Proposed academic students' performance prediction model: A Malaysian case study

Abstract

This paper describes the performance of Engineering Electrical Degree students at the Faculty of Electrical Engineering, Universiti Teknologi MARA, Malaysia. The study was based on longitudinal progress of Cumulative Grade Point Average (CGPA) for every semester until graduation for three consecutive intakes of matriculation students namely July 2005, July 2006 and July 2007. Then, the same methodology was applied to consecutive intakes of students that are Diploma holders for July 2006, July 2007 and July 2008. The outcomes of the research indicates that the there is a correlation between students abilities in semester one with the final overall academic performance irrespective of gender. It can be ascertained that the abilities and strong engineering fundamentals are strong factors in influencing the overall academic performance. A prediction model was then proposed to predict the overall students' performance.