A SEM Analysis of Predictive Factors Underlying Iranian EFL Teachers’ Motivation

The researchers in the current study were pinpointing the factors contributing to teacher motivation. Among the myriad of variables which were deemed liable to influence teacher motivation, the researchers opted for teacher motivation, namely teacher burnout, self-efficacy, emotional intelligence, and teaching style as the main predictive variables for teacher motivation. To conduct the study, a total of 200 English language teachers were asked to fill the study questionnaires. The target group encompassed teachers from both public school and language school contexts. The teachers were from both genders and came from a variety of age groups, years of experience, and language backgrounds. The participants were recruited from 10 cities across West Azarbaijan. To facilitate the data collection process, the questionnaires were sent to participants via Google forms link. The obtained data were analyzed through SEM (Structural Equation Modeling) to find the exact interrelationships between the four variables considered as predictors and teacher motivation. The findings pointed toward the existence of significant paths from burnout, self-efficacy, emotional intelligence (EI), and teaching styles toward teaching motivation. Additionally, EI, self-efficacy, and teaching styles were depicted to be significant predictors for burnout. The path from EI to self-efficacy was also significant. Furthermore, teaching style was significantly predicted by EI and self-efficacy. Finally, the findings obtained via interview analysis demonstrated that teacher motivation can be influenced by a variety of factors including low income and lack of environmental/social support, which can, in turn, lead to increased levels of burnout and hence diminish teaching efficacy and hence motivation. The implications of the findings are discussed throughout the paper.