The Complex Evaluation of the Impact of COVID-19 Pandemic at Universities: A Soft Computing Approach

The COVID-19 pandemic impacted the educational process since the teaching process has been forced to go online in many countries. This enforced change revealed the weaknesses and strengths of the national educational systems and particular institutions. This article aims to analyse the impact of COV...

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Bibliographic Details
Published in:Journal on efficiency and responsibility in education and science Vol. 16; no. 3; pp. 231 - 244
Main Authors: Zapletal, František, Hudec, Miroslav, Švaňa, Miloš, Chytilová, Lucie, Hlaváček, Karel, Lokaj, Aleš, Urbanek, Anna, Glova, Jozef, Samartinho, João Paulo, Rodriguez, Cristina Maria Costa, Guðnason, Stefán
Format: Journal Article
Language:English
Published: Czech University of Life Sciences Prague 01-09-2023
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Summary:The COVID-19 pandemic impacted the educational process since the teaching process has been forced to go online in many countries. This enforced change revealed the weaknesses and strengths of the national educational systems and particular institutions. This article aims to analyse the impact of COVID-19 at selected European universities and assess the satisfaction of students, teachers, IT staff and management. This study is unique for its systematicity and complexity – it aggregates the opinions of all interested groups of stakeholders, distinguishes several time periods (before, during and after the pandemic), and allows the respondents to express hesitance in their evaluation. The evaluation model uses fuzzy sets to capture the uncertainty and to aggregate the opinions of different stakeholder groups. The empirical results show that most of the satisfaction development is the same or similar for all institutions examined. Then, the pandemic strongly influenced the satisfaction of all stakeholder groups at the universities examined. This impact was mostly negative, however, several lessons learnt have been revealed. Therefore, it was shown that it is highly beneficial to include these aspects to obtain a reliable picture of overall satisfaction.
ISSN:2336-2375
1803-1617
DOI:10.7160/eriesj.2023.160307