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 educat...
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| Main Authors: | , , |
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| Format: | article |
| Language: | EN |
| Published: |
Athabasca University Press
2013
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| Subjects: | |
| Online Access: | https://doaj.org/article/70021fe3179f440f8d7ac37921db7f4f |
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