Research to Emotional Intelligence of Students by Applicating K-means Clustering Data Mining
Combining data mining techniques with the emotional intelligence theory to study the individualized education of vocational Institute is the application that has not been found so far. Through the emotional intelligence survey and its data collection in 5 Chongqing vocational college, we dissected the characteristics of emotional intelligence data, analyzed 804 samples using K-means cluster analysis method. The 5 inner types of vocational students were dig out. And according to the actual situation of the schools, we explained the 5 types students and explored the educational strategy, to provide the research basis for the developing more effective educational strategies of differentiation education.
K-meam cluster analysis Data mining Emotional intelligence
Kang Shiying
School of Computer Science & Information Engineering Chongqing Technology and Business University Chongqing, 400067 China
国际会议
太原
英文
342-345
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）