Selection of suitable e-learning approach using TOPSIS technique with best ranked criteria weights
his 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 Mal...
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| Format: | Article |
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IP Publishing LLC
2017
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| author | Mohammed, Husam Jasim Mat Kasim, Maznah Mohd Shaharanee, Izwan Nizal |
| author_facet | Mohammed, Husam Jasim Mat Kasim, Maznah Mohd Shaharanee, Izwan Nizal |
| author_sort | Mohammed, Husam Jasim |
| collection | UUM |
| description | his 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. |
| first_indexed | 2024-07-04T06:28:12Z |
| format | Article |
| id | uum-24909 |
| institution | Universiti Utara Malaysia |
| last_indexed | 2024-07-04T06:28:12Z |
| publishDate | 2017 |
| publisher | IP Publishing LLC |
| record_format | dspace |
| spelling | uum-249092018-10-07T07:36:43Z https://repo.uum.edu.my/id/eprint/24909/ Selection of suitable e-learning approach using TOPSIS technique with best ranked criteria weights Mohammed, Husam Jasim Mat Kasim, Maznah Mohd Shaharanee, Izwan Nizal QA75 Electronic computers. Computer science his 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. IP Publishing LLC 2017 Article PeerReviewed Mohammed, Husam Jasim and Mat Kasim, Maznah and Mohd Shaharanee, Izwan Nizal (2017) Selection of suitable e-learning approach using TOPSIS technique with best ranked criteria weights. AIP Conference Proceedings, 1905 (1). 040019. ISSN 0094-243X http://doi.org/10.1063/1.5012207 doi:10.1063/1.5012207 doi:10.1063/1.5012207 |
| spellingShingle | QA75 Electronic computers. Computer science Mohammed, Husam Jasim Mat Kasim, Maznah Mohd Shaharanee, Izwan Nizal Selection of suitable e-learning approach using TOPSIS technique with best ranked criteria weights |
| title | Selection of suitable e-learning approach using TOPSIS technique with best ranked criteria weights |
| title_full | Selection of suitable e-learning approach using TOPSIS technique with best ranked criteria weights |
| title_fullStr | Selection of suitable e-learning approach using TOPSIS technique with best ranked criteria weights |
| title_full_unstemmed | Selection of suitable e-learning approach using TOPSIS technique with best ranked criteria weights |
| title_short | Selection of suitable e-learning approach using TOPSIS technique with best ranked criteria weights |
| title_sort | selection of suitable e learning approach using topsis technique with best ranked criteria weights |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT mohammedhusamjasim selectionofsuitableelearningapproachusingtopsistechniquewithbestrankedcriteriaweights AT matkasimmaznah selectionofsuitableelearningapproachusingtopsistechniquewithbestrankedcriteriaweights AT mohdshaharaneeizwannizal selectionofsuitableelearningapproachusingtopsistechniquewithbestrankedcriteriaweights |