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Application of Data Mining for emotional intelligence based on cluster analysis

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2 Author(s)
Feng Jing ; Chongqing Vocational Inst. of Electron. Eng., Chongqing, China ; Kang Shiying

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.

Published in:

Artificial Intelligence and Education (ICAIE), 2010 International Conference on

Date of Conference:

29-30 Oct. 2010