Predicting Academic Performance of Medical Students in Iran University of Medical Sciences based on Martin Ford’s Theory of Incentive Systems

Azam Norouzi; Jalil Koohpayezade; Ladan Fata; Seyed Kamran Soltani-Arabshahi; Eshagh Moradi

doi:10.22037/jme.v17i2.21172

Journal of Medical Education for Future Demands

Former Title: Journal of Medical Education | The Official Journal of School of Medical Education and Learning Technologies

https://doi.org/10.22037/jme.v17i2.21172

Predicting Academic Performance of Medical Students in Iran University of Medical Sciences based on Martin Ford’s Theory of Incentive Systems

Author(s):

Azam Norouzi¹,

Jalil Koohpayezade^2,*,

Ladan Fata³,

Seyed Kamran Soltani-Arabshahi⁴,

Eshagh Moradi¹

1Ph.D. Student of Medical Education, Center for Educational Research in Medical Science, School of Medicine, Iran University of Medical Science, Tehran, Iran

2Associate Professor of Community Medicine, Department of Community Medicine, School of Medicine, Iran University of Medical Sciences, Tehran, Iran

3Professor of Clinical Psychology and Medical Education, Center for Educational Research in Medical Science, School of Medicine, Iran University of Medical Science, Tehran, Iran

4Professor of Medicine & Medical Education, Center for Educational Research in Medical Sciences (CERMS), Iran University of Medical Sciences, Tehran, Iran

Journal of Medical Education for Future Demands:Vol. 17, issue 2; e105612

Published online:Oct 19, 2018

Article type:Research Article

Received:Apr 23, 2018

Accepted:Jun 25, 2018

How to Cite:Azam NorouziJalil KoohpayezadeLadan FataSeyed Kamran Soltani-ArabshahiEshagh MoradiPredicting Academic Performance of Medical Students in Iran University of Medical Sciences based on Martin Ford’s Theory of Incentive Systems.J Med Edu.17(2):e105612.https://doi.org/10.22037/jme.v17i2.21172.

Abstract

Background: academic performance as the basis for judging students’ knowledge ans skills in a specific period is based on the education development program. We aimed to predict the performance of medical students based on the Martin Ford motivational systems theory.Methods: This study was a cross-sectional study on 170 medical students in science education, training and internship at Iran University of Medical Science, who were selected through random sampling.Motivational Strategies for Learning Questionnaire (MSLQ) was completed by all participants.Grade point average (GPA) was selected as academic performance. Pearson’s correlation and stepwise regression were used for data analysis.Results: There was a moderate relationship between responsive environment and academic performance (R=0.43, P<0.001), determined 19 percent (R2=0.191, P<0.001). Considering the regression coefficientof the predictor variable, the weight of responsive environment (B=0.662) indicates that the variable could predict the changes related to the students’ academic performance. So, the weight of responsiveenvironment would be in a more conservative state in generalizing the sample group to the statistical population.Conclusion: For predicting academic performance, responsive environment should be considered as hidden curriculum and educational planner should pay more attention to it.

Keywords

Rediction

Academic Performance

Martin Ford Motivational Systems Theory

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Author(s):

Azam Norouzi:[PubMed][Scholar]
Jalil Koohpayezade:[PubMed][Scholar]
Ladan Fata:[PubMed][Scholar]
Seyed Kamran Soltani-Arabshahi:[PubMed][Scholar]
Eshagh Moradi:[PubMed][Scholar]