Proceedings of the 2013 International Conference on Advanced ICT and Education

Mining the Change of Fuzzy Quantitative Association Rules for Summative Assessment

Authors
Chih-Hong Huang, Tony Cheng-Kui Huang, Shih-Sheng Chen
Corresponding Author
Chih-Hong Huang
Available Online August 2013.
DOI
https://doi.org/10.2991/icaicte.2013.36How to use a DOI?
Keywords
data mining, change mining, fuzzy association rules
Abstract
A learning management system (LSM) prevails and it accumulates an amount of data about the progress of student learning, demographic and students’ background over different sessions. Educators are very concerned about the shifts of unknown relationships among a thousand variables about students in a LMS for adjusting their teaching strategies and pedagogies. However, educators are not satisfied with the traditional reports, which are explored with limited relative variables on the issue of summative assessment and learning achievement in static sessions. The information about the changes of un-known relationships among many varia-bles cannot be produced with statistical methods in traditional reports. Our study proposes a mining change of fuzzy quan-titative association rules model to reveal the information. This model can discover the six types of changes rules from un-known relationships among many varia-bles with nominal or numerical attributes. Experiments are carried out to evaluate the proposed model. We empirical demonstrate how the model helps educa-tors understand the changing characteris-tics of students and to modify their teaching practices.
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Proceedings
2013 International Conference on Advanced ICT and Education (ICAICTE-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-79-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaicte.2013.36How 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  - Chih-Hong Huang
AU  - Tony Cheng-Kui Huang
AU  - Shih-Sheng Chen
PY  - 2013/08
DA  - 2013/08
TI  - Mining the Change of Fuzzy Quantitative Association Rules for Summative Assessment
BT  - 2013 International Conference on Advanced ICT and Education (ICAICTE-13)
PB  - Atlantis Press
SP  - 169
EP  - 173
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaicte.2013.36
DO  - https://doi.org/10.2991/icaicte.2013.36
ID  - Huang2013/08
ER  -