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昆明冶金高等专科学校学报 ›› 2017, Vol. 33 ›› Issue (5): 87-91.DOI: 10.3969/j.issn.1009-0479.2017.05.015

• 数理科学 • 上一篇    下一篇

成绩数据无量纲化在学生综合测评中的应用

孙文兴,陈智刚,罗 婕,王俊英   

  1. 昆明冶金高等专科学校教务处,云南昆明650033
  • 收稿日期:2017-05-04 出版日期:2017-12-19 发布日期:2017-12-19
  • 作者简介:孙文兴(1979-),男,云南曲靖人,讲师,工程硕士,主要从事教育管理研究。
  • 基金资助:
    昆明冶金高等专科学校科研基金项目:基于数据挖掘的高职院校学生成绩分析与研究(2017xjzk08)。

Application of Nondimensionalized Performance Datain Students' Comprehensive Evaluation

SUNWenxing,CHENZhigang,LUOJie,WANGJunying   

  1. Division of Teaching Affairs,Kunming Metallurgy College,Kunming 650033,China
  • Received:2017-05-04 Online:2017-12-19 Published:2017-12-19

摘要: 简要介绍了学习成绩测评中常用的3种数据无量纲化计算方法,利用SPSS统计分析软件对选取的学生原始成绩变量进行统计学分析。根据综合素质测评原则与原始成绩分布情况,选取区域性线性转换计算方法和正太化转换方法,实证分析探讨无量纲化方法在学生成绩测评中的应用。经过问卷调查,采用区域性线性转换
计算方法对成绩无量纲处理,得到的学生成绩测评排序更符合学生和教师的预期。

关键词: 学习成绩测评, 无量纲化, 区域性线性变换, 标准正态化转换

Abstract: This paper first introduces three commonly used nondimensionalized data calculation methods in students' performance record.By the software of  SPSS,it then analyzes the variable,selected students' original scores. According to the principle of comprehensive quality assessment and the distribution of students' original scores,using two methods:the regional linear transformation calculation and normalization transformation methods: it empirically analyzes the application of nondimensionalized data in students' performance evaluation.Finally,by means of a questionnaire survey,using the regional linear transformation method to nondimensionalize students' performance data,it shows that the sorting and ranking of students' performance could better meet the expectations of both students and teachers.

Key words: performance evaluation, nondimensionalized, regional linear transformation, standard normalization transformation

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