Volume 12, Issue 35 (2019)                   JMED 2019, 12(35): 19-26 | Back to browse issues page


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Abdi A, Zandipayam A. Prediction of Academic Performance Based on Dimensions of Academic Identity and Flourishing among Students of the University of Medical Sciences. JMED 2019; 12 (35) :19-26
URL: http://edujournal.zums.ac.ir/article-1-1167-en.html
Department of Psychology, Payame Noor University, Tehran, Iran
Abstract:   (8730 Views)
Background & Objective: Evaluation of academic performance and recognition of effective factors in this regard can considerably help the improvement of the academic and educational states of students. This study aimed to evaluate the role of academic identity, academic vitality, and flourishing in the prediction of academic performance of students at the University of Medical Sciences.
Materials and Methods: This descriptive-correlational study was conducted on 200 students of the University of Medical Sciences, selected by random multistage sampling. Data were collected using the questionnaires of academic identity, academic vitality, and flourishing. In addition, data analysis was performed in SPSS version 21 using canonical correlation analysis and multiple regression.
Results: In this study, there was a significant relationship between the variables of academic performance and dimensions of academic identity, academic vitality, and flourishing of students (F=73.35, λ=0.644, P<0.001). In addition, the regression analysis results revealed that 36% of the variance of academic performance was explained by the predictive variables (dimensions of academic identity, academic vitality, and flourishing).
Conclusion: According to the results of the study, a rigorous and detailed plan can be defined based on the academic performance of students and their knowledge of effective factors to actualize the potential talents of students and lay the foundation for more growth and flourishing of these individuals.
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Article Type : Orginal Research | Subject: Education
Received: 2019/05/26 | Accepted: 2019/12/14 | Published: 2020/03/10

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.