institution, carried out on the basis of joint research laboratories of the Institute of Information Technologies and Learning Tools of the National Academy of Educational Sciences of Ukraine and a number of higher education institutions are generalized.
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2. Биков, В. Ю. & Лапінський, В. В. (2012). Методологічні та методичні основи створення і використовування електронних засобів навчального призначення. Комп’ютер у школі та сім’ї, 2 (98), 3–6. Відновлено з http://nbuv.gov.ua/UJRN/komp_2012_2_2.
3. Биков, В. Ю. (2013). Мобільний простір і мобільно орієнтоване середовище інтернеткористувача: особливості модельного подання та освітнього застосування. Інформаційні технології в освіті, 17, 9–37. Відновлено з http://ite.kspu.edu/issue-17/p-9-37.
4. Биков, В. Ю. (2009). Моделі організаційних систем відкритої освіти. Київ: Атіка.
5. Биков, В. Ю. (2011). Хмарні технології, ІКТ-аутсорсинг і нові функції ІКТ підрозділів освітніх і наукових установ. Інформаційні технології в освіті, 10, 8-23. Відновлено з http://ite.kspu.edu/issue-10/p-8-23.
6. Шишкіна, М. П. (2015). Формування і розвиток хмаро орієнтованого освітньо-наукового середовища вищого навчального закладу: монографія. Київ: УкрІНТЕІ.
7. Bykov, V. & Shyshkina, M. (2018). The Conceptual Basis of the University Cloud-based Learning and Research Environment Formation and Development in View of the Open Science Priorities. Information Technologies and Learning Tools, 6 (68). Retrieved from https://journal.iitta.gov.ua/index.php/itlt/article/view/2609/1409.
8. Bykov, V. & Shyshkina, M. (2014). Emerging technologies for personnel training for IT industry in Ukraine. Proceedings of 2014 International Conference on Interactive Collaborative Learning (ICL), 3-6 Dec. 2014, Dubai (pp. 945 – 949).
9. ISO/IEC (2014). Standart ISO/IEC17788:2014(Е). Information technology – Cloud computing – Overview and vocabulary.
10. Mell, P. & Grance, T. (2011). The NIST Definition of Cloud Computing. Recommendations of the National Institute of Standards and Technology. NIST Special Publication, 800-145. NIST, Gaithersburg, MD 20899-8930.
11. Shyshkina, M. (2017). The General Model of the Cloud-based Learning Environment of Educational Personnel Training. Teaching and Learning in a Digital World. ICL 2017. Advances in Intelligent Systems and Computing (pp.812-818). Cham : Springer.
12. Shyshkina, M. (2015). The Hybrid Service Model of Electronic Resources Access in the Cloud-Based Learning Environment. CEUR Workshop Proceedings, 1356, 295-310.
13. Svetsky, S. & Moravcik, O. (2016). The empirical research on human knowledge processing in natural language within engineering education. Proceedings of WEEF& GEDC 2016: The world engineering education forum & The global engineering deans council. Seoul, Korea, 2016 ( pp. 10-12).
14. Svetsky, S., Moravcik, O. & Tanuska, P. (2017). The Knowledge Management IT Support: From Personalized to Collaborative Approach. Proceedings of the 14th International Conference on Intellectual Capital, Knowledge Management & Organisational Learning. ICICKM 2017 (pp. 253-260).
REFERENCES (TRANSLATED AND TRANSLITERATED)
1. Bykov, V., Spirin, O. & Shyshkina, M. (2015). Corporate information systems for supporting the learning and research activity by means of cloud services. Problemy ta perspektyvy formuvannia natsionalnoi humanitarno-tekhnichnoi elity, 43 (2) (47), 93–122.
2. Bykov, V. & Lapinskii, V. (2012). Methodological and methodical bases of creation and use of electronic learning tools. Computer in School and Family, 2 (98), 3–6. Retrieved from http://nbuv.gov.ua/UJRN/komp_2012_2_2.
3. Bykov, V. (2013). Mobile Space and Mobile-Oriented Internet User Environment: Features of Modeling and Educational Application. Information Technologies in Education, 17, 9–37. Retrieved from http://ite.kspu.edu/issue-17/p-9-37.
4. Bykov, V. (2009). The Organizational Models of Open Education. Кyiv : Atika.
5. Bykov, V. Yu. (2011). Cloud technology, ICT outsourcing, and the emerging functions of ICT units in educational and research institutions. Information Technologies in Education, 10, 8-23.Retrieved from http://ite.kspu.edu/issue-10/p-8-23.
6. Shyshkina, M. (2015). Formation and development of the cloud-based learning and research environment of higher education institution. Кyiv: UkrISTEI.
7. Bykov, V. & Shyshkina, M. (2018). The Conceptual Basis of the University Cloud-based Learning and Research Environment Formation and Development in View of the Open Science Priorities. Information Technologies and Learning Tools, 6 (68). Retrieved from https://journal.iitta.gov.ua/index.php/itlt/article/view/2609/1409.
8. Bykov, V. & Shyshkina, M. (2014). Emerging technologies for personnel training for IT industry in Ukraine. Proceedings of 2014 International Conference on Interactive Collaborative Learning (ICL), 3-6 Dec. 2014, Dubai (pp. 945 – 949).
9. ISO/IEC (2014). Standart ISO/IEC17788:2014(Е). Information technology – Cloud computing – Overview and vocabulary.
10. Mell, P. & Grance, T. (2011). The NIST Definition of Cloud Computing. Recommendations of the National Institute of Standards and Technology. NIST Special Publication, 800-145. NIST, Gaithersburg, MD 20899-8930.
11. Shyshkina, M. (2017). The General Model of the Cloud-based Learning Environment of Educational Personnel Training. Teaching and Learning in a Digital World. ICL 2017. Advances in Intelligent Systems and Computing (pp.812-818). Cham : Springer.
12. Shyshkina, M. (2015). The Hybrid Service Model of Electronic Resources Access in the Cloud-Based Learning Environment. CEUR Workshop Proceedings, 1356, 295-310.
13. Svetsky, S. & Moravcik, O. (2016). The empirical research on human knowledge processing in natural language within engineering education. Proceedings of WEEF& GEDC 2016: The world engineering education forum & The global engineering deans council. Seoul, Korea, 2016 ( pp. 10-12).
14. Svetsky, S., Moravcik, O. & Tanuska, P. (2017). The Knowledge Management IT Support: From Personalized to Collaborative Approach. Proceedings of the 14th International Conference on Intellectual Capital, Knowledge Management & Organisational Learning. ICICKM 2017 (pp. 253-260).
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