Authors:
Tetiana Vakaliuk
1
;
2
;
3
;
Olga Gavryliuk
2
;
Valerii Kontsedailo
4
;
Vasyl Oleksiuk
5
;
2
and
Olga Kalinichenko
3
Affiliations:
1
Zhytomyr Polytechnic State University, Ukraine
;
2
Institute of Information Technologies and Learning Tools of the NAES of Ukraine, Ukraine
;
3
Kryvyi Rih State Pedagogical University, Ukraine
;
4
Inner Circle, Netherlands
;
5
Ternopil Volodymyr Hnatiuk National Pedagogical University, Ukraine
Keyword(s):
Criterion, Selection Criteria, Cloud-Based Learning Technologies, Cloud Services, Bachelors Majoring in Statistics, the Methodology of Use
Abstract:
This article scientifically substantiates the criteria for the selection of cloud-oriented learning technologies for the formation of professional competencies of bachelors majoring in statistics, as well as presents the results of expert evaluation of existing cloud-oriented learning technologies by defined criteria. The criteria for the selection of cloud-oriented learning technologies for the formation of professional competencies of bachelors majoring in statistics were determined: information-didactic, functional, and technological. To implement the selection of cloud-oriented learning technologies for the formation of professional competencies of bachelors majoring in statistics, and effective application in the process of formation of relevant competencies, the method of expert evaluation was applied. The expert evaluation was carried out in two stages: the first one selected cloud-oriented learning technologies to determine the most appropriate by author's criteria and indica
tors, and the second identified those cloud-oriented learning technologies that should be used in the educational process as a means to develop professional skills Bachelor of Statistics. According to the research, the most appropriate, convenient, and effective cloud-oriented learning technologies for the formation of professional competencies of future bachelors of statistics by the manifestation of all criteria are cloud-oriented learning technologies CoCalc and Wolfram|Alpha. The general structure of the methodology of using cloud learning technologies for the formation of professional competencies of future bachelors of statistics is described.
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