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…

This study explores the effect of user and system characteristics on our proposed web-based classroom response system (CRS) by a longitudinal design. The results of research are expected to understand the important factors of user and system characteristics in the web-based CRS. The proposed system can supply interactive teaching contents,…