This research aimed at developing hypotheses based on the unified theory of acceptance and use of technology (UTAUT) model and adopting a proposed model that considers the basic structures (performance expectancy, effort expectancy, social influence, and facilitating conditions) as it represents the technology features "distance education (DE)", which are independent variables that affect the dependent variables (behavioral intention (BI) to use DE), taking into consideration the moderating factors (gender, experience, and technological self-efficiency). The research adopted a tool to reveal science teachers' acceptance of using DE in the light of UTAUT, 120 teachers responded online to the tool. The results indicated that the teachers' acceptance of DE was high. It is possible to predict that teachers have BI to use DE, that gender has no effect on BI, and there are differences between the research model variables due to the teaching experience favoring teachers with less teaching experience.

This research study investigates how elementary teachers' mathematical knowledge for teaching (MKT) relates to their mathematical self-efficacy (MSE) and whether the MKT can predict the MSE. Researchers administered the MSE scale and the MKT test to 86 in-service elementary mathematics teachers. Two-step regression analyses results indicated that MKT and its proxy measures (teaching experience, training type, and hours) were significant predictors of elementary mathematics teachers' MSE level; however, the MKT was the strongest. Considering these results, the research recommends aligning the MKT and the MSE when building teacher preparation and professional development programs. The implications for teacher preparation and developmental programs are further discussed.