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Performance evaluation of higher education system amid COVID-19: a threat or an opportunity?
Kybernetes ( IF 2.5 ) Pub Date : 2021-07-02 , DOI: 10.1108/k-10-2020-0713
Bhaskar B. Gardas , Nima Jafari Navimipour

Purpose

COVID-19 is moving the world towards a significant number of structural changes, and this pandemic is influencing each individual, society and industry at large. The present empirical research intends to identify the constructs (latent variables) caused mainly due to the outbreak of COVID-19 and analyze their influence on the education system's performance.

Design/methodology/approach

A pilot study was carried out with 105 responses to gain deeper insights into the factor structure and validate the scale. Then, the exploratory factor analysis was applied to explore five factors. Later on, the confirmatory factor analysis was employed to check the model's unidimensionality, validity and reliability. Finally, structural equation modeling (SEM) was used to explore the factors influencing educational performance.

Findings

Four hypotheses were tested, out of which two were supported, i.e. “compatibility with online mode” and “new opportunities” were found to influence educational performance significantly.

Practical implications

This investigation aims to provide vital information to the ministry of human resource development and educationists/academicians to understand the influence of the higher education system's factors. Also, it offers some strategies and plans to improve the higher educational systems performance in similar situations.

Originality/value

The previous studies did not identify and analyze the factors that influence the educational system's performance; especially, amid COVID-19 using the exploratory, confirmatory factor analyses and structural equation modeling approach.



中文翻译:

COVID-19 中高等教育系统的绩效评估:威胁还是机遇?

目的

COVID-19 正在推动世界发生大量结构性变化,这种流行病正在影响每个人、社会和整个行业。目前的实证研究旨在确定主要由 COVID-19 爆发引起的结构(潜在变量),并分析它们对教育系统绩效的影响。

设计/方法/方法

对 105 个回答进行了一项试点研究,以更深入地了解因素结构并验证量表。然后,应用探索性因素分析来探索五个因素。随后采用验证性因子分析对模型的单维性、效度和信度进行检验。最后,使用结构方程模型(SEM)来探索影响教育绩效的因素。

发现

测试了四个假设,其中两个得到支持,即发现“与在线模式的兼容性”和“新机会”显着影响教育绩效。

实际影响

本次调查旨在为人力资源开发部和教育家/学者提供重要信息,以了解高等教育系统因素的影响。此外,它还提供了一些策略和计划,以在类似情况下提高高等教育系统的绩效。

原创性/价值

以往的研究没有识别和分析影响教育系统绩效的因素;特别是在 COVID-19 中,使用探索性、验证性因素分析和结构方程建模方法。

更新日期:2021-07-02
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