Year: 2025
Type: conference-paper
Abstract: With the development of computer technology and artificial intelligence, there is a steady increase in information on various operating systems. As a result, new technologies for processing this data and their analysis procedures are constantly emerging, which create additional opportunities for analyzing the economy, education, production and much more. Today, the digital transformation of education is analyzed using big data. It was BigData analytics that made it possible to systematize a huge amount of accumulated information, build educational trajectories in a new way and create smart educational programs, as well as apply modern data algorithms in electronic educational resources and special programs, which will directly help adapt the educational process to the characteristics of each student and predict the results of his training. The authors used the BigData analytics system to study and analyze the effectiveness of increasing students' independent motor activity. We conducted an experiment on the use of BigData analysis and concluded that using "big data" it is possible to look at the dynamics of increasing students' motor activity. And the case of interpreting the results obtained by key indicators shows that the method of visualizing statistical data has a great future in universities, can help in the development of program material and planning the educational process.
Authors: O.A. Kazakova, L.A. Ivanova, L.V. Kurilenko, A.A. d https://orcid.org/ Seleznev
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4409208831