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http://dx.doi.org/10.7468/jksmee.2019.33.3.275

Analysis of trends in mathematics education research using text mining  

Jin, Mireu (Graduate School of Education Ajou University)
Ko, Ho Kyoung (Department of Mathematics Graduate School of Education Ajou University)
Publication Information
Communications of Mathematical Education / v.33, no.3, 2019 , pp. 275-294 More about this Journal
Abstract
In order to understand the recent trends in mathematics education research papers, data mining method was applied to analyze journals of the mathematics education posterior to the year of 2016. Text mining method is useful in the sense that it utilizes statistical approach to understand the linkages and influencing relationship between concepts and deriving the meaning that data shows by visualizing the process. Therefore, this research analyzed the key words largely mentioned in the recent mathematics education journals. Also the correlation between the subjects of mathematics education was deduced by using topic modeling. By using the trend analysis tool it is possible to understand the vital point which researchers consider it as important in recent mathematics education area and at the same time we tried to use it as a fundamental data to decide the upcoming research topic that is worth noticing.
Keywords
text mining; topic modelling; trend analysis;
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Times Cited By KSCI : 10  (Citation Analysis)
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