Proceedings of the 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018)

Applications of association rule mining in Teaching Evaluation

Authors
Lihui Zhang, Zhifang Lu
Corresponding Author
Lihui Zhang
Available Online June 2018.
DOI
10.2991/hsmet-18.2018.64How to use a DOI?
Keywords
Data mining, Association rule, Teaching Evaluation.
Abstract

Now the student’s evaluation of teaching online is the most methods used in colleges and universities. Teaching Quality Evaluation System (TQES) has collected a lot of teaching information, but most of them have not been mined and researched very well. In this paper, the technique of associate rule mining is used to teaching information management of universities. The research analyze the data that evaluation of classroom teaching by student in teaching management. The experimental results show that the data mining is helpful for the teaching management.

Copyright
© 2018, 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 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2018
ISBN
10.2991/hsmet-18.2018.64
ISSN
2352-5398
DOI
10.2991/hsmet-18.2018.64How to use a DOI?
Copyright
© 2018, 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  - Lihui Zhang
AU  - Zhifang Lu
PY  - 2018/06
DA  - 2018/06
TI  - Applications of association rule mining in Teaching Evaluation
BT  - Proceedings of the 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018)
PB  - Atlantis Press
SP  - 331
EP  - 334
SN  - 2352-5398
UR  - https://doi.org/10.2991/hsmet-18.2018.64
DO  - 10.2991/hsmet-18.2018.64
ID  - Zhang2018/06
ER  -