Predicting Academic Performance using Career Decision-Making Self-Efficacy, Career Adaptability and Sleep Health among Students

Document Type : علمی - پژوهشی

Authors

1 Assistant Professor, Counseling Department, Faculty of Literature, Humanities and Social Sciences, Science and Research Unit, Islamic Azad University, Tehran, Iran.

2 Assistant Professor, Department of Psychology and Education of Exceptional Children, Faculty of Literature, Humanities and Social Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

Aim: This study aimed to predict the academic performance of college students based on self-efficacy in career decisions, career adaptability, and sleep health. Methods: the research methmethods werecriptive survey and correlational. 320 students in Tehran were selected through a random sampling method, and they responded Career Adapt-Abilities Scale, Career Decision Self-Efficacy Scale, Sleep Health Scale, and Academic Performance Rating Scale. Data were analyzed using Pearson correlation analysis and simultaneous regression method. Result: The results showed a significant and positive relationship between sleep health, self-efficacy in occupational decisions, occupational adjustment skills, and academic performance evaluation. The independent variables can predict academic performance changes in the regression model. Conclusion: According to the results, healthy sleep, self-efficacy in career decisions, and career adaptability play important roles in improving academic performance, career prospects, and promoting academic performance.

Keywords

References

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