Current educational trends leverage artificial intelligence (AI) to provide high-quality teaching and enhance students' learning competitiveness. This study aimed to evaluate the acceptance of artificial intelligence generated content (AIGC) for assisted learning and design creation among art and design students. Based on an extended technology…

Automated Writing Evaluation (AWE) has been widely applied in computer-assisted language learning (CALL) in China. However, little is known about factors that influence learners' intention to use AWE. To this end, by adding two external factors (i.e. computer self-efficacy and computer anxiety) to the technology acceptance model (TAM), we surveyed…

Research on mobile learning indicates that students perceive mobile devices mainly as communication and entertainment tools. Therefore, a key factor in successful mobile learning implementation is the initial measurement of students' acceptance of those devices into their learning. Countless language applications available suggest that mobile…

Aim/Purpose: This paper utilizes the Technology Acceptance Model (TAM) to examine the extent to which acceptance of Remote Virtual Computer Laboratories (RVCLs) is affected by students' technological backgrounds and the role of collaborative work. Background: RVCLs are widely used in information technology and cyber security education to provide…

This research investigated the factors predicting nonprofit employees' likelihood of attending online training sessions using a simulated training announcement and the Technology Acceptance Model. The research sampled nonprofit employees from a human services organization (n = 101). Analyses were used to determine the relationship between…

With the development of the Internet in the era of knowledge-driven economy, e-learning is experiencing rapid growth. The online learning course websites are drawing more attention as well. This research combines the innovation diffusion theory and the technology acceptance model, and adds two research variables, perceived system quality and…