Exploring students’ satisfaction in online learning using regression analysis

Since the COVID-19 outbreak, the majority of universities have implemented an online learning system to ensure that students, particularly those pursuing diplomas, can continue their education. Transitioning from traditional in-person training to online instruction is a challenging process. Additionally, using e-learning tools exposes students to specific challenges. Due to these transitions, participation is mandatory, and students must adapt to the workload and rapid changes. The purpose of this study is to investigate the factors that affect students’ satisfaction with online learning, including the course assessment, lecturer performance, and lecturer-student interaction. To determine the connection between satisfaction with online learning and the other three criteria, approximately 100 diploma students from diverse programs at UiTM Machang, Kelantan, participated in a quantitative survey. The findings demonstrated that lecturer-student interaction and course assessment could raise students’ satisfaction with online learning.