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数据挖掘技术在试卷分析中的应用 被引量:11

Application of the data mining on the analysis of test papers
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摘要 本文讨论了数据挖掘技术在试卷分析中的应用,针对传统试卷评价方法中仅仅是对试卷进行宏观整体的分析与评价,缺乏对特定试题评价的局限性,本文利用了层次聚类技术和关联规则技术对学生试卷进行分析,得到了具有不同成绩特征的学生群体,析出试卷上特定题目知识点间的相关性,得到的结论对高校教学有一定的指导作用. The application of the data mining technology on the analysis of test papers is discussed in this paper. There are many limitations in the traditional evaluation method on test papers,for example, the traditional evaluation method is just a macro analysis and evaluation on the test papers and lack of the evaluation of specific questions. The hierarchical cluster and association rules are used to analyze the test papers and obtain different students' groups with various score characters, the relations of the knowledge points with specific topics on the test papers are also analyzed, and the conclusions obtained are valuable for the college teaching.
出处 《西南民族大学学报(自然科学版)》 CAS 2008年第4期839-842,共4页 Journal of Southwest Minzu University(Natural Science Edition)
关键词 数据挖掘技术 聚类 关联规则 试卷分析 data mining cluster association rule analysis of test papers
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参考文献1

  • 1(美)RICHARD J.ROIGER,(美)MICHAEL W.GEATZ.数据挖掘教程[M].北京:清华大学出版社,2003.

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