文章基本信息

标题：A sample study on applying data mining research techniques in educational science: Developing a more meaning of data
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作者：Kenan Zengin ; Kenan Zengin ; Necmi Esgi 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2011
卷号：15
页码：4028-4032
DOI：10.1016/j.sbspro.2011.04.408
语种：English
出版社：Elsevier
摘要：AbstractThe purpose of this research is to present a sample study analyzing data gathered from an educational study using data mining techniques appropriate for processing these data. In order to achieve this aim, a “Computer Self-efficiency Scale” used in educational sciences was selected and this scale was applied in a study group. Data was analyzed using descriptive statistics (ttest and analysis of variance), and the data mining techniques of decision tree, dependency networks and clustering. The descriptive statistics used were calculated not using common statistical software packages, but by running a program written in Delphi 2009 programming language on Microsoft SQL Server 2008. Microsoft SQL Server 2008 was directly used for the data mining techniques of dependency networks and clustering. Some of the findings of the research, which cannot be obtained by common statistical techniques but can be obtained by data mining methods, were as follows: “those who think they are competent with computer terms and concepts believe they have a special talent in using computers”; “those who believe they have a special talent in using computers feel as if the computer is part of their body”, and “students who have been using computers for more than six years believe they have a special talent in using computers”.
关键词：Educational sciences;data mining