苏州大学学报(自然科学版)2012,Vol.28Issue(3) :89-94.

基于属性依赖度的考研高等数学成绩影响因素分析

Some investigations on impact factors of higher mathematics scores in China graduate student entrance examination base on attribute dependence

苏国荣 戴中寅
苏州大学学报(自然科学版)2012,Vol.28Issue(3) :89-94.

基于属性依赖度的考研高等数学成绩影响因素分析

Some investigations on impact factors of higher mathematics scores in China graduate student entrance examination base on attribute dependence

苏国荣 1戴中寅1
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作者信息

  • 1. 苏州大学数学科学学院,江苏苏州,215006
  • 折叠

摘要

针对全国硕士研究生入学考试中高等数学成绩影响因素的多重性,在苏州大学文正学院2008级考研学生中,以高等数学为必考科目的所有学生作为研究样本,基于粗糙集理论中的属性依赖度原理,将这些学生的高考成绩、高等数学课程成绩和高等数学培训成绩作为考研高等数学成绩的主要影响因素,研究了考研高等数学成绩与其主要影响因素之间的关系,并通过对这些影响因素进行定量分析,挖掘这些影响因素在考研高等数学成绩中重要性的数值指标.本文的结果对于进一步深入研究普通高等学校高等数学课程的教学评价,从而提高高等数学课程的教学效果具有一定的理论意义.

Abstract

For multiplicity of impact factors on higher mathematics scores in China graduate student entrance examination, we are based on attribute dependence principle to investigate some relations between higher mathematics scores in China graduate student entrance examination and the main im-pact factors. In our investigation, some students are selected from grade 2008 in Soochow university Wenzheng college as a sample, who toke part in 2012 China graduate student entrance mathematics examination. We take mathematics scores in China university entrance examination, the higher math-ematics course scores and the higher mathematics training scores as the main impact factors to give numerical index of importance for these impact factors by quantitative analysis of these impact fac-tors . Results of this paper will be help to improve teaching effects of the higher mathematics course in Chinese university, and have certain theoretical significance for the further research of teaching eval-uation of higher mathematics course in Chinese university.

关键词

考研高等数学成绩/属性依赖度/重要性/影响因素

Key words

higher mathematics scores in graduate student entrance examination/attribute depend-ence/importance/impact factor

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基金项目

苏州大学文正学院教育基金(JX09)

出版年

2012
苏州大学学报(自然科学版)
苏州大学

苏州大学学报(自然科学版)

影响因子:0.237
ISSN:1000-2073
被引量7
参考文献量1
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