APPLICATION OF INFORMATION TECHNOLOGIES AND METHODS FOR PROCESSING BIG DATA TO THE MANAGEMENT OF THE EDUCATIONAL PROCESS DURING THE PANDEMIC

Mukhiyadin A. Makhazhanova U. Serikbayeva S. Kassekeyeva A. Muratova G. Karauylbayev S. Muratkhan R. Kenzhebay A.
31 January 2023 Little Lion Scientific

Journal of Theoretical and Applied Information Technology
2023 #101 Issue 2 458 - 470 pp.

The spread of coronavirus infection has changed all spheres of human life, forcing a new look at traditional forms of activity. Education as the most important social sphere has taken the blow of the pandemic transformation, resulting in a significant spread of distance forms of interaction between the teacher and the learner, involving the reliance on digital learning tools. Due to the need for participants in the educational process in these conditions to operate with large amounts of data and process information electronically, the use of the potential of artificial intelligence in education. The article deals with new opportunities and problems of integration of education and artificial intelligence under conditions of Covid-19 pandemic. The object of the research is education in the epoch of Covid19. The article describes fundamental changes, which took place in the educational system during the pandemic period, outlines promising directions of artificial intelligence usage in the modern educational process and corresponding problems. The necessity of further research of possibilities of integration of education and big data under conditions of acceleration of processes of digitalization of society is marked. COVID-19 epidemic caused a great number of human casualties and destruction of economic, social, public and health systems all over the world. Combating such an epidemic requires an understanding of its characteristics and behavior, which can be determined by collecting and analyzing relevant big data. Big data analysis tools play a vital role in generating the knowledge necessary for decision-making and precautionary measures. However, because of the vast amount of COVID-19 data available from various sources, there is a need to review the role of big data analysis in controlling the spread of COVID-19 by presenting the main challenges and directions of COVID-19 data. analysis, as well as providing a framework for relevant existing applications and research to facilitate future research on COVID-19 analysis. Therefore, in this paper, we conduct a literature review to highlight the contributions of several studies in the field of COVID-19-based big data analysis.

Big Data , COVID-19 , Educational Activity , Multinomial Logistic Regression , Regression Analysis , Relationship Between Traits , Secondary School Students , Social Data

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L. N. Gumilyov Eurasian National University, Astana, Kazakhstan
Taraz Regional University Named after M.Kh.Dulaty, Taraz, Kazakhstan
Buketov Karagandy University, Karaganda, Kazakhstan

L. N. Gumilyov Eurasian National University
Taraz Regional University Named after M.Kh.Dulaty
Buketov Karagandy University

10 лет помогаем публиковать статьи Международный издатель

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