Using big data analytics to assess educational outcomes at Ukrainian universities
DOI:
https://doi.org/10.21533/pen.v13.i3.447Abstract
The proposed article aims to analyze the perception of teachers and students regarding the use of Big Data analytics to assess educational outcomes at Ukrainian universities. The primary method of information collection is interviews with survey elements. A purposive method was used to find and attract participants. In total, 15 teachers and 89 students participated. The results show that all participants in the educational process are ready to work with modern technologies. Among the advantages of big data analytics are enhanced tracking of student results, data-driven decision-making, and personalization of curricula. The study also identifies certain risks: problems with security, the use of incomplete or biased data, dependence on algorithms, financial barriers, dehumanization of education, and dependence on technology. The conclusions indicate that further implementation of these technologies requires the introduction of moderate solutions to analyze information.
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Copyright (c) 2025 Inna Sokhan, Zoya Tsybulnyk, Olena Kyrychenko, Nelya Guts, Nataliia Prykhodkina
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