Open and distance learning preparedness factors among academicians in UiTM (Pahang) using logistic regression

ABSTRACT

COVID-19 pandemic has caused nearly all face-to-face classes in all schools and institutions of higher education around the world to stop temporarily, including Malaysia to curb the spread of the virus. As an initiative to that, the Ministry of Education (MOE) Malaysia has ordered all schools and higher education institutions to conduct e-learning sessions to practice the new normal and to obey the Movement Control Order (MCO) implemented in Malaysia. Therefore, this study aims to investigate the preparedness factors of the open and distance learning (ODL) among the lecturers in Universiti Teknologi MARA (Pahang). A simple random sampling technique was used to distribute the questionnaires to 126 lecturers on demographic characteristics and how ODL did affect them positively or negatively. A descriptive statistics was used in representing the demographic characteristics of the lecturer and a new analysis model was built based on the determination of the preparedness factors using logistic regression analysis. Based on the finding, five factors influenced the preparedness of ODL among the lecturers;1) teaching experience, 2) number of family members, 3) enough number of devices, 4) enough internet data and 5) convenience in ODL. Besides, the overall model explained further that 93.65% of the sample was classified correctly. © 2021 American Institute of Physics Inc.. All rights reserved.