Abstract
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.
Published Version
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