Determinants of Academic Performance of Undergraduate Students of Distance Learning Centre, University of Ibadan

Oct 15, 2026

Uploaded by Marglet

The study investigates the determinants of academic performance among undergraduate students at the Distance Learning Centre, University of Ibadan, Oyo State, Nigeria. Methods include descriptive statistics, cross tabulation, correlation analysis, ordinary least squares (OLS) regression, and probit regression. OLS results indicate home, school, work, and religion factors as determinants, with home, work, and religion showing positive significant effects, while school shows negative significance. Probit regression finds multiple determinants and mixed directions for significant impacts. Recommendations stress balancing work and study, and limiting religion-related effects on performance.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages15

Reading Time38 min

AccessFree to download

Introduction

Distance learning education and context

Background of distance learning in Nigeria

Research problem and prior studies

Asian Journal of Distance Education [http://www](http://www.AsianJDE.org)[.](http://www.AsianJDE.org)[AsianJDE](http://www.AsianJDE.org)[.](http://www.AsianJDE.org)[org](http://www.AsianJDE.org) © 2019 The Asian Society of Open and Distance Education ISSN 1347-9008 Asian J D E 2019 vol 14, no 1, pp 128-142 Determinants of Academic Performance of Undergraduate Students of Distance Learning Centre, University ofIbadan Aduralere Opeyemi OYELADE University ofIbadan, Nigeria [adontopdominating@gmail.com](adontopdominating@gmail.com | ORCID 0000-0001-6293-7841)[ | ORCID 0000-0001-6293-7841](adontopdominating@gmail.com | ORCID 0000-0001-6293-7841)[ ](adontopdominating@gmail.com | ORCID 0000-0001-6293-7841)ABSTRACT: The study investigated the determinants of academic performance of undergraduate students of distance learning centre, University of Ibadan, Oyo state, Nigeria. The methods used include descriptive statistics, cross tabulation, correlation analysis, ordinary least square (OLS) regression and probit regression.The result of ordinary least squareOLS regression showed that home factor, school factor, work factor and religion factor are the factors that determine the academic performance of University of Ibadan distance learning students but home factor, work factor and religion factor exert a positive significant impact on academic performance of University ofIbadan distance learning students (ß1 = 0.1473604, p = 0.078; ß3 = 0.1488303, p = 0.071 &ß4 = 0.2043724, p = 0.049) while school factorexert a negative significant impact on University of Ibadan distance learning students (ß2 = -0.192849, p = 0.095) . Also, the probit regression result showed that home factor, work factor, religion factor, management factor, peers group factor and caregivers’ factor are the factors that determine the academic performance of University of Ibadan distance learning students but work factor, religion factor, management factor and caregivers’ factor exert a positive significant impact on academic performance of University of Ibadan distance learning students (ß3 = 2.0499, p = 0.000; ß4 = 1.1501, p = 0.012; ß5 = 0.5809, p = 0.000 &ß8 = 2.2194, p = 0.000) while home factor and peer group factor exert a negative significant impact on University of Ibadan distance learning students (ß1 = -1.6998, p = 0.000 &ß6 = -1.0382, p = 0.160).The study recommended that distance learning Centre (DLC) students should not allow their work to intervene with their academic performance. They should create time for both their work and their academic so that both will not affect each other. Students of DLC should not allow their religion to affect their performance in school. Since majority of students under the DLC programme are working class, the management should put this into consideration for their students to perform very well. KEYWORDS: Academic Performance, DLC, OLS and Probit Regression 1. INTRODUCTION : Distance learning education, structured learning in which the student and instructor are separated by time and place, is currently the fastest growing form of domestic and international education. Distance learning has been defined as all learning that takes place where there is no face-to-face interaction between students and teachers (Babalola and Babalola, 2014) . It suggest an educational approach designed to reach This work of the Asian Journal of Distance Education is available under Creative Commons Attribution-ShareAlike 4.0 International License ASIAN JOURNAL of DISTANCE EDUCATION learners in their homes/offices/shops etc., provide learning resources for them to qualify without attending formal classes in person, or create opportunities for lifelong learning, no matter where or when they want to study (Ojoet al., 2013) . The passing of the Open University bill into law in Nigeria in 1983 marks the beginning of distance learning education in Nigeria. Since then the academic performance of students in distance learnin

FAQs

Which factors were found to determine academic performance in the OLS regression results?

Home factor, school factor, work factor, and religion factor were identified as determinants. Home, work, and religion showed positive significant effects, while the school factor showed a negative significant impact.

What does the probit regression indicate about determinants of academic performance?

Home, work, religion, management, peers group, and caregivers’ factors were found to determine academic performance. Several of these factors had positive significant impacts, while home and peers group also showed negative significant impact in the results reported.

What recommendations does the study make to improve distance learning students’ academic performance?

Students should ensure work does not intervene with academic performance and should create time for both work and study. They should also prevent religion from affecting school performance, and management should consider that many DLC students are working class.

Oct 15, 2026

Uploaded by Marglet