A sustainable quality assessment model for the information delivery in E-learning systems

Farid, Shahid and Ahmad, Rodina and Alam, Mujahid and Akbar, Atif and Chang, Victor (2018) A sustainable quality assessment model for the information delivery in E-learning systems. Information Discovery and Delivery, 46 (1). pp. 1-25. ISSN 2398-6247

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Official URL: https://doi.org/10.1108/IDD-11-2016-0047

Abstract

Purpose: The purpose of this study is to propose a sustainable quality assessment approach (model) for the e-learning systems keeping software perspective under consideration. E-learning is becoming mainstream due to its accessibility, state-of-the-art learning, training ease and cost effectiveness. However, the poor quality of e-learning systems is one of the major causes of several failures reported. Moreover, this arena lacks well-defined quality assessment measures. Hence, it is quite difficult to measure the overall quality of an e-learning system effectively. Design/methodology/approach: A pragmatic mixed-model philosophy was adopted for this study. A systematic literature review was performed to identify existing e-learning quality models and frameworks. Semi-structured interviews were conducted with e-learning experts following empirical investigations to identify the crucial quality characteristics of e-learning systems. Various statistical tests like principal component analysis, logistic regression, chi-square and analysis of means were applied to analyze the empirical data. These led to an adequate set of quality indicators that can be used by higher education institutions to assure the quality of e-learning systems. Findings: A sustainable quality assessment model for the information delivery in e-learning systems in software perspective has been proposed by exploring the state-of-the-art quality assessment/evaluation models and frameworks proposed for the e-learning systems. The proposed model can be used to assess and improve the process of information discovery and delivery of e-learning. Originality/value: The results obtained led to conclude that very limited attention is given to the quality of e-learning tools despite the importance of quality and its effect on e-learning system adoption and promotion. Moreover, the identified models and frameworks do not adequately address quality of e-learning systems from a software perspective.

Item Type: Article
Uncontrolled Keywords: Information delivery; Quality; Quality assessment; Quality characteristics; Quality models and frameworks; Quality of e-learning system
Subjects: L Education > L Education (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Divisions: Faculty of Computer Science & Information Technology > Dept of Software Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 27 Aug 2019 02:13
Last Modified: 27 Aug 2019 02:13
URI: http://eprints.um.edu.my/id/eprint/22088

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