基于K-means算法的学生试卷成绩分析

Examination Grade Analysis Based on K-means Methods

目前在教学管理中,通常采用算术平均线性划分法对学生成绩进行分析评价,难以准确地反映学生真实的学习情况.笔者运用K-means算法对上海市某高级中学某班的一次试卷成绩进行聚类,并对聚类结果进行了详细分析,为制定有效的教学及学习策略提供相关依据.

The present teaching management adopts the arithmetical average method to analyze and evaluate students’ performances,which is difficult to truly reflect the states of students learning process.In this paper,based on a fully completed score-sheet of academic performance sampled from a class in a senior high school in Shanghai,the K-means approach is adopted to cluster the examination score,and a detailed analysis is subsequently conducted on the clustering results.The introduced approach proves more realistic and convincing,which can be used for more effective teaching and learning planning.