Content area

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.

Details

Title
Using Multi-Attribute Decision-Making Approach to Evaluate Learning Management Systems
Author
Momani, Alaa 1 

 School of Information Technology, Skyline University College, UAE 
Volume
16
Issue
4
Pages
117-131
Publication year
2021
Publication date
2021
Publisher
IGI Global
Place of publication
Hershey
Country of publication
United States
ISSN
1548-1093
e-ISSN
1548-1107
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Milestone dates
2021-07-01 (pubdate)
ProQuest document ID
2932393989
Document URL
https://www.proquest.com/scholarly-journals/using-multi-attribute-decision-making-approach/docview/2932393989/se-2?accountid=208611
Copyright

© 2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”).  Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Last updated
2025-11-08
Database
2 databases
  • Education Research Index
  • ProQuest One Academic