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

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  • Samar Ghazal

    (Centre for Instructional Technology and Multimedia, Universiti Sains Malaysia, Penang, Malaysia)

  • Hanan Aldowah

    (Centre for Instructional Technology and Multimedia, Universiti Sains Malaysia, Penang, Malaysia)

  • Irfan Umar

    (Centre for Instructional Technology and Multimedia, Universiti Sains Malaysia, Penang, Malaysia)

  • Brandford Bervell

    (Centre for Instructional Technology and Multimedia, Universiti Sains Malaysia, Penang, Malaysia)

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.

Suggested Citation

  • Samar Ghazal & Hanan Aldowah & Irfan Umar & Brandford Bervell, 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), IGI Global, vol. 9(3), pages 52-71, July.
    • Handle: RePEc:igg:jitpm0:v:9:y:2018:i:3:p:52-71
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    Cited by:

    1. Waleed A. Hammood & Ruzaini Abdullah Arshah & Salwana Mohamad Asmara & Hussam Al Halbusi & Omar A. Hammood & Salem Al Abri, 2021. "A Systematic Review on Flood Early Warning and Response System (FEWRS): A Deep Review and Analysis," Sustainability, MDPI, vol. 13(1), pages 1-24, January.

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