Purpose: This study aims to evaluate students' intention and actual use (AU) of artificial intelligence (AI) tools' to discover how the power of AI influences learning and academic success. Design/methodology/approach: This paper used the unified theory of acceptance and use of technology (UTAUT) to develop a structural equation model (SEM) and…

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…

The swift incorporation of artificial intelligence (AI) into higher education has significantly propelled the digital transformation of education. This advancement is crucial for educators aiming to augment teaching quality through AI technologies, such as ChatGPT. However, the acceptance of ChatGPT among college students remains underexplored.…

The aim of this study is to investigate the determinants that affect undergraduate students' behavioral intentions to continue learning computer hardware concepts utilizing a Metaverse-based system. The current study examined the factors influencing students' adoption of Metaverse technology at the tertiary level using a model based on the…

The Early Identification System (EIS) was developed to overcome many of the usability challenges of school-based behavior screeners. Several prior studies have documented the technical adequacy of the EIS. The present study expanded this work by examining the use, relevance, values implications, and social consequence of EIS implementation in a…