Measuring e-learning systems success

PhD Thesis


AL-Sabawy, Ahmed Younis. 2013. Measuring e-learning systems success. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
Title

Measuring e-learning systems success

TypePhD Thesis
Authors
AuthorAL-Sabawy, Ahmed Younis
SupervisorCater-Steel, Aileen
Soar, Jeffery
Institution of OriginUniversity of Southern Queensland
Qualification NameDoctor of Philosophy
Number of Pages548
Year2013
Abstract

The education sector has been radically affected by developments in information technology. In the education arena, substantial funds have been invested in the systematic development of technology infrastructure. E-learning is believed to be the main platform for adopting and using new and more advanced IT in the education sector. However, measuring the success of e-learning systems is one of the key issues facing universities and educational institutions. Although considerable attention has been paid to the information systems success issue, there remain arguments about which factors are the most telling in measuring information system success. The issue of evaluation of the success of information systems generally, and e-learning systems in particular, has become more complicated due to the differing interests and needs of stakeholders. Different groups of stakeholders deal with e-learning systems in different ways - for instance, students, academic staff, ICT staff, management, and software developers. These stakeholders have substantially different objectives and often there are conflicts between their aims. This study proposes an evaluation methodology model to assess e-learning systems success.
The model proposed is one which includes eight constructs: IT infrastructure services; system quality; information quality; service delivery quality; perceived usefulness; user satisfaction; customer value; and organisational value. A range of stakeholders such as students, academic staff, and ICT staff are considered in this model. Three instruments were designed to measure the perceptions of three different stakeholders towards e-learning system success. A quantitative study was conducted at University of Southern Queensland (USQ), with survey responses from 720 students who use the e-learning system, 110 academic staff members, and 22 ICT staff. The results confirm that the study model is valid and reliable to measure the success of e-learning systems from different points of view. Some of the relationships among the constructs in the study model were supported and some were not. The study contributed to the body of knowledge by providing a valid and reliable model to measure the success of e-learning systems. Moreover, this study contributes to the practitioners, recommending universities and educational institutions that develop and support e-learning systems.

Keywordse-learning systems; success measurement
ANZSRC Field of Research 2020390405. Educational technology and computing
400904. Electronic device and system performance evaluation, testing and simulation
460908. Information systems organisation and management
Byline AffiliationsSchool of Information Systems
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Related outputs

Measuring e-learning system success (Research in progress)
Alsabawy, Ahmed Younis, Cater-Steel, Aileen and Soar, Jeffrey. 2011. "Measuring e-learning system success (Research in progress)." Seddon, Peter and Gregor, Shirley (ed.) 15th Pacific Asia Conference on Information Systems (PACIS 2011): Quality Research in Pacific Asia. Brisbane, Australia 07 - 11 Jul 2011 Brisbane, Australia.
Determinants of perceived usefulness of e-learning systems
Alsabawy, Ahmed Younis, Cater-Steel, Aileen and Soar, Jeffrey. 2016. "Determinants of perceived usefulness of e-learning systems." Computers in Human Behavior. 64, pp. 843-858. https://doi.org/10.1016/j.chb.2016.07.065
E-learning service delivery quality: a determinant of user satisfaction
Alsabawy, Ahmed Younis, Cater-Steel, Aileen and Soar, Jeffrey. 2013. "E-learning service delivery quality: a determinant of user satisfaction." Kats, Yefim (ed.) Learning management systems and instructional design: best practices in online education. Hershey, PA. United States. IGI Global. pp. 89-127
IT infrastructure and its role in the success of e-learning systems: measurement and causal models
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IT infrastructure services as a requirement for e-learning system success
Alsabawy, Ahmed Younis, Cater-Steel, Aileen and Soar, Jeffrey. 2013. "IT infrastructure services as a requirement for e-learning system success." Computers and Education. 69, pp. 431-451. https://doi.org/10.1016/j.compedu.2013.07.035
The effect of service delivery quality on customer value of e-learning systems
Alsabawy, Ahmed Younis, Cater-Steel, Aileen and Soar, Jeffrey. 2012. "The effect of service delivery quality on customer value of e-learning systems." Rocha, Alvaro, Calvo-Manzano, Jose, Reis, Luis Paulo and Cota, Manuel Perez (ed.) 7th Iberian Conference on Information Systems and Technologies (CISTI 2012). Madrid, Spain 20 - 23 Jun 2012 Portugal.
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Alsabawy, Ahmed Younis, Cater-Steel, Aileen and Soar, Jeffrey. 2012. "Identifying the determinants of e-learning service delivery quality." Lamp, John (ed.) 23rd Australasian Conference on Information Systems (ACIS 2012). Geelong, Australia 03 - 05 Dec 2012 Geelong, Australia.
A model to measure e-learning systems success
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