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

DOI

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.

Copyright

© 2016, 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  - 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  - Proceedings of the 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SP  - 14
EP  - 18
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.3
DO  - 10.2991/icemc-16.2016.3
ID  - Zheng2016/05
ER  -