Recently, the coronavirus disease 2019 (COVID-19) pandemic has led to rapid digitalisation in education, requiring educators to adopt several technologies simultaneously for online learning and teaching. Using a large-scale survey (N = 1740), this study aims to construct a model that predicts teachers’ extensive technology acceptance by extending the Technology Acceptance Model (TAM) with their technological pedagogical content knowledge (TPACK) and innovativeness. TAM has been a valuable tool to measure the adoption of new technology in various contexts, including education. However, TAM has been designed and principally applied to assess user acceptance of a specific technology implementation. This study has extended TAM to measure teachers’ technology-enabled practice (online teaching) with the adoption of various technologies. The proposed model explains teachers’ behavioural intention to teach online with a good fit. Our findings revealed the collective effects of TPACK, perceived usefulness (PU) of technology, and innovativeness on teachers’ behavioural intention to teach online post-pandemic. Moreover, the study identified training and support from school as a significant predictor for both teachers’ TPACK and PU. The novelty of this study lies in its model conceptualisation that incorporates both information-technology-based constructs and personal-competence-based features, including TPACK and innovativeness. Furthermore, our study contributes to the growing body of literature that addresses the online teaching adoption by schoolteachers in the post-pandemic era.

COVID-19 has caused unprecedented challenges for the higher education community worldwide, one of which is that students have had to maintain their learning while dealing with the crisis conditions. However, a systematic understanding of students’ individual crisis management still remains absent despite its importance. The newly emerged and ongoing phenomenon has leveraged the role of crisis management in the context of education, which is even more essential with the forthcoming uncertain future. This study investigates factors related to students’ crisis management self-efficacy in higher education during the pandemic. Particularly, survey data were collected from 387 undergraduate students to investigate the effects of innovative behaviour and problem-solving skills on crisis self-efficacy. Structural Equation Modelling was applied to conceptualise and empirically test a model that examines the relationship between crisis self-efficacy and related factors. Moreover, the study aimed to assess the role of technology abilities in students’ crisis management self-efficacy and academic performance during the COVID-19 pandemic. The research results provided some compelling evidence for the positive effects of innovative behaviour and problem-solving skills on crisis management self-efficacy. This study also discusses some feasible implications for higher education policy and future research directions.

No abstract