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Using Multi-Attribute Decision-Making Approach to Evaluate Learning Management Systems

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  • Alaa M. Momani

    (School of Information Technology, Skyline University College, UAE)

Abstract

E-learning is one of the fastest growing areas of the high technology development, especially in the academic environments. However, the instructor is a very important factor in the learning process, but the advantages of e-learning change the role which the instructor plays in this process. E-learning gives an opportunity to anyone to learn in a rapid and customised way. Nowadays, many learning management systems (LMSs) available in the marketplace offer electronic teaching and learning tools. Choosing the most appropriate LMS that fits the needs and requirements of instructor and the learner is one of the most confusing and difficult decisions to any educational institution. Accordingly, the need to a computer-based tool for getting help in taking such a decision is rising on. This paper offers a solution to this problem. It provides a description about a web-based decision support system named Easy Way to Evaluate LMS (EW-LMS). It has been developed by adopting multi-attribute decision-making algorithm in order to select the best LMS depending on the user needs.

Suggested Citation

  • Alaa M. Momani, 2021. "Using Multi-Attribute Decision-Making Approach to Evaluate Learning Management Systems," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 16(4), pages 117-131, July.
    • Handle: RePEc:igg:jwltt0:v:16:y:2021:i:4:p:117-131
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    References listed on IDEAS

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    1. Brad Carter & Claus Rinner, 2014. "Locally weighted linear combination in a vector geographic information system," Journal of Geographical Systems, Springer, vol. 16(3), pages 343-361, July.
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