Predicting Academic Burnout Based on Achievement Goals and Self-Regulated Learning

The purpose of this study was to investigate the role of selfregulated learning and achievement goals in predicting academic burnout among 384 male and female students of payamenoor university of shiraz in the 2018. the research method was correlational. multistage random cluster sampling was used to select the sample. finally, 204 female students and 180 male students were included in the study sample. data collection was performed using the pentrich and de groot selfregulated learning strategies questionnaire, middleton and midgley goalorientation questionnaire, and maslash burnout inventory. structural equation modeling confirmed the good fit of the initial theoretical model with the data, and after modifying the model, excellent fit of the final model to the data was obtained. the results indicated selfregulated learning leads to students' motivational orientation and this can lead to longterm academic achievement and success or stress and burnout in students. in addition, the achievement goals have a critical role in predicting academic burnout because of its impact on the right or wrong approach of learning.