تحديد درجة القطع في مقياس الاحتراق الأكاديمي باستخدام طريقة أنجوف الموسعة، والتنبؤ به في ضوء متغيرات الكمالية الأكاديمية والشغف الأكاديمي والصمود الأكاديمي لدى طلاب الجامعة
The research aims at identifying academically burnt-out students using the extended Angoff method to set the cut-off score in the academic burnout test, which classifies students into two categories of academic burnout and non-burnout, and to reveal the relative contribution of the variables of academic perfectionism, academic passion, and academic resilience in predicting academic burnout using binary logistic regression analysis. The research sample consisted of (372) fourth-year students at the Faculty of Education, Ain Shams University enrolled in academic year (2021-2022), and the research tools were applied to them, namely: the academic burnout scale, the academic perfectionism scale, the academic passion scale, and the academic resilience scale. The results of the research showed that the cut-off score that was set using the expanded Angoff method is (46.556), which classified the sample into academic burnouts, whose percentage was (56.2%) of the sample, and non-academic burnouts, and their percentage was (43.8%) of the sample. The results also indicated the contribution of the dimensions of the variables of academic perfectionism, academic passion, and academic resilience in predicting academic burnout. Where the variables of Self-oriented perfectionism (B= -0.057, Exp(B)= 0.944), the value of Wald statistic was statistically significant at the level (0.01), harmonious passion (B= -0.123, Exp(B)= 0.884), the value of Wald statistic was statistically significant at the level (0.01), and perseverance (B= -0.310, Exp(B)= 0.733), the value of Wald statistic was statistically significant at the level (0.01) predicted academic burnout negatively and statistically significant. The results also indicated the positive and statistically significant contribution of the variables of socially prescribed perfectionism (B= 0.073, Exp(B)= 1.076), the value of Wald statistic was statistically significant at the level (0.01), and negative affect (B= 0.135, Exp(B)= 1.144), the value of Wald statistic was statistically significant at the level (0.05) in predicting academic burnout. and there was no statistical significance for the obsessive passion and reflecting and adaptive help-seeking variables prediction with academic burnout. (Published abstract)