Predicting students' academic burnout based on time perspective and initial maladaptive schemas

This research was carried out as the prediction of students' academic burnout based on the time perspective and maladaptive schemas of student. The research method is applied in terms of its purpose, and the data collection method is Pearson correlation and multivariate regression analysis. The statistical population of this study is all students of Islamic Azad University of Ghods city, which is 2300 people. The sample size was 250 people and selected by convenience sampling. The data gathering tool was a questionnaire that the questionnaire was a 15-item questionnaire for students' high school burnout. The reliability of the questionnaire was confirmed using Cronbach's alpha with a coefficient of reliability of 0.83 .A 56-item Zimbardo Time Schedule Index and a short-form questionnaire of Yang's short form questionnaire were selected. Content validity of the questionnaires and data was analyzed by SPSS software. In the descriptive statistics section, using statistical indices such as flare, percentage, mean, and standard deviation , and inferential statistics for testing the hypotheses of the research, Pearson correlation test and multivariate regression analysis were used. The results showed that in the first hypothesis, between the dimensions of the perspective of time, the negative past, and the future, and pleasure present negatively and significantly predict academic burnout in the students. In the second hypothesis test, it was concluded that among the dimensions of early maladaptive schemas, cuts / rejections, ear cramps and disrupted constraints predict the students' academic burnout positively and significantly.