Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (8): 79-83.

• 研发、设计、测试 • Previous Articles     Next Articles

Analysis method based on single-point and processes for student evaluation data

LU Dongxin1, LU Minyuan2, WENG Wenyong3, WANG Zebing3   

  1. 1.Department of Computer, College of Computer Science and Technology, Zhejiang University, Hangzhou 310007, China
    2.School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China
    3.Networking and Computing Lab, School of Computer Science and Technology, Zhejiang University City College, Hangzhou 310015, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2012-03-11 Published:2012-03-11

基于单点与过程的学生评估数据分析

陆东鑫1,陆敏媛2,翁文勇3,王泽兵3   

  1. 1.浙江大学 计算机科学与技术学院 计算机系,杭州 310007
    2.浙江工商大学 计算机与信息工程学院,杭州 310018
    3.浙江大学城市学院 计算机科学与技术学院 网络与计算重点实验室,杭州 310015

Abstract: 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.It implements the analysis process by programming to reduce operational requirements.The experimental results show the effectiveness.

Key words: student evaluation, Ontology-based Grouth Evaluation system(OGE), fuzzy k-means clustering, decision tree

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。

关键词: 学生评价, 基于本体的成长评估体系(OGE), 模糊k-means聚类, 决策树