Keywords: educational process, training optimization, information technologies, cloud computing, service models, deployment models
Cloud technologies for optimizing the educational process at school
UDC 373.55
DOI: 10.26102/2310-6018/2021.34.3.029
The article deals with the problem of optimizing the educational process through the use of cloud technologies. The purpose is to study the effectiveness of using cloud technologies in solving problems of optimizing the educational process. The paper considers the theoretical aspects of optimizing the educational process, the features of cloud technologies; the analysis of existing cloud computing solutions in the educational space is carried out; the necessity of using cloud technologies in teaching based on computer classes is formulated; the results of using the cloud service for solving optimization problems in the educational space of the school are presented. An analysis of existing cloud computing solutions has shown that there are currently three models for deploying cloud systems: private, public and hybrid, and three service models depending on the type of services provided: IaaS, PaaS and SaaS. In accordance with the objectives of the study, Amazon Web Services was selected to achieve the research goal, at the level of free access for one year monthly for 750 hours of operation of the t2.micro instance with Linux or Windows. The results of the study showed that when using cloud technologies in combination with pedagogical technologies, it was possible to increase the level of knowledge and skills of students in Computer Science and information technologies with the least time, while minimal material resources were spent on achieving the set results for a certain period of time.
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Keywords: educational process, training optimization, information technologies, cloud computing, service models, deployment models
For citation: Bijieva S.H., Erkenova M.U., Shamanov K.S. Cloud technologies for optimizing the educational process at school. Modeling, Optimization and Information Technology. 2021;9(3). URL: https://moitvivt.ru/ru/journal/pdf?id=1015 DOI: 10.26102/2310-6018/2021.34.3.029 (In Russ).
Received 02.07.2021
Revised 26.09.2021
Accepted 30.09.2021
Published 30.09.2021