Possibilities of using big data (Big Data) to optimize the educational process

- Головко, Дар'я Юріївна (orcid.org/0000-0003-0564-7869) (2024) Possibilities of using big data (Big Data) to optimize the educational process In: Formation of innovative potential of world science: collection of scientific papers «SCIENTIA» with Proceedings of the VI International Scientific and Theoretical Conference, March 1, 2024 . International Center of Scientific Research, с. Tel Aviv, State of Israel, pp. 30-32. ISBN 979-8-88955-772-2

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Abstract

The use of big data (Big Data) in the modern world, where information technologies are rapidly developing, is considered. The seven main characteristics of big data, known as the "seven V's": volume, variety, velocity, validity, variability, visualization and value are given. Also indicated are the categories of data generated by the educational process, such as performance data, attendance, behavioral data, demographic and satisfaction data.

Item Type:	Book Section
Keywords:	big data, process optimization, visualization, personalization, data analysis
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 > 004.01/.08 Special auxiliary numbers for computing 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 ) > 004.94 Simulation Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education > 37.09 Organization of instruction
Divisions:	State institution of higher education «University of educational management» > Bila Tserkva institute of continuous education of state higher educational institution «University of educational management» > Department of Training Technologies, Labor Safety and Design
Depositing User:	Дар'я Юріївна Головко
Date Deposited:	10 Apr 2024 10:36
Last Modified:	10 Apr 2024 10:36
URI:	https://lib.iitta.gov.ua/id/eprint/740222

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