A Multivariate Analysis of Learner Attitude, Usability, Learning Environment, and Infrastructure in Determining E-Learning Satisfaction and Effectiveness

Abstract

E-learning has brought about a change in conventional teaching techniques that stressed flexibility, critical thinking, and providing learners with fast feedback. This change has been brought about by the rapid expansion of technology, which has propelled the recent emergence of e-learning. Several educational institutions, including colleges, schools, basic and secondary schools, and higher education centers, were forced to close their doors as a result of the Covid19 outbreak. The new model for education in the modern day is e-learning, which is becoming more popular. To put it another way, the conventional approach is being phased out in favor of the one that is now being used during this pandemic. During the course of the pandemic, the use of web-based educational programs became highly common. The purpose of this research is to evaluate the link between independent and dependent characteristics, including learner attitude, ease of use, infrastructure support, evaluation of the efficacy of the learning environment, and overall satisfaction with the learning experience. This study is a cross-sectional investigation. There has been a collection of both primary and secondary data. For the purpose of this research, a snowball sampling strategy was used, and there were a total of 300 respondents. Using the Partial Least Squares (PLS) software, the model was put through an empirical test in the study that is now being presented.