Research on the Application of K-means Cluster Analysis in Undergraduate Instructional Management

Author

Yao, Jie

Author_Institution

Sch. of Economic Manage., Northeast Dianli Univ., Jilin

fYear

2009

fDate

22-24 Jan. 2009

Firstpage

628

Lastpage

631

Abstract

Through probing into the application of K-means cluster analysis in the daily instructional management, our teacher can know how to make good use of multivariate statistical analysis software SPSS to analyze students´ scores. Thus it can help the teachers know better about how the students have grasped and understood each course. And it can also help the teachers understand the course structure and clarify the interactive relationship among these courses so that they could teach students according to their aptitude and improve instructional quality constantly.

Keywords

educational administrative data processing; educational courses; pattern clustering; statistical analysis; K-means cluster analysis; course structure; daily instructional management; instructional quality; multivariate statistical analysis software; undergraduate instructional management; Advertising; Analysis of variance; Application software; Communication system operations and management; Conference management; Education; Financial management; Marketing management; Project management; Taxonomy; K-means Cluster Analysis; instructional management; undergraduate instruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control, 2009. ICACC '09. International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-3330-8

Type

conf

DOI

10.1109/ICACC.2009.17

Filename

4777418