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

- Gavryliuk, Olga, Vakaliuk, Tetiana A. (orcid.org/0000-0001-6825-4697) and Kontsedailo, Valerii V. (orcid.org/0000-0002-6463-370X) (2020) Selection criteria for cloud-oriented learning technologies for the formation of professional competencies of bachelors majoring in statistics SHS Web of Conferences (75). pp. 1-5. ISSN 2261-2424

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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 manifestation of all criteria are cloud-oriented learning technologies CoCalc and Wolfram|Alpha.

Item Type: Article
Keywords: criteria, selection criteria, cloud-based learning technologies, cloud services, bachelors majoring in statistics, bachelor of statistics
Subjects: Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.7 Computer communication. Computer networks > 004.77 General networking applications and services
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 311 Statistics as a science. Statistical theory
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions: Information Technologies and Learning Tools > Joint Research Laboratory on Digital Transformation of Higher Education with Zhytomyr Polytechnic State University
Depositing User: Сергій Олексійович Семеріков
Date Deposited: 28 Apr 2020 16:18
Last Modified: 11 Aug 2020 17:13
URI: http://lib.iitta.gov.ua/id/eprint/720083

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