Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

A Clustering Algorithm of E-learningers Based on Rough Set

Authors
Yunhua Wang, Huiyan Ke
Corresponding Author
Yunhua Wang
Available Online May 2014.
DOI
10.2991/iccia.2012.161How to use a DOI?
Keywords
concep, E-learning, clustering algorithm, rough set, individualized teaching
Abstract

The demand for individualized teaching from E-learning websites is rapidly increasing due to the huge differences existed among E-learning learners. A method for clustering E-learningers based on rough set is proposed. The basic idea of the method is to reduce the learning attributes prior to clustering, and therefore the clustering of E-learningers is carried out in a relative low-dimensional space. Using this method, the E-learning websites can arrange corresponding teaching content for different clusters of learners so that the learners’ individual requirements can be more satisfied.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
10.2991/iccia.2012.161How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yunhua Wang
AU  - Huiyan Ke
PY  - 2014/05
DA  - 2014/05
TI  - A Clustering Algorithm of E-learningers Based on Rough Set
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 668
EP  - 671
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.161
DO  - 10.2991/iccia.2012.161
ID  - Wang2014/05
ER  -