Predicting Cloud Computing Technology Adoption in Higher Education using Technology Acceptance Model (TAM): A Case Study of Ogun State, Nigeria

Abstract

Abass, Olalere. A., Alaba, Olumuyiwa. B. and Samuel, Babafemi. O. 

Department of Computer Science, Tai Solarin College of Education, Omu-Ijebu, Ogun State.

Department of Computer Science, Tai Solarin University of Education, Ijagun, Ogun State.

olaabas@gmail.com; olumuyiwaalaba@gmail.com; princefm@live.com

Abstract Cloud computing (CC) is a nascent paradigm repositioning education system due to global usage of internet-enabled devices with high bandwidth and enhanced mobility requirements of the users. However, some stakeholders in the education system still feel reluctant to adopting CC services due to varying reasons. This paper explores the factors that distance learning system operators consider as important for the adoption and actual usage of CC services in Ogun State, Nigeria. A modified model based on Technology Acceptance Model (TAM) variables was developed. There are seven hypotheses formulated for testing. The researchers administered 389 TAM-based questionnaires to computer literate students in the institutions to obtain datasets. Multiple regression statistics was applied to analyse and test the seven hypotheses using IBM SPSS version 23. Findings revealed that perceived usefulness, ease of use, attitude to use and access cost variables are the most significant predictors of CC adoption. The findings of the study will benefit the management of tertiary institutions towards formulating policies that would promote mass education programmes like open distance learning (ODL) in Ogun State, Nigeria through CC adoption