Due to the COVID-19 pandemic, education has recently undergone a rapid digitalization, necessitating the simultaneous adoption of several technologies by educators for online learning and instruction. This study will build a model that predicts student teachers’ extensive technology acceptance by extending the technology acceptance model (TAM) with their technological pedagogical content knowledge (TPACK) and innovativeness. The survey (N = 870) will be used to collect the data for this study. The TAM has been shown to be a useful instrument for tracking the uptake of new technologies across a range of fields, including education. TAM, however, has been primarily used to gauge user acceptance of a certain technology deployment. With the development of numerous technologies, this study has expanded TAM to measure student teachers’ technology-enabled practice. The suggested model explains the behavioural purpose of student teachers to teach online. Our research identified the interrelated influences of TPACK, perceived utility (PU) and innovation on teachers’ behaviour and intention to teach online following the epidemic. In addition, the study found that student teachers’ TPACK and PU were significantly predicted by their training and institutional support. This study’s model conceptualization, which combines elements based on personal competence – including TPACK and innovativeness and information technology-based constructs – is original. Additionally, our work adds to the growing body of research on student teachers’ use of online instruction in the post-pandemic age.
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