Application of Association Rules Mining in the System of University Teaching Appraisal

Author

Zhang Jing-miao ; Gao Wei-xiao

Author_Institution

Comput. Center, Hebei Univ. of Econ. & Bus., Shijiazhuang

Volume

2

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

26

Lastpage

28

Abstract

A large amount of data has accumulated in teaching appraisal that must be done every semester among most universities. In order to find out the law or model hidden in these data, the data mining technology should be used fully. This thesis introduces the application of association rules mining in the teaching appraisal, which can effectively guide the teaching work by finding out the intrinsic association rules between the effectiveness of classroom teaching and teacherspsila age and title.

Keywords

data mining; educational administrative data processing; teaching; association rule mining; data mining technology; teacher age; university teaching appraisal; Application software; Appraisal; Association rules; Computer science education; Data mining; Databases; Decision making; Educational technology; Geoscience and remote sensing; Itemsets; Association Rules; Confidence; Data Mining; Support; Teaching Appraisal;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3563-0

Type

conf

DOI

10.1109/ETTandGRS.2008.148

Filename

5070300