Retracted: The application of a multi-attribute decision-making algorithm to learning management systems evaluation

Abstract

Recently, because of the rapid increase in the popularity of the Internet, the delivery of learning programmes has gradually shifted from local desktop to online-based applications. As more and more technological tools become available for online education, there is an increasing interest among educators and other professionals in the application of these tools with regard to online courses. In large-scale operations, online learning management systems (LMSs) can save cost and time. LMSs are software applications that comprise a suite of tools for learning and teaching online. In conventional educational settings, online LMSs can help to improve the speed and effectiveness of the educational process, communication among learners, and also between staff and students. There are a large number of open-source and commercially available LMSs on the marketplace, and one of the problems facing an administrator or instructor is how to choose the LMS that can meet his/her needs. This paper describes a software system developed by the author to aid in the selection of a suitable LMS. The software is a web-based decision support system, titled Easy Way to Evaluate LMSs, and is based on using a multi-attribute decision-making algorithm for the effective selection of an LMS.