Purpose: The online learning environment is a function of dynamic market forces constantly restructuring the e-learning landscape's complete ecosystemcape. This study aims to propose an e-learning framework by integrating the Technology Acceptance Model (TAM) and Theory of Planned Behaviour (TPB) to predict students' Online Learning Readiness and…

During unusual times involving discontinued face to face sessions in formal education settings, mobile learning (m-learning) involving social networking sites has become a popular alternative since students are always in possession of handheld electronic devices. When connection through technology was the only option due to social distancing in…

This study was aimed at determining the factors that affect the intentions of University of the Third Age (UTA) students toward e-learning systems by using Structural Equation Modeling. For this purpose, factors such as Self-Efficacy, Experience, Social Norms, Enjoyment, and Anxiety, suggested as external factors in the General Extended Technology…

The global COVID-19 pandemic has led educational institutions to shut down and adopt e-learning practices through computer-mediated communication. An unanticipated switch of online classes from face-to-face classes isolates students from social groups and teachers, causing online disinhibition. Therefore, this paper investigates factors…

Collaborative technologies support group work in project-based environments. In this study, we enhance the technology acceptance model to explain the factors that influence the acceptance of Google Applications for collaborative learning. The enhanced model was empirically evaluated using survey data collected from 136 students enrolled in a…