Proceedings of the 2016 International Conference on Education, Management and Computer Science

The Application of Association Rules Mining in the Analysis of Students' Test Scores

Authors
Jigang Zheng, Jingmei Zhang
Corresponding Author
Jigang Zheng
Available Online May 2016.
DOI
https://doi.org/10.2991/icemc-16.2016.3How to use a DOI?
Keywords
Data mining; Association rules; Test scores; Teaching quality
Abstract
Data mining from large amounts of data to extract efficient,implicit,potential useful knowledge and information,it has in many other areas has been successfully applied.However,the application in the field of education is relatively less.The central work of institutions of higher learning is teaching,the focus is to improve the quality of education,but students are precisely the basis for measuring the quality of teaching.The characteristic of this paper is to apply association rule mining method of university students' grades,previously unknown effects on student achievement factors of mining,to provide some valuable reference for teachers and administrators,to provide the necessary decision support for teaching and student management,to better carry out teaching,in order to improve the quality of teaching in Colleges and universities.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Education, Management and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2016
ISBN
978-94-6252-202-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/icemc-16.2016.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jigang Zheng
AU  - Jingmei Zhang
PY  - 2016/05
DA  - 2016/05
TI  - The Application of Association Rules Mining in the Analysis of Students' Test Scores
BT  - 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.3
DO  - https://doi.org/10.2991/icemc-16.2016.3
ID  - Zheng2016/05
ER  -