Open AccessBig Data: Impact on University Education Management
Author(s) -
Inna V. Ershova,
Е. Е. Енькова
Publication year - 2021
Publication title -
aktualʹnye problemy rossijskogo prava
Language(s) - English
Resource type - Journals
eISSN - 2782-1862
pISSN - 1994-1471
DOI - 10.17803/1994-1471.2021.130.9.169-176
Subject(s) - big data , context (archaeology) , field (mathematics) , public relations , higher education , sociology , political science , knowledge management , psychology , computer science , geography , mathematics , archaeology , pure mathematics , law , operating system
The paper attempts to comprehend the possibilities of using big data technology in the activities of universities. Based on the analysis of Russian and foreign sources, the understanding and significance of big data are presented. A reasoned opinion is expressed that the period of the pandemic has become a catalyst for universities to make managerial decisions in the educational sphere based on big data. Based on the results of sociological research, it has been shown that the transition from the “analog” to the digital level of understanding educational reality in the context of the COVID-19 pandemic, including the development of local acts, was carried out under the influence of big data. The results of the author’s questionnaire are given, indicating that the respondents are aware of the technology of big data, their positive attitude to the use of its potential for building the educational process at the university. The conclusion is made about the transition in large educational organizations from small to big data in the aspect of making management decisions based on the analysis of such data, which became possible due to the formation by the efforts of scientific and pedagogical workers and specialists of technical departments of the electronic information and educational environment of the university. The circumstances that negatively affect the full-fledged use of big data technology in the field of education are revealed. Prospects for the further development of big data at universities are outlined.