Estimation of GPA at Undergraduate Level using MLR and ANN at Arab International University During the Syrian Crisis: A Case Study

Abstract

The aim of the current study is to estimate the graduation grade point average (GPA) at the Arab International University (AIU). The importance of this study is that it is the first of its kind in Syria, particularly under the conditions of the bitter war, which has not yet come to its end. The sample of the study consists of data collected from AIU registry system, which covers students of six faculties from both sexes over a period of 5 years, i.e., between 2014 and 2018. The variables of the study include the student’s high school GPA, the source of the student’s certificate, and the gender of the student (GR). MLR and ANN approaches were employed in the analytical study. The correlation coefficients and several statistical criteria were calculated to evaluate the developed models. Based on the results, it can be concluded that the male students were among the key factors affecting the output, i.e., GPA. In addition, ANN tool is more accurate when the estimation of GPA value is concerned. Further, re-evaluation of this study can be done in future particularly when the male student’ trepidation disappears as stability and safety return to the country.

Comparative Analysis of Naive Bayes and K-NN Approaches to Predict Timely Graduation using Academic History

“…Data from six faculties were gathered from the university's registration system, encompassing variables like high school GPA, source of student certificates, and student gender (GR). Utilizing Multiple Linear Regression (MLR) and Artificial Neural Network (ANN) methods, it was revealed that male students notably impact GPA, highlighting their significance as a pivotal factor in academic outcomes [12]. Another study focused on secondary students' academic data in mathematics, evaluating accuracy, precision, recall, and f-1 score.…”

“…This research data was obtained through formal requests for information from the Informatics Postgraduate study program. The data submitted for research purposes comprises university data, the origin of the study program, undergraduate GPA, master's GPA, TOEFL scores, and the length of study [12]. In comparative analysis, this research aims to identify the relative influence of each variable on predicting student graduation.…”