The impact of online education due to COVID-19 outbreak as a cause of anxiety among university students in Northern Cyprus using cross- sectional survey: A data driven based approach
1 Faculty of Medicine Cyprus International University, Haspolat-lefkosa via Mersin 10, Turkey, North Cyprus.
2 Near East University Faculty of Medicine North Cyprus.
3 Management and Science University Bangalore, India.
4 Department of Health care organization management, Cyprus International University, Haspolat-lefkosa via Mersin 10, Turkey.
5 Special Education, Faculty of Education, Derna University, Al-qubba Libya.
Research Article
GSC Advanced Engineering and Technology, 2022, 02(01), 047–061.
Article DOI: 10.30574/gscaet.2021.2.1.0023
Publication history:
Received on 27 December 2021; revised on 29 January 2022; accepted on 30 January 2022
Abstract:
Introduction: Coronavirus disease (COVID-19) or severe acute respiratory syndrome is an infectious disease caused by a newly found coronavirus strain. SARS-CoV-2 coronavirus is a type of virus that causes respiratory illnesses in people. Online learning system was switched due to the COVID-19 and GAD-7 Scales were used to measure the correlation and impact of online education as a reason for anxiety among university students in Northern Cyprus.
Methods: The Generalized anxiety disorder (GAD-7) scale was used to assess anxiety level. An e-questionnaire was formed using google form and shared on social media. An online survey was done, it was participated by 209 students of universities in Northern Cyprus in which the data analysis was done using statistical package for social science (SPSS), MLR, ANN, and ANFIS.
Results: 209 participants 64.6% of the participants had minimal to mild anxiety and 34.6% had moderate to severe anxiety according to generalized anxiety disorder (GAD-7) scale. Almost all Students with medium economic status have minimal to mild anxiety levels. The obtained data driven approach performance results indicates the ability of the hybrid techniques over the single models in simulation of the anxiety level of the students based on the performance evaluation indices used in the current research
Conclusion: The COVID-19 Outbreak imposes a serious challenge to university students undergoing online classes in Northern Cyprus as majority of the students with medium income reported to had minimal to mild anxiety which require the attention of the concern authorities to provide a solution. The proposed hybrid techniques prove to have the necessary efficiency in boosting the performance of the single models towards anxiety level of the student’s simulation.
Keywords:
COVID-19; Online Education; Anxiety; Lockdown; Data driven approach
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Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
