基于单点与过程的学生评估数据分析

摘要

针对当前学生评估数据利用单一、主观、操作性要求高等缺点,提出了一种基于单点和过程的分析方法.通过结合聚类与决策树,挖掘学生共有特征和隐含规律,量化学生现状和成长过程.编程实现该分析过程,降低操作难度.以真实数据进行实验,证明了该方法的有效性.%Aiming at the problems of using student evaluation data, a method is proposed to analysis by single-point and processes.By combining clustering and decision tree, it finds the common features and implicit rules in students, and quantifies the current status and growth process of students.lt implements the analysis process by programming to reduce operational requirements.The experimental results show the effectiveness.