Predicting Academic Engagement Based on Problem Solving Styles, Self-Control, and Emotional Expression among University Students

The purpose of the present study was to predict academic engagement based on problem solving styles, self-control and emotional expression among students of Farhangian University.

The research method was correlation and the statistical population included all the students of Ilam Branch of Farhangian University in the academic year 2019-2020. The sample consisted of 217 persons (94 girls and 134 boys) who were selected according to Morgan table by proportional random sampling. And they responded to the Lam et al. academic engagement (2014), the Cassidy and Long problem solving styles (1996), Tangney et al. self-control (2004) and King and Ammons emotional expression (1990) questionnaires.

The results of logistic regression analysis showed that positive problem solving (p <0.01), negative problem solving (p <0.01), self-control (p <0.01) and emotional expression (p <0.03) predicted academic conflict in students.

Based on the findings, it can be concluded that problem solving styles, self-control and emotional expression play a role in students 'academic engagement and can be considered as important variables affecting students' academic engagement.