FACTORS AFFECTING POST GRADUATE ADAPTIVE PERFORMANCE IN ONLINE LEARNING DURING COVID19 PANDEMIC
Keywords:
Online learning; COVID-19; Affecting; Adaptive performance; Postgraduate studentsAbstract
The COVID-19 pandemic has caused various sectors in Malaysia to be closed, including the education sector. Thus, the effects of this COVID-19 pandemic have caused major concern among postgraduate students. Therefore, the learning system has been changed by using online learning so that students' learning activities are not interrupted. However, this online learning system has received poor feedback from students. This is because postgraduate students find that online teaching is tedious and uninteresting because online learning has so much time and flexibility that students never get the time to do it. Therefore, this study aimed to identify factors influencing postgraduate adaptive performance in online learning during the covid-19 pandemic. An online survey via Microsoft Form will be conducted and attended by a total of 82 postgraduate students from different backgrounds. Several statistical methods such as Pearson Correlation Coefficient, Cronbach Alpha Coefficient, t-test and One-Way ANOVA will be used to measure the dimensions. For this study, the researcher also used the conceptual framework method and referred to the Adaptive Performance to find the relationship between the factors influencing postgraduate adaptive performance in online learning during the COVID-19 pandemic. This study shows that strategies and actions are desperately needed between the ministry of higher education and universities especially UniKL MITEC to ensure academic survival among postgraduate students during the pandemic.
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Journal of Engineering Technology (JET) is an open-access journal that follows the Creative Commons Attribution-Non-commercial 4.0 International License (CC BY-NC 4.0)



