Modeling Students’ Performance: UAE University Case Study

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M. M. Yagoub, Elfadil A. Mohamed, Naeema Al Hosani, Elgilani Elshareif

Abstract

This study analyzed the relationship between student graduation scores (grade point average-GPA) and explanatory variables such as high school scores, English scores (International English Language Testing System), gender, high school stream (art or science), and students’ residence locations (rural or urban). A Durbin–Watson linear regression model and a nonparametric kernel model were used to test the relationship. Students’ graduation transcript data (2015–2020) was used. Results showed a significant correlation between GPA and English score (N = 784, R = 0.8455) and GPA and stream. This is likely because of the change in medium of instruction from Arabic in schools to English in the university.  The results could be used for admission policy and curriculum design at schools.

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