Are Demographic Data affecting the Student's Graduation? An Analytical Study Using Data Mining Techniques

Abstract

The research aims at analyzing the reality of graduates of the Faculty of Arts and Sciences Kasr Khiar, and to study the reasons of delay in the graduation, using data mining techniques of the demographic data by the decision tree and clustering algorithms in order to derive new forms of knowledge to help decision makers in developing the educational process. Sample data was collected from final stages from different departments, these data represent the demographic attributes to be analysed to lead to a set of results that determined the reasons of the delay in graduation, such that the age, kind of secondary school and the department. Because the research focused on the student, a series of recommendations were placed to urge decision makers in the faculty to focus on admission’s policy and build an electronic data warehouse containing data of all students enrolled.