DocumentCode
3166442
Title
Application of Data Mining for emotional intelligence based on cluster analysis
Author
Jing, Feng ; Shiying, Kang
Author_Institution
Chongqing Vocational Inst. of Electron. Eng., Chongqing, China
fYear
2010
fDate
29-30 Oct. 2010
Firstpage
512
Lastpage
515
Abstract
Combining with the emotional intelligence theory, the Clustering Data Mining techniques was applied to individualized education research of Chongqing vocational Institute. through the emotional intelligence survey and its data collection, we dissected the characteristics of emotional intelligence data, analysed 804 samples of 5 Chongqing vocational Institute using K-means cluster analysis method. The 5 inner types of vocational students were dig out, including the balanced-type, strong adaptation-type, strong evaluation - type and weak regulation - type, strong adaptation-assessment-type, and weak awareness -strong evaluation-adaptation-type, etc. to provide the research basis for the development of more effective educational strategies.
Keywords
artificial intelligence; data mining; emotion recognition; further education; statistical analysis; vocational training; K-means cluster analysis; data mining; emotional intelligence; higher vocational education; vocational students; Data mining; Educational institutions; Gravity; Psychology; Cluster analysis; Data mining; Emotional intelligence; Higher vocational education;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-6935-2
Type
conf
DOI
10.1109/ICAIE.2010.5640962
Filename
5640962
Link To Document