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
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)