- Markova, Oksana (orcid.org/0000-0002-5236-6640), Semerikov, Serhiy O. (orcid.org/0000-0003-0789-0272), Striuk, A.M. (orcid.org/0000-0001-9240-1976), Shalatska, Hanna M. (orcid.org/0000-0002-1231-8847), Nechypurenko, Pavlo P. (orcid.org/0000-0001-5397-6523) and Tron, V.V. (orcid.org/0000-0002-6149-5794) (2019) Implementation of cloud service models in training of future information technology specialists Proceedings of the 6th Workshop on Cloud Technologies in Education (CTE 2018), Kryvyi Rih, Ukraine, December 21, 2018 (2433). pp. 499-515. ISSN 1613-0073
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Abstract
Leading research directions are defined on the basis of self-analysis of the study results on the use of cloud technologies in training by employees of joint research laboratory “Сloud technologies in education” of Kryvyi Rih National University and Institute of Information Technology and Learning Aids of the NAES of Ukraine in 2009-2018: cloud learning technologies, cloud technologies of blended learning, cloud-oriented learning environments, cloud-oriented methodological systems of training, the provision of cloud-based educational services. The ways of implementation SaaS, PaaS, IaaS cloud services models which are appropriate to use in the process of studying the academic disciplines of the cycles of mathematical, natural science and professional and practical training of future specialists in information technology are shown, based on the example of software engineering, computer science and computer engineering. The most significant advantages of using cloud technologies in training of future information technology specialists are definite, namely, the possibility of using modern parallel programming tools as the basis of cloud technologies. Conclusions are drawn; the direction of further research is indicated: designing a cloud-oriented learning environment for future specialists in computer engineering, identifying trends in the development of cloud technologies in the professional training and retraining of information technology specialists, developing a methodology for building the research competencies of future software engineering specialists by using cloud technologies.
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