Proceedings of the 2015 International Conference on Education Reform and Modern Management

A New Student Achievement Evaluation Method Based on k-means Clustering Algorithm

Authors
Sumei Xi
Corresponding Author
Sumei Xi
Available Online April 2015.
DOI
10.2991/ermm-15.2015.46How to use a DOI?
Keywords
clustering, achievement evaluation, teaching management, k-means
Abstract

This article puts forward an improved k-means clustering algorithm for the student achievement evaluation. Through the empirical analysis, we can explore the importance of evaluating the student achievement of the inner information hidden in the student score data, which can make up the drawbacks of the traditional methods.

Copyright
© 2015, 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 2015 International Conference on Education Reform and Modern Management
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2015
ISBN
978-94-62520-66-0
ISSN
2352-5398
DOI
10.2991/ermm-15.2015.46How to use a DOI?
Copyright
© 2015, 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  - Sumei Xi
PY  - 2015/04
DA  - 2015/04
TI  - A New Student Achievement Evaluation Method Based on k-means Clustering Algorithm
BT  - Proceedings of the 2015 International Conference on Education Reform and Modern Management
PB  - Atlantis Press
SP  - 175
EP  - 178
SN  - 2352-5398
UR  - https://doi.org/10.2991/ermm-15.2015.46
DO  - 10.2991/ermm-15.2015.46
ID  - Xi2015/04
ER  -