Conceptual component of the model of using cloud-based learning technologies for the formation of professional competencies of future bachelors of statistics

- Гаврилюк, Ольга Дмитрівна (orcid.org/0000-0001-9761-6511) (2020) Conceptual component of the model of using cloud-based learning technologies for the formation of professional competencies of future bachelors of statistics In: Збірник матеріалів VIII Всеукраїнської науково-практичної конференції молодих вчених "Наукова молодь-2020" . ФОП Ямчинський О.В., м. Київ, Україна, pp. 47-50. ISBN 978-617-7890-76-7

[img] Text
GavryliukOD_kotsept_komponent_modeli.pdf

Download (314kB)

Abstract

The theoretical basis for developing a model for the use of cloud-based learning technologies (COLT) for the formation of professional competencies of future bachelors of statistics is based on the structural representation of the five component blocks and the expected result. One of the outstanding is the conceptual component, which is based on pedagogical conditions and principles of teaching.

Item Type: Book Section
Keywords: ICT in education, cloud services, cloud-based learning technologies, bachelors of statistics, principles of teaching, pedagogical conditions
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 > 004.9 ІКТ ( Application-oriented computer-based techniques )
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions: Institute for Digitalisation of Education > Department of the Cloud-Вased Systems of ICT in Education
Depositing User: О.Д. Гаврилюк
Date Deposited: 10 Feb 2021 15:37
Last Modified: 10 Feb 2021 15:37
URI: https://lib.iitta.gov.ua/id/eprint/723382

Downloads

Downloads per month over past year

Actions (login required)

View Item View Item