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

Pub Date : 2023-09-25 DOI:10.7160/eriesj.2023.160307
František Zapletal, Miroslav Hudec, Miloš Švaňa, Lucie Chytilová, Karel Hlaváček, Aleš Lokaj, Anna Urbanek, Jozef Glova, João Paulo Samartinho, Cristina Maria Costa Rodriguez, Stefán Guðnason
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Abstract

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.
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基于软计算方法的高校新冠肺炎疫情影响复杂评估
新冠肺炎疫情影响了教育进程,许多国家的教学过程被迫在网上进行。这种强制性的变化暴露了国家教育制度和特定机构的弱点和长处。本文旨在分析COVID-19对选定的欧洲大学的影响,并评估学生、教师、IT人员和管理人员的满意度。这项研究的独特之处在于其系统性和复杂性——它汇集了所有利益攸关方感兴趣群体的意见,区分了几个时间段(大流行之前、期间和之后),并允许答复者在其评估中表达犹豫。该评价模型利用模糊集来捕捉不确定性,并汇总不同利益相关者群体的意见。实证结果表明,在所有被调查的机构中,大多数满意度的发展是相同或相似的。然后,大流行强烈影响了所调查大学中所有利益攸关方群体的满意度。这种影响主要是消极的,然而,从中吸取了一些教训。因此,研究表明,将这些方面包括在内,对获得可靠的总体满意度是非常有益的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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