Ershova I.V., Enkova E.E., Laptev V.A., Petrakov A.Y., Fiofanova O.A. Architecture of University Educational Processes in the COVID-19 Pandemic: From Small Data to Big Data and Data Science/Advances in Natural Human-Made and Coupled Human-Natural Systems Research. Lecture Notes in Networks and Systems. Springer Nature. https://doi.org/10.1007/978-3-030-75483-9_126
Abstract The paper focuses 1 on the degree of influence of Big Data on building the
educational process at Russian law university in the COVID-19 pandemic. We use
analysis, interpretation, and the sociological method as primary research methods.
Furthermore,we conduct sociological studies. Themain research result is the demon5
stration of the influence of the collected information on administrative decision6
making. Additionally, we describe the organization of the educational process at
the selected university. The paper demonstrates students’ attitude towards Big Data
on various aspects, including awareness of this technology and its significance for
management processes of a university. The dependence of collected and analyzed
information on the formof education is traced.We conclude that Big Data has not yet found widespread use in Russian higher education. Therefore, we identify reasons
preventing the reveal of the full potential of Big Data in education. Simultaneously,
the use of “useful” Big Data content in university management is predicted to grow,
provided that the objectives of Date University Science outlined in the article are
met. The study is novel in that it defines the impact of Big Data on the architecture of the university educational process in different periods of the COVID-19 pandemic. It
happens when educational institutions of higher education implement distance and online communication or mixed learning exclusively.
Keywords Big data · Data science · University management · Educational process · Master’s degree · Graduate students · Online learning · Distance learning · Lawyers · Digital economy · COVID-19 pandemic.
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https://www.springer.com/gp/book/9783030754822
