Selection of suitable e-learning approach using TOPSIS technique with best ranked criteria weights

This paper compares the performances of four rank-based weighting assessment techniques, Rank Sum (RS), Rank Reciprocal (RR), Rank Exponent (RE), and Rank Order Centroid (ROC) on five identified e-learning criteria to select the best weights method. A total of 35 experts in a public university in Ma...

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Bibliographic Details
Main Authors: Mohammed, Husam Jasim, Kasim, Maznah Mat, Shaharanee, Izwan Nizal Mohd
Format: Conference Proceeding
Language:English
Subjects:
Classrooms
Colleges & universities
Criteria
Distance learning
Online instruction
Weighting
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Summary:This paper compares the performances of four rank-based weighting assessment techniques, Rank Sum (RS), Rank Reciprocal (RR), Rank Exponent (RE), and Rank Order Centroid (ROC) on five identified e-learning criteria to select the best weights method. A total of 35 experts in a public university in Malaysia were asked to rank the criteria and to evaluate five e-learning approaches which include blended learning, flipped classroom, ICT supported face to face learning, synchronous learning, and asynchronous learning. The best ranked criteria weights are defined as weights that have the least total absolute differences with the geometric mean of all weights, were then used to select the most suitable e-learning approach by using TOPSIS method. The results show that RR weights are the best, while flipped classroom approach implementation is the most suitable approach. This paper has developed a decision framework to aid decision makers (DMs) in choosing the most suitable weighting method for solving MCDM problems.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.5012207