会议专题

Comprehensive Evaluation of Students Grades Based on Multivariate Statistical Analysis

The students grades are evaluated by the multivariate statistical analysis. Data processing show the students grades of information and computational science in North China Institute of Science and Technology are using for this method to study. Factor analysis results show 14 curriculums of this professional can cultivate students ability and adapt to the requirements of the society for talents. On the other hand, 14 factors can be divided into six types. According to the weighted scores, a scientific class ranking can be given. Cluster analysis results show that classification can provide necessary theory support for judging students ability and strengthening employment guidance.

students grades comprehensive evaluation factor analysis cluster analysis

LIU Haisheng JIANG Ziyan HAO Bing

Basic Department, North China Institute of Science and Technology, Sanhe 065201, China

国际会议

2010 International Conference on Probability and Statistics of the International Institute for General Systems Studies(国际一般系统理论研究会中国概率统计学会第二届学术会议IIGSS-CPS2010)

南京

英文

592-596

2010-07-29(万方平台首次上网日期,不代表论文的发表时间)