Improved Fuzzy Modelling to Predict the Academic Performance of Distance Education Students
It is essential to predict distance education students’ year-end academic performance early during the course of the semester and to take precautions using such prediction-based information. This will, in particular, help enhance their academic performance and, therefore, improve the overall educati...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Athabasca University Press
2013-12-01
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| Series: | International Review of Research in Open and Distributed Learning |
| Online Access: | http://www.irrodl.org/index.php/irrodl/article/view/1595/2716 |