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

Carl Lee, Chin I. Cheng, Aklilu Zeleke

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publication2014 IEEE/ACIS 15th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2014 - Proceedings
EditorsSatoshi Takahashi, Ju Yeon Jo
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479956043
DOIs
StatePublished - 2014
Event15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2014 - Las Vegas, United States
Duration: Jun 30 2014Jul 2 2014

Publication series

Name2014 IEEE/ACIS 15th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2014 - Proceedings

Conference

Conference15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2014
Country/TerritoryUnited States
CityLas Vegas
Period06/30/1407/2/14

Keywords

  • Histogram
  • Misconception
  • Singular Value Decomposition
  • Text Cluster
  • Text Filtering
  • Variation

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