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Introduction: Purpose of the study was to predict the academic procrastination of the master students of Shiraz University based on emotional intelligence components. Materials & Methods: In the present study, among master students of Shiraz University, 185 students (99 male and 86 female) were selected using a stratified random sampling method. The academic procrastination and Trait Meta-mood scale (TMMS) questionnaires were completed by the students under study. The data were analyzed by statistical correlation tests. Findings: The results indicated that the total score of emotional intelligence predicted academic procrastination and among the three emotional intelligence components, emotional clarity could predict academic procrastination. Discussion & Conclusion: According to these findings, it may reduce academic procrastination of students by interventions such as instructing the emotional intell-igence.

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Introduction: problem solving depends on several factors which among various factors the present research aimed to study of relation between self-regulation strategies and self-control capacity with problem solving styles.
 Materials & methods: The statistical population consisted of all students of Guilan University in 2011-2012 academic year, which among them a sample of 187 students (91 male and 96 female) were selected by random cluster sampling method and they completed March emotional self-regulation strategies questionnaire, Tangney’s self-control Scale (2004), and problem-solving styles scale.
Findings: there are significant positive correlations between adaptive problem solving styles with cognitive self-regulation strategies, focusing on situation, focusing on changing affect, decreasing negative affect and increase positive affect, and between non-adaptive problem solving styles with self-regulation strategy and decreasing negative affect. There are significant positive correlations between self-control capacity with adaptive problem solving styles, and significant negative correlation between self-control capacity with helplessness, inhibition, and non-adaptive problem solving styles. The results of regression analysis showed that increasing positive affect strategy and self-control capacity variables can explain 13 percent of variance of adaptive problem solving styles and increasing positive affect strategy, focusing on change affect strategy and self-control capacity variables can explain 14 percent of the variance non- adaptive problem solving styles.
Discussion & Conclusion: according to findings of this study by teaching problem-solving skills in each field, it is necessary to emphasized on affecting features and skills such as self-regulation strategy self-control capacity.