Background Despite the focus of many global education systems on science, technology, engineering, and mathematics (STEM) education, research on teachers' concerns about this relatively new educational phenomenon remains scarce. Purpose This study used the concerns-based adoption model as the theoretical framework to examine the primary concerns expressed by teachers about STEM education and identified a typology of teachers based on the response patterns of their concerns. Sample A regionally representative sample of 331 primary and secondary school teachers of STEM-related subjects in Hong Kong participated in this study. Design and methods Data were collected from the teachers through an online, self-reported survey. Latent class analysis was used to profile teachers' concerns about STEM education in this study, and multinomial logistic regression analysis was performed to regress the latent class outcome variable on the covariates. Results The majority of the teachers reported high levels of concern at all five stages of STEM education implementation, namely evaluation, information, management, consequence, and refocusing. Latent class analysis revealed three classes of teachers who were extremely concerned (49.1%), considerably concerned (43.5%), or moderately concerned (7.4%) about STEM education. Multinomial logistic regression analysis indicated that the teaching sector (primary or secondary) and participation in STEM education training significantly contributed to the prediction of the latent class outcome variable. Conclusion Given that 96% of the teachers in this study were trained in STEM education through workshops, seminars, courses, and trips, these findings highlight the necessity of designing personalized professional learning experiences for teachers and provide empirically supported evidence to indicate teachers' preparedness and readiness to adopt STEM education as an educational innovation and directions for future research in related areas. This

Pre-service mathematics teachers (PSTs) enter university with diverse beliefs and understandings of teaching and learning; yet, they may not be aware of how these conceptions are related to their epistemological and efficacy beliefs. This study explored how the mathematical beliefs, mathematics self-efficacy, and mathematics teaching efficacy of PSTs predict their teaching and learning conceptions. Participants were 80 PSTs (59.7% men and 40.3% women) who were studying in a 5-year full-time undergraduate degree program at a comprehensive research university in Hong Kong. Multiple regression analyses were performed to investigate the relationships between the PSTs' teaching and learning conceptions and various predictors. The results indicated that mathematical beliefs and personal mathematics teaching efficacy, a component of mathematics teaching efficacy, predicted traditional conceptions. Mathematics self-efficacy and mathematics teaching outcome expectancy, another component of mathematics teaching efficacy, predicted constructivist conceptions. This study yields insights into the different roles of mathematical beliefs, mathematics self-efficacy, and mathematics teaching efficacy in explaining and predicting the teaching and learning conceptions among PSTs, which demonstrates the potential to inform and improve PSTs' professional learning and development. Copyright © 2022 Springer.

This paper describes ongoing research on teachers’ concerns about STEM education in Hong Kong. The work is being conducted under the auspices of a government-funded project. A large-scale, regionally representative sample of primary and secondary school teachers in Hong Kong will be selected, and their key concerns about STEM education will be surveyed. To the best of our knowledge, the study is the first to examine teachers’ concerns about STEM education in Hong Kong. The findings of the study will make significant and original contributions to policymakers, teachers, and researchers. Copyright © 2020 by the Association for the Advancement of Computing in Education (AACE).