Open AccessIDENTIFICATION FACTORS INFLUENCING E-LEARNING SATISFACTION DURING COVID-19 PANDEMIC PERIOD AMONG STUDENTS AT A MALAYSIA PRIVATE INSTITUITION
Author(s) -
Han Kok Heng,
Izwan Harith Md. Ithnan,
Chun Keat Yeap,
Pei Yee Lai
Publication year - 2021
Publication title -
social and management research journal/social and management research journal
Language(s) - English
Resource type - Journals
eISSN - 0128-1089
pISSN - 1675-7017
DOI - 10.24191/smrj.v18i2.14906
Subject(s) - pandemic , psychology , higher education , covid-19 , construct (python library) , medical education , test (biology) , quality (philosophy) , usability , applied psychology , medicine , disease , computer science , political science , paleontology , philosophy , epistemology , pathology , infectious disease (medical specialty) , law , biology , programming language , human–computer interaction
The rapid occurrences of Corona Virus Disease (Covid-19) have posed various challenges to our society, including the quality of the education system in Malaysia. The current study aims to first measure the impact of demographic variables (gender, age, and education level) and non-demographic variables (perceived usefulness, perceived ease of use, and technological factor) on e-learning satisfaction among students from a higher education institution in Malaysia, and to construct a student satisfaction prediction model subsequently. A structured questionnaire survey was administered to a total of 344 respondents and the statistical analysis of the Chi-Square test and Multiple Regressions was performed. The result of the study reveals that the satisfaction of students on e-learning experience during the pandemic is significantly correlated to gender. The study further shows that three dominant variables, namely perceived usefulness, perceived ease of use, and technological factors are significant factors that influence the satisfaction level of student's learning in the e-learning environment. The findings of the study will be beneficial to policymakers to identify the level of student satisfaction on e-learning education during the COVID-19 pandemic and may provide evidence-based data to improve the learning performance of students.