In this study, we reconsidered various research articles that analyzed conversational data as "conversational data analysis," which is a more comprehensive framework. Then, we analyzed the chronological trends of 170 research articles that utilized conversational data analysis in the Journal of Japanese Language Teaching (Nihongo Kyōiku) Volumes 1-153.
First, we analyzed chronological trends of the articles according to the following points: 1) ratio of articles, 2) data situations (native/native, native/non-native, or both), 3) kinds of data. Adding to these results, we closely examined the items that each article analyzed, while considering the historical and social conditions of Japanese language education of each period. As a result, we found that the ratio of conversational data analysis articles has been increasing, and the analyses in each article have become more specialized and detailed since the 1980s. Moreover, the articles that insist on applying the results of conversational data analysis to educational practice have been increasing since the 1980s.
Based on these results, we suggest the importance of cooperation and sharing the knowledge of conversational data analysis among various research fields in order to apply the results of specialized and detailed research to increasingly diverse educational practice.
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