This research examines the effects of e-learning on academic performance and student engagement in universities. Through a quantitative approach, data were gathered from a sample of 200 students drawn from a population of 1,050. Descriptive statistical procedures, i.e., mean, standard deviation, frequencies, and percentages, were used together with inferential tests like ANOVA and regression to test the association among variables. The results confirm that a reliable internet connection, access to digital devices, and technical support significantly improve students' experience through online learning. It suggests the integration of mixed-method studies with long-term designs in terms of developing a more complete profile of online courses of study. It also recommends that the use of good teaching practices, strong student support services, and equitable institutional policies should be embraced to enhance motivation and attainment. All these conclusions are essential to teachers and policymakers who aspire to get the most out of online learning.
Tasneem et al. (Wed,) studied this question.