Forecasting Students Performance: A Case Study at Tabuk University

Mohamed Zidan, Atif Ali Yassin, Gafar Haroun

Abstract: The focus of this article is to use the absorbing Markov Chain model as a forecasting tool to investigate the student’s progression at the Mathematics Program, Tabuk University. In this article we consider the case of students populations that are structured only by their academic stages. Our sample consist of the archived academic records of all students enrolled at the Mathematics Program during the academic year 2016-2020, we then followed students progression across the different academic stages over the course of four years.

Keywords: Markov Chains, students progression, transition matrix