Welcome to the InfoSci Platform
Reference Hub13
Acceptance and Satisfaction of Learning Management System Enabled Blended Learning Based on a Modified DeLone-McLean Information System Success Model

Acceptance and Satisfaction of Learning Management System Enabled Blended Learning Based on a Modified DeLone-McLean Information System Success Model

Samar Ghazal, Hanan Aldowah, Irfan Umar, Brandford Bervell
Copyright: © 2018 |Volume: 9 |Issue: 3 |Pages: 20
ISSN: 1938-0232|EISSN: 1938-0240|EISBN13: 9781522543343|DOI: 10.4018/IJITPM.2018070104
Cite Article Cite Article

MLA

Ghazal, Samar, et al. "Acceptance and Satisfaction of Learning Management System Enabled Blended Learning Based on a Modified DeLone-McLean Information System Success Model." IJITPM vol.9, no.3 2018: pp.52-71. http://doi.org/10.4018/IJITPM.2018070104

APA

Ghazal, S., Aldowah, H., Umar, I., & Bervell, B. (2018). Acceptance and Satisfaction of Learning Management System Enabled Blended Learning Based on a Modified DeLone-McLean Information System Success Model. International Journal of Information Technology Project Management (IJITPM), 9(3), 52-71. http://doi.org/10.4018/IJITPM.2018070104

Chicago

Ghazal, Samar, et al. "Acceptance and Satisfaction of Learning Management System Enabled Blended Learning Based on a Modified DeLone-McLean Information System Success Model," International Journal of Information Technology Project Management (IJITPM) 9, no.3: 52-71. http://doi.org/10.4018/IJITPM.2018070104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

The utmost reason for this article is to present a detailed assessment of the salient antecedents(computer anxiety, technology related experience, computer self-efficacy, quality of service, quality of system, quality of system's output information, perceived usefulness and perceived ease of use) in determining students' approval and onward contentment towards using LMS in a blended learning environment. In view of this, the study employed a quantitative research design utilizing a questionnaire as the data collection instrument. Data was then obtained from 174 undergraduate students with Partial Least Squares Structural Equation Modelling (PLS-SEM) technique used for data analysis. The study revealed indicators such as perceived usefulness, the quality of the system and computer self efficacy as fundamental determinants of students' acceptance and satisfaction with blended learning. The study recommended among others that in order to achieve satisfaction and acceptance towards LMS usage for blended learning in higher education, institutions need to pay attention to these crucial variables prior to full implementation.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.