Using composite structural equation modeling to examine high school teachers' acceptance of E-learning after Covid-19
Rethabile Rosemary Molefi, Musa Adekunle Ayanwale
Abstract
Electronic learning (e-learning) is a broader approach to learning that brings new opportunities for teaching and learning in many fields of education compared to the face-to-face classroom environment. The purpose of this study is to explore high school teachers’ acceptance to continue teaching through e-learning platforms after COVID-19. Based on the framework of a unified theory of technology acceptance and use of technology, this study investigates the research questions in the context of Lesotho. The study adopted a quantitative approach, with a total number of 300 questionnaires collected from high school teachers. The result was analyzed using composite structural equation modeling. According to the study, instructors' acceptance of e-learning is influenced by several factors, which in turn has a significant impact on teachers' behavioral intentions in Lesotho. As a result of the study, individual challenges associated with using e-learning platforms were identified. Keywords: Composite-SEM; educational quality; e-learning; self-efficacy; technology acceptance.