COVID-19 and Student Health Care in Ukraine: Do Public Decisions Meet Student Needs?

Abstract

There were three main reasons for choosing the topic for this empirical research. The first reason was that the world faced a global threat of the COVID-19 pandemic. The second one was that the new university offering the relative share of e-learning equals 100% must meet students' needs as educational services buyers. The third reason was that the sudden transition to 100% of e-learning could affect the mental and physical health of students. The goal of this empirical research was to study whether public decisions on student health care during the COVID-19 pandemic era in Ukraine meet students' needs. The authors have used powerful research methodologies such as literature review, analysis of public decisions on student health care during the COVID-19 pandemic era in Ukraine, experiment planning, questionnaire survey, primary processing and grouping of the results and verification of statistical hypotheses. The study surveyed 142 respondents in seven groups. The authors put forward the key hypothesis: public decisions on student health care during the COVID-19 pandemic era in Ukraine meet student needs in e-learning. This empirical study gives us six new scientific results. Mainly, the comparison of public decisions on student health care during the COVID-19 pandemic era and student needs in e-learning shows that the difference is statistically significant. The alternative hypothesis was accepted: student needs in e-learning are not equal to 100% if random deviations will not be taken into account. This main scientific result is highly statistically significant (0,01). Additionally, the new scientific result is that the theory of learning should be adjusted taking into account that the share of e-learning equals 100%. Implementation of these and the rest of the new scientific results will improve public decisions on student health care in Ukraine during the COVID-19 pandemic. One of the tasks for the next exploration is to study how the sudden transition to 100% of e-learning affected mental and physical student health.

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