Predicting students' academic achievement based on emotional intelligence, personality and demographic characteristics, attitudes toward education and career prospects through the mediation of academic resilience

The aim of this correlational descriptive-analytical study is to predict students' academic achievement based on emotional intelligence, personality traits, attitudes toward education and career prospects through academic resilience mediation. The Zanjan University’s students in the academic year 2016-2017 have been selected as the statistical population. The research sample consisted of 489 people (277 females and 212 males) who are selected by cluster random sampling method. To summarize the data, a short form of the NEO-FFI Questionnaire, the Academic Resilience Scale (ARI), the Shatte Emotional Intelligence Questionnaire, a researcher-made questionnaire on attitudes toward education and career prospects are used. The proposed model was evaluated by structural equation modeling using AMOS-7 software. The results showed that the population-cognitive variables negatively predict academic achievement. Among the personality factors (openness and conscientiousness), emotional intelligence and interest in education and career prospects positively predict academic achievement. Emotional intelligence also predicts academic achievement through resilience. Educational resilience does not mediate the relationship between attitudes toward education and career prospects, gender, age, and academic achievement, and academic resilience mediates only the relationship between personality performance and academic achievement. Therefore, in order to improve the performance of students, it is recommended to teach and promote the level of resilience and emotional intelligence, conscientious personality traits and openness through workshops.