Analysis of effective factors in the acceptance rate of E-learning at the time of Covid-19 outbreak

Abstract

The purpose of this study is to investigate the effectiveness of online education adoption in e-learning during the COVID-19 pandemic. Examining students' behavioral intentions to utilize e-learning in the future is essential for identifying the practical application of digital skills in an e-learning environment. Therefore, this study explores student satisfaction, user-friendliness, and the effectiveness of online education adoption in e-learning. In total, the perspectives of 200 students on online course content were assessed using a standardized questionnaire. The influencing factors were tested through hypotheses using Structural Equation Modeling (SEM) and Partial Least Squares (PLS). Additionally, to identify the factors affecting the acceptance of online education during the COVID-19 outbreak, the Pearson correlation test and a classification method were employed. The results revealed that perceived usefulness is a key factor influencing the effectiveness of online education in e-learning systems. Perceived satisfaction also plays a role in the acceptance of online education in e-learning. Furthermore, the perceived usefulness can be affected by the quality of the e-learning system. Among all factors, online education had the greatest impact on perceived usefulness. However, the results indicate that interaction is not considered a significant factor. Additionally, the accuracy evaluation parameters of the proposed model were superior to those of the baseline method.