A Logistic Regression Model of Students’ Academic Performance in University of Maiduguri, Maiduguri, Nigeria

Abstract

A Logistic regression model was used to investigate the factors that influence student’s performance in MTH101 (Element of Calculus) course. The data used were the grades of the (200-400) level students in MTH101 course which was collected from the department’s examination record and also by questionnaire administered to the students. The data analysis shows that the factors that significantly influence academic performance in MTH101 course are G.P.A (student’s academic Performance), course challenge (student’s attitude related to the course) and concept in the course relate to real world experience (student’s motivation). It was therefore recommended that intervention strategies to bring about improvement in the course should be focused on how to enhance academic performance, change course related attitudinal problems and provide sufficient motivation.

Key Words: ACADEMIC PERFORMANCE, LOGISTIC REGRESSION, AT RISK STUDENTS, ODDS RATIO, LEARNING IMPROVEMENT STRATEGY, COUNSELING, ATTITUDINAL PROBLEMS AND MOTIVATION.