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Open AccessArticle

A Hierarchical Model to Evaluate the Quality of Web-Based E-Learning Systems

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Department of Computer Sciences, Bahria University Lahore Campus, Punjab 54600, Pakistan
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Department of Software Engineering, University of Gujrat, Punjab 50700, Pakistan
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College of Computer and Information Sciences (CCIS), King Saud University, Riyadh 11653, Saudi Arabia
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Department of Computers and Systems Engineering, Faculty of Engineering at Helwan, Helwan University, Cairo 11795, Egypt
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Center of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh 12372, Saudi Arabia
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Department of Software Engineering, National University of Modern Languages, Islamabad 44000, Pakistan
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Author to whom correspondence should be addressed.
Sustainability 2020, 12(10), 4071; https://doi.org/10.3390/su12104071
Received: 18 April 2020 / Revised: 13 May 2020 / Accepted: 13 May 2020 / Published: 15 May 2020
(This article belongs to the Special Issue Sustainable Information Systems)
The rapid growth of Information and Communication Technologies (ICT)—specifically, the Internet—has given emergence to e-learning. Resultantly, web-based e-learning systems are being increasingly developed to enhance the learning process. However, the utilization of such systems is low, mainly owing to poor quality content and overall design problems. To improve usage, it is imperative to identify the factors with the most significant impact on the quality of these systems so that the e-learning industry keeps these factors in consideration while developing e-learning systems. This study focused on the identification and prioritization of factors related to the design quality of e-learning systems through a hierarchical quality model. Thus, firstly, an extensive literature review was conducted to identify the factors that most affect the quality of web-based e-learning systems. Secondly, among the identified factors, only those with the most significant effect were considered. To identify the most important quality criteria, a survey was conducted. An instrument was deployed among 157 subjects, including e-learning designers, developers, students, teachers, and educational administrators. Finally, a second instrument was distributed among 51 participants to make a pairwise comparison among the criteria and rank them according to their relative importance. The identified and prioritized factors were classified into four main categories. Among these four factors, content was identified as the most important factor, whereas design was found to be the least important factor. View Full-Text
Keywords: analytical hierarchical process (AHP); content; e-learning; quality; usability analytical hierarchical process (AHP); content; e-learning; quality; usability
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Muhammad, A.H.; Siddique, A.; Youssef, A.E.; Saleem, K.; Shahzad, B.; Akram, A.; Al-Thnian, A.-B.S. A Hierarchical Model to Evaluate the Quality of Web-Based E-Learning Systems. Sustainability 2020, 12, 4071.

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