میلاد نادری

Due to the fact that job satisfaction plays a crucial role in teacher attrition, numerous scholars have investigated the predictive variables for occupational well-being in educational contexts. However, this research area has been relatively ignored in higher education contexts. To fill this lacuna, this research employed an explanatory sequential mixed-methods design to examine the predictive roles of teacher mindfulness and self-efficacy in impacting the job satisfaction of English instructors in various Iranian universities. In the quantitative phase, data from 226 EFL instructors were analyzed following a rigorous screening of an initial pool of 234 participants who completed measures of the focal constructs. Structural equation modeling (SEM) confirmed that teacher mindfulness and self-efficacy significantly predicted job satisfaction, with self-efficacy emerging as the strongest predictor. Furthermore, mindfulness exerted a significant indirect effect on satisfaction through the mediation of self-efficacy. In the subsequent qualitative phase, follow-up semi-structured interviews were conducted with a purposive subsample of 12 instructors to clarify the mechanisms underlying these statistical paths. Thematic analysis revealed that mindfulness facilitates a "psychological pause" through affective detachment, while self-efficacy provides the pedagogical agency necessary to maintain value-action congruence despite institutional stressors. These results suggest that mindfulness acts as a cognitive precursor that enhances pedagogical presence and professional resilience. The implications for developing targeted onboarding strategies and mindfulness-based interventions in higher education are discussed.

With the widespread use of technology in today's society, the effective integration of technology in education has become a vital area of research, particularly in teacher education. Teacher variables play a crucial role in the successful incorporation of technology in the classroom. Consequently, several empirical studies have explored the factors influencing teachers' intentions to use technology. This study aims to contribute to this research by examining the roles of teacher self-efficacy and technology self-efficacy in predicting technology use among Iranian EFL instructors. A sample of 353 Iranian EFL instructors participated in an online survey, completing three self-report scales measuring the mentioned constructs. Structural Equation Modeling (SEM) was employed to analyze the collected data and test the relationships between the variables. The findings indicated that teacher technology self-efficacy had a more significant impact on intentions to use technology compared to teacher self-efficacy. Both predictor variables, however, showed unique effects on intentions to use technology. The paper concludes with practical implications and recommendations for further research.

Since teachers’ creative behavior or innovation-promoting inclination affects the quality of education, some recent studies have aimed to explore teachers’ willingness to practice teaching for creativity (TfC) in various education contexts. As an attempt to identify the correlates of TfC, the aim of this research was to test a model of model of TfC in EFL contexts based on teachers’ creative self-efficacy and their growth mindset. A number of 472 Iranian English as a Foreign Language (EFL) teachers partook in this survey as the participants. The electronic versions of the questionnaires for the three latent variables were administered to the participants. Structural equation modelling was utilized to test the suggested model of TfC in the EFL context. The results indicated that both teachers’ creative self-efficacy and their growth mindset substantially influenced EFL teachers’ TfC although the contribution of creative self-efficacy was greater than. Additionally, teachers’ growth mindset had a slight effect on their creative self-efficacy. These findings can offer remarkable implications for EFL teacher educators