Infodemic And Student Satisfaction With COVID-19 Related Information On The College Website

Abstract

The outbreak of covid-19 generated a vast disruption in the whole workflow mechanism in higher education institutions (HEIs). Nevertheless, on the contrary, the possibilities of positively reforming the teaching and learning process can be witnessed simultaneously, along with a renewed outlook and growth within the higher education (HE) system. Correspondingly, Oxford Business College (OBC) has faced a reconfiguration in its academic setting due to the sudden and unplanned shift to the digital learning space during the pandemic. The present study aimed to examine students' satisfaction with COVID-19 related information that the college provided its students through its Website. A quantitative approach was adopted, and an online survey was used to collect data from students at Oxford Business College UK. Survey data was primarily collected from N=969 OBC students. The data was analysed using RStudio version 1.4.1106 to build and train the regression model and subsequently validate it. The outcome variable was recoded into three categories for adequate sample size in each contingency cell, and the baseline category was set for the low satisfaction group. The multinomial logistic regression results showed significantly marginal effects on the simultaneous estimation regression model. The model's accuracy for the training data set was found to be 65% correct prediction, and misclassification error was 34%, whereas correct prediction for test data showed less discrepancy. The results confirmed that more than 80% of students were highly satisfied, as compared to the low satisfaction group, with the regular updates and relevant information about covid-19 and found it very important for guiding and avoiding any academic loss throughout the pandemic. Keywords: Infodemic, Covid-19, OBC Website Information, Student Satisfaction