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Selection criteria for cloud-oriented learning technologies for the formation of professional competencies of bachelors majoring in statistics

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dc.contributor.author Gavryliuk, Olga
dc.contributor.author Vakaliuk, Tetiana
dc.contributor.author Kontsedailo, Valerii
dc.date.accessioned 2020-04-13T19:39:52Z
dc.date.available 2020-04-13T19:39:52Z
dc.date.issued 2020-03-26
dc.identifier.citation Gavryliuk O. Selection criteria for cloud-oriented learning technologies for the formation of professional competencies of bachelors majoring in statistics [Electronic resource] / Olga Gavryliuk, Tetiana Vakaliuk, Valerii Kontsedailo // The International Conference on History, Theory and Methodology of Learning (ICHTML 2020). Kryvyi Rih, Ukraine, May 13-15, 2020 / Eds. : V. Hamaniuk, S. Semerikov, Y. Shramko // SHS Web of Conferences. – 2020. – Volume 75. – Article 04012. – Access mode : https://www.shs-conferences.org/articles/shsconf/abs/2020/03/shsconf_ichtml_2020_04012/shsconf_ichtml_2020_04012.html. – DOI : 10.1051/shsconf/20207504012 uk_UA
dc.identifier.issn 2261-2424
dc.identifier.other DOI : 10.1051/shsconf/20207504012
dc.identifier.uri https://www.shs-conferences.org/articles/shsconf/abs/2020/03/shsconf_ichtml_2020_04012/shsconf_ichtml_2020_04012.html
dc.identifier.uri http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3735
dc.identifier.uri https://doi.org/10.1051/shsconf/20207504012
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dc.description.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 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. uk_UA
dc.language.iso en uk_UA
dc.publisher EDP Sciences uk_UA
dc.relation.ispartofseries SHS Web of Conferences;75
dc.subject criteria uk_UA
dc.subject selection criteria uk_UA
dc.subject cloud-based learning technologies uk_UA
dc.subject cloud services uk_UA
dc.subject bachelors majoring in statistics bachelor of statistics uk_UA
dc.title Selection criteria for cloud-oriented learning technologies for the formation of professional competencies of bachelors majoring in statistics uk_UA
dc.type Article uk_UA


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