Due to ongoing and severe teacher shortages, preparing and sustaining a skilled special education teacher (SET) workforce is a top policy priority. Understanding predictors of SETs' intent to leave is crucial for policy makers and school leaders alike, as they seek to develop interventions to support retention efforts. In this study, we examined…

The aim of this study was to investigate the extent to which pre-service teachers' belief in academic engagement, student burnout, and proactive strategies predicts academic self-efficacy through machine learning approach. The study group consisted of 446 pre-service teachers at Sivas Cumhuriyet University, Faculty of Education. The Academic…

The current research aims to explore the impact of Science and Mathematics teachers' self-efficacy on their intentions to leave through the mediating effects of their affective wellbeing (stress, burnout, and depression). Data were collected from 329 teachers of Science and Mathematics who were selected randomly with a clustered sampling method…

This study investigated the constructs of job satisfaction, self-efficacy, burnout and path of certification in relation to attrition of special education teachers. A correlational, predictive design assessed the five facets of the abridged Job Descriptive Index and the abridged Job in General survey, the factors of the Teacher Self-Efficacy…