Descriptive Statistics Analysis on The Students' Satisfaction of ODL: A Case Study among UiTM Students in Tapah Campus

Abstract

The Covid-19 pandemic swept across the country at the end of 2019. The WHO has declared that covid-19 germ disease is a dangerous epidemic. The whole country is experiencing a shutdown period to curb the spread of the epidemic. Educational Institutions are also no exception to curbing the spread of this infectious disease. Thus, the change in the learning and teaching process that takes place face-to-face and physical should be carried out through online distance learning (ODL). The level of student satisfaction needs to be reviewed to ensure that the teaching and learning process can be implemented effectively. UiTM also takes the online distance learning method as a delivery method to students. The objective of this paper is to analysis the level of satisfaction of students towards online distance learning using descriptive statistics analysis. A set of questionnaires is distributed among Part 1 students which were the first timer experience of ODL. The questionnaire was divided into 2 sections, which were Section A for demography of respondents and Section B for students’ satisfaction of ODL. 100 respondents are participated in this study. The results highlighted that based on students’ dimension, technology characteristics and instructor characteristics show that most of respondents are highly satisfied. Hence, the online distance learning give a positive impact towards students’ satisfaction. These results also show an impressive achievement to the Education 5.0.