Despite the rapid proliferation of information and communication technologies, there exists a paucity of empirical research on the causes of the current low acceptance of computer-assisted language learning (CALL) by English as a foreign language (EFL) teachers in the People’s Republic of China (PRC). This study aims to remedy this situation through the identification of factors influencing preservice EFL teachers’ intention to adopt Web 2.0 technologies for language learning purposes in the PRC. Based on the technology acceptance model and the technological pedagogical content knowledge model, a hypothesized seven-factor model was tested via structural equation modeling with data obtained from 295 preservice EFL teachers in the PRC. The results revealed that intention to use CALL 2.0 was predicted most strongly by facilitating conditions. This finding can help stakeholders to make informed decisions about various aspects of facilitating conditions to effectively enhance preservice EFL teachers’ acceptance of CALL 2.0 in the PRC.
This technology report aimed to explore preservice chemistry teachers' perception of mobile augmented reality (MAR) assisted chemical education. To this end, 15 participants were recruited from a Chinese university. They were provided access to an MAR chemistry learning app, Elements 4D, on their own mobile computing devices, and were instructed to complete some self-paced, hands-on activities. Data were collected through classroom observation and semistructured interviews. Subsequent content analyses revealed that participants generally had positive attitude toward the immersive chemistry learning experience. Meanwhile, challenges pertinent to the content knowledge and user experience were also discovered. The findings point out possible directions for more effective uptake of MAR assisted chemical education, and accentuate the importance of pedagogical thinking in developing similar educational apps.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.