| Issue |
SHS Web Conf.
Volume 75, 2020
The International Conference on History, Theory and Methodology of Learning (ICHTML 2020)
|
|
|---|---|---|
| Article Number | 04012 | |
| Number of page(s) | 5 | |
| Section | Methodology of Learning, Education and Training | |
| DOI | https://doi.org/10.1051/shsconf/20207504012 | |
| Published online | 26 March 2020 | |
Selection criteria for cloud-oriented learning technologies for the formation of professional competencies of bachelors majoring in statistics
1 Institute of Information Technologies and Learning Tools of the NAES of Ukraine, Department of Cloud-Oriented Systems of Education Informatization,, Kyiv, 04060 , Ukraine
2 Zhytomyr Polytechnic State University, Department of Software Engineering, Zhytomyr, 10005, Ukraine
3 Easygenerator, 3012 KN Rotterdam, Netherlands
* Corresponding author:tetianavakaliuk@gmail.com
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 indicators, 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 vmanifestation of all criteria are cloud-oriented learning technologies CoCalc and Wolfram|Alpha.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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