Effectiveness Analysis of The Application of Clustering in Student Grouping

DOI

10.2991/icetis-13.2013.226How to use a DOI?

Keywords

education data mining; clustering; student grouping

Abstract

In today's education practices, it is common to group students on their performance and teach them separately. Additionally, now a lot of data mining tools, including many education data mining tools, are available to teachers. With the help of these tools, student grouping can be more effective using clustering algorithms. This article proposes two principles of choosing clustering algorithm for student grouping. Two algorithms are chosen and an experiment is made to compare their effectiveness on students’ learning data. Finally we give the conclusion on why one algorithm performs better than the other.

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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TY  - CONF
AU  - Chen Xu
AU  - Li Zheng
PY  - 2013/06
DA  - 2013/06
TI  - Effectiveness Analysis of The Application of Clustering in Student Grouping
BT  - Proceedings of the 2013 the International Conference on Education Technology and Information System (ICETIS 2013)
PB  - Atlantis Press
SP  - 993
EP  - 996
SN  - 1951-6851
UR  - https://doi.org/10.2991/icetis-13.2013.226
DO  - 10.2991/icetis-13.2013.226
ID  - Xu2013/06
ER  -