このエントリーをはてなブックマークに追加
ID 36831
file
title alternative
Analysis of Free Description Data in an English Class Using Text Mining
creator
NDC
Education
abstract
The purpose of this paper is to investigate students’ reactions to re-presented TED conference presentations. A text mining method was used to analyze the data for this research. Text mining is a way to discover knowledge from text data. It is widely used not only in medicine and finance, but also in the humanities. Free software that allows quantitative analysis of free description responses is available.  

In this study, the text data that were collected from the students in an English classroom were analyzed with the “KH Corder” software, which allows processing of the data, calculation of word frequency, extraction of colloquial expressions, and visualization of the data. As a result, the frequencies of particular words such as “time,” “remember,” “content,” and “difficult” were high. This result indicates that the students did not set aside enough time to prepare for the presentation, taking more time for their own research activity than for studying English, and that they had difficulty understanding and keeping up with what the speaker said in a presentation. This means that clear guidance on how to use and learn materials should be provided to students learning languages.
journal title
Hiroshima Studies in Language and Language Education
issue
Issue 18
start page
55
end page
64
date of issued
2015-03-01
publisher
広島大学外国語教育研究センター
issn
1347-0892
ncid
language
jpn
nii type
Departmental Bulletin Paper
HU type
Departmental Bulletin Papers
DCMI type
text
format
application/pdf
text version
publisher
rights
Copyright (c) 2015 広島大学外国語教育研究センター
department
Institute for Foreign Language Research and Education
他の一覧