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http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3735| Назва: | Selection criteria for cloud-oriented learning technologies for the formation of professional competencies of bachelors majoring in statistics |
| Автори: | Gavryliuk, Olga Vakaliuk, Tetiana Kontsedailo, Valerii |
| Ключові слова: | criteria selection criteria cloud-based learning technologies cloud services bachelors majoring in statistics bachelor of statistics |
| Дата публікації: | 26-бер-2020 |
| Видавництво: | EDP Sciences |
| Бібліографічний опис: | 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 |
| Серія/номер: | SHS Web of Conferences;75 |
| Короткий огляд (реферат): | 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. |
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| URI (Уніфікований ідентифікатор ресурсу): | https://www.shs-conferences.org/articles/shsconf/abs/2020/03/shsconf_ichtml_2020_04012/shsconf_ichtml_2020_04012.html http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3735 https://doi.org/10.1051/shsconf/20207504012 |
| ISSN: | 2261-2424 |
| Розташовується у зібраннях: | Кафедра інформатики та прикладної математики |
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