Open AccessE-Learning Delivery Methods: Predictors of Satisfaction by Students of Nigerian Universities
Author(s) -
Janet O. Adekannbi
Publication year - 2019
Publication title -
asian review of social sciences
Language(s) - English
Resource type - Journals
ISSN - 2249-6319
DOI - 10.51983/arss-2019.8.3.1604
Subject(s) - descriptive statistics , service quality , quality (philosophy) , medical education , distance education , test (biology) , psychology , service delivery framework , regression analysis , service (business) , computer science , marketing , statistics , business , mathematics education , medicine , mathematics , paleontology , philosophy , epistemology , biology
Learners’ satisfaction is an important factor to the success of any e-learning programme. This study presents findings from students’ assessment of the e-learning platforms used at Distance Learning Centre University of Ibadan, Nigeria. Survey design was used. Data was collected from 351 students in 100 and 200 levels of the Centre using the questionnaire. Frequency and percentage distribution were used for descriptive statistics, while, multiple regression was performed to test the hypotheses. The results showed that Information quality, system quality and service quality were not significant predictors of student’s satisfaction except with the Email where information and service quality influenced overall satisfaction. Challenges to students’ use of the platforms include inadequate power supply, poor telecommunication network, high cost of self-provided power supply and high cost of owning and maintaining e-learning devices.