Journal of Special Education: Theory and Practice 2023 KCI Impact Factor : 1.96
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pISSN : 1598-060X / eISSN : 2734-0090
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Review of Research Trends regarding Vocabulary Intervention Using Keyword Network Analysis
- Journal of Special Education: Theory and Practice
- Abbr : JSPED
- 2021, 22(3), pp.199-234
- DOI : 10.19049/JSPED.2021.22.3.09
- Publisher : Research Institute of the Korea Special Education
- Research Area : Social Science > Education
- Received : August 15, 2021
- Accepted : September 13, 2021
- Published : September 30, 2021
Lee, Mikyung
1,
HONG, JEONG-SUK
2,
SUNG-WOOK HONG
2,
MOON, DONG-OH
2
1대구대학교 한국특수교육문제연구소
2대구대학교
Accredited
ABSTRACT
[Purpose] This study was to examine the trends of vocabulary intervention research by conducting keyword network analysis. [Method] To investigate the research trends of vocabulary intervention, 78 articles related to vocabulary intervention were collected from the databases of the Academic Research Information Service and the Korean Journal of Citation Index. After keyword refinement was perfomrmed using textome, the keyword frequency, weight, term frequency-inverse document frequency, and keyword co-occurrence frequency (N-gram) were analyzed. [Results] First, 2011 and 2016 were identified to be years in which vocabulary intervention was most active. The journal with the most articles related to vocabulary intervention was Journal of speech & hearing disorders. Moreover, vocabulary intervention was found to be performed was found mostly with infants and lower elementary school students. Second, the keywords “vocabulary improvement” and “children” showed the highest frequency among 172 major keywords related to vocabulary intervention. As a result of the TF-IDF analysis of lexical intervention keywords, “children” was found to have the highest number, followed by infants. As for the frequency of N-gram (co-appearance), the analysis indicated that “vocabulary improvement and children”, “children with language development delay and vocabulary improvement”, and “vocabulary improvement” appeared simultaneously in the highest order. Third, as a result of the network centrality analysis, a total of eight groups were derived. In each group, related keywords were aggregated by subject. [Conclusion] This study, which objectively analyzed the trends of vocabulary intervention-related research, can be used as basic data to explore the direction of vocabulary intervention-related research in the future.
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This paper was written with support from the National Research Foundation of Korea.