ANALYSIS OF THE EDUCATIONAL OFFER FOR ADMISSION TO HIGHER EDUCATION INSTITUTIONS IN 2024 USING POWER BI

Authors

  • Kostenko Inna National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • Klymenko Yevhenii National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • Kharchenko Volodymyr National University of Life and Environmental Sciences of Ukraine image/svg+xml

DOI:

https://doi.org/10.31548/itees.2024.02.037

Abstract

The article presents an analysis of the 2024 admission campaign to higher education institutions (HEIs) in Ukraine, investigating the relationship between the number of applications submitted by applicants and indicators characterizing educational offerings. The analysis was conducted using data from the Unified State Electronic Database on Education (USEDE) for 2024, applying the correlation-regression method. It is shown that there is a strong positive relationship between the volume of educational offerings and the number of applications to HEIs, while linear regression allows for a quantitative representation of this dependence, explaining nearly 50% of the sample. The article examines the impact of external factors, such as regional location, proximity to active combat zones, and HEI rankings, on the number of applications. The structure of the distribution of recommended places for admission under specific admission conditions is also presented. The conducted research reflects the peculiarities of demand formation for HEI services based on the results of the 2024 admission campaign and allows for optimizing approaches to planning educational programs, improving the efficiency of higher education institutions in Ukraine.

References

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Published

2025-01-25

Issue

No. 2 (2024)

Section

All articles from the issue

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