E-learning evaluation during the COVID-19 pandemic era based on the updated of Delone and McLean information systems success model

Abstract

The Covid-19 pandemic makes the government adjust the learning system from face-to-face to e-learning amid restrictions on mass social contact. We develop the Updated Delone and McLean information systems success (D&M ISS) model by incorporating external factors. The newly added constructs include student capability, teacher capability, and social influence. We employed partial least squares structural equation modeling (PLS-SEM) on 427 respondents gathered from online survey questionnaires completed by undergraduate and postgraduate students during the pandemic. The study identifies that user satisfaction depends on improving the system’s quality, quality of information, teacher’s capability, students’ capability, and social impact. The study also finds a reciprocal relation between students’ satisfaction and net academic benefit. The e-learning system should be enhanced by improving the system’s quality and students’ satisfaction, quality of information, quality of service, and student and teacher capability that do not influence the use of e-learning. This paper provides valuable theoretical and practical implications for regulators and researchers to evaluate e-learning success.