摘要
根据学生试卷的每个题型的得分情况,运用模糊聚类分析技术对成绩进行分类。通过引入F统计量确定最佳阈值,使分类结果更加科学合理;再对每类学生进行分析,找出通过考试反映出的普遍问题。采用聚类分析可以更科学地对学生进行分类,实现系统教学,而使用模糊方法则更符合实际。
Using fuzzy clustering analysis tech nique the paper classifies students based on their score in examination paper. By bring in statistic F, it determines best threshold and makes the classification result more reasonable. Then it analyzes the basic problems of the examination participants who already belong to different classifications. Clustering analysis technique ensures the scientificity of classifying students. Moreover, fuzzy clustering analysis is more in line with reality.
出处
《河北软件职业技术学院学报》
2013年第4期24-27,共4页
Journal of Hebei Software Institute
基金
吉林省教育厅科研计划项目
关键词
模糊聚类
F统计量
试卷分析
fuzzy clustering
F statistic
examination paperanalysis
