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The Effect of Public Policy on the Demand for Higher Education in Pakistan

Case of Covid-19

Dados Bibliográficos

ID22129703
AutoresMuhammad Ibrahim Shah (0000-0001-9978-0569), Noor Jehan (0000-0002-2816-5232, Abdul Wali Khan University Mardan), Amreena Begum (Abdul Wali Khan University Mardan), Ghazala Naheed Beig (The University of Agriculture, Peshawar), Waheedullah Waheedullah (The University of Agriculture, Peshawar)
Ano2021
Volume9
Fascículo3
Páginas1623-1631
Data de publicação2021-06-30
Open AccessSim
TipoARTICLE
PeriódicoHumanities & Social Sciences Reviews (JOURNAL)
Identificadores do periódicoISSN: 2395-6518 • E-ISSN: 2395-6518
EditoraMaya Global Education Society (PUBLISHER)
DOI10.18510/hssr.2021.9419
OpenAlexW3190463123
IdiomaEN
Referências citadas29

Purpose of the study: This research was conducted in the peak days of the Covid-19 pandemic. The intention was to know the effect of public policy of online classes on demand for higher studies. Methodology: The data was collected online through Google forms via direct requests in different students groups. The probability that a student will continue studies if online classes were continued was the dependent variable and hence a "1" response and a "0" response otherwise, so logistic regression was applied. Main Findings: If there is a preparedness problem for online classes, there would be a decrease in another admission, while ease of adaptability will increase admissions. A unit increase in tuition fees significantly negatively affects the probability of admissions in the online system. A male student, a day scholar student, has more probability of continuing studies in the online system. Applications of this study: This study is very fruitful in devising educational policy and government guidance. Online classes were a new thing for the majority of the students and institutions, and our results can be of great help in the future course of action. Novelty/Originality of this study: The study developed a perceptive questionnaire about online classes, and it was found to be reliable based on Cronbach alpha value of .82. We run Principal Component Analysis on a reliable scale and three components were extracted in the process i.e. ease of adaptability, system-related and preparedness problem

Adaptability · Business · Cronbach's alpha · Economics · Higher education · Management · Mathematics education · Medical education · Novelty · Originality · Political science · Preparedness · Computer Science · Cyberloafing and Workplace Behavior · Educational Management and Quality · Medicine · Online and Blended Learning · Psychology · Social Psychology · Marketing

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