Please use this identifier to cite or link to this item:
https://scidar.kg.ac.rs/handle/123456789/16843| Title: | A Fuzzy Multicriteria Method for E-learning Quality Evaluation |
| Authors: | Stefanovic, Miladin Tadic, Danijela Arsovski, Slavko Arsovski, Zora Aleksic, Aleksandar |
| Issue Date: | 2010 |
| Abstract: | Quality is a phenomenon which is in the core of any type of e-learning development. There is a demand for e-training systems evaluation in order to benchmark them and improve factors that will lead to an effective high quality e-training system. This paper introduces a multi-criteria method for e-learning quality evaluation. To evaluate an e-learning system, we decomposed the e-learning process into sub-processes and activities. The quality of each activity was evaluated both numerically and using linguistic expressions. Following this methodology a number of issues were addressed, such as trainee satisfaction, relative importance of decision criteria, measurement and analysis of trainee on-the-job performances, improvement of the relationships with management and other stakeholders. Quantitative presentations of the e-training process quality enable comparison of different e-training processes and their ranking according to the level of quality. |
| URI: | https://scidar.kg.ac.rs/handle/123456789/16843 |
| Type: | article |
| ISSN: | 0949-149X |
| Appears in Collections: | Faculty of Engineering, Kragujevac |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| A fuzzy multicriteria method for e learning quality evaluation.pdf | 598.18 kB | Adobe PDF | ![]() View/Open |
This item is licensed under a Creative Commons License


