Research Article
A Framework for Recommendation of courses in E-learning System
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 35 - Issue 4 |
| Published: December 2011 |
| Authors: Sunita B. Aher, Lobo L.M.R.J. |
10.5120/4387-6091
|
Sunita B. Aher, Lobo L.M.R.J. . A Framework for Recommendation of courses in E-learning System. International Journal of Computer Applications. 35, 4 (December 2011), 21-28. DOI=10.5120/4387-6091
@article{ 10.5120/4387-6091,
author = { Sunita B. Aher,Lobo L.M.R.J. },
title = { A Framework for Recommendation of courses in E-learning System },
journal = { International Journal of Computer Applications },
year = { 2011 },
volume = { 35 },
number = { 4 },
pages = { 21-28 },
doi = { 10.5120/4387-6091 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A Sunita B. Aher
%A Lobo L.M.R.J.
%T A Framework for Recommendation of courses in E-learning System%T
%J International Journal of Computer Applications
%V 35
%N 4
%P 21-28
%R 10.5120/4387-6091
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The course recommendation system in e-learning is a system that suggests the best combination of subjects in which the students are interested.
References
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- Weka (2007). http://www.cs.waikato.ac.nz/ml/weka/.
- http://www.educationaldatamining.org/ Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in.
- Sunita B Aher and Lobo L.M.R.J.. Data Mining in Educational System using WEKA. IJCA Proceedings on International Conference on Emerging Technology Trends (ICETT) (3):20-25, 2011. Published by Foundation of Computer Science, New York, USA (ISBN: 978-93-80864-71-13)
- Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo and César Hervás: Data Mining Algorithms to Classify Students
Index Terms
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