Can text mining technique be used as an alternative tool for qualitative research in education?

Carl Lee, Chin-I Cheng, A. Zeleke
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引用次数: 2

Abstract

Qualitative research methodology is commonly used for education research. The main advantage is that it is capable of gaining more rigorous insights of research objectives when compared with quantitative research. However, due to the extensive time required, the sample size for a qualitative research is usually very small, and can be as small as two subjects. As a consequence, the results are difficult to be inferred to the population. Text mining methodology is a modern technique to analyze text data. It has been successfully applied to a wide variety of business problems. However, it has not yet been applied as a tool for qualitative research in education. In this study, we attempt to apply text mining method to analyze students' written reasons of a question related to the concept of variation. Four sections of an introductory statistics course participated in the study (n = 218). The results suggest text mining method can be an alternative, if applied appropriately. The strength and weakness of using text mining for qualitative research are investigated.
文本挖掘技术能否作为教育定性研究的替代工具?
定性研究方法是教育研究中常用的方法。它的主要优点是,与定量研究相比,它能够获得更严格的研究目标见解。然而,由于需要大量的时间,定性研究的样本量通常非常小,可以小到两个受试者。因此,这些结果很难向大众推断出来。文本挖掘方法是一种分析文本数据的现代技术。它已经成功地应用于各种各样的商业问题。然而,它尚未被用作教育定性研究的工具。在本研究中,我们尝试运用文本挖掘方法来分析学生对变异概念相关问题的书面原因。统计学入门课程的四个部分参与了研究(n = 218)。结果表明,如果应用得当,文本挖掘方法可以成为一种替代方法。探讨了文本挖掘在定性研究中的优缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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