A Model for Predicting Academic Performance Based on Emotional Intelligence, Problem-Solving Skills and Achievement Motivation with the Mediation of Learning Strategies (Cognitive and Metacognitive) in Smart and Ordinary Schools’ Students

Abstract

The general aim of the present research was to develop a model for predicting academic performance based on emotional intelligence, problem-solving skills and achievement motivation with the Mediation of Learning Strategies (Cognitive and Metacognitive) in students of smart and ordinary schools. The research method was correlational with a prediction type. The population in the current research included all the secondary school students of Tehran, among which 583 students were selected for the study sample through multi-stage cluster sampling method. For gathering the data, Hermans achievement motivation questionnaire (1970), Social Problem Solving Inventory-Revised Short Form (SPS-R: SF), Learning Strategies Questionnaire (Karami et al, 2002), Bar-On Emotional Quotient Inventory (2000) and Academic Performance Questionnaire of Dortaj (2004) were used. Findings suggested that the direct and indirect effect of emotional intelligence and achievement motivation on academic performance of students of smart schools is significantly higher than its effect on the academic performance of students of ordinary schools. No significant difference was observed between the direct and indirect effect of problem solving skills on academic performance of students of smart and ordinary schools. Findings of the present research had useful implications for policy makers in the education area.

Keywords

• academic performance
• emotional intelligence
• smart schools