디지털융복합연구 (Journal of Digital Convergence)

  • 제17권1호
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  • Pages.91-98
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  • 2019
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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키워드 네트워크 분석을 통한 난독증과 학습장애 관련 연구 동향 분석

A Study on the Research Trend in the Dyslexia and Learning Disability Trough a Keyword Network Analysis

  • 이우진 (광주여자대학교 언어치료학과) ;
  • 김태강 (남부대학교 유아특수교육과)
  • Lee, Woo-Jin (Department of Speech-Language Pathology, Gwangju Women's University) ;
  • Kim, Tae-Gang (Department of Early Childhood Special Education, Nambu University)
  • 투고 : 2018.11.30
  • 심사 : 2019.01.20
  • 발행 : 2019.01.28
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초록

본 연구는 난독증과 학습장애 관련 연구 동향과 키워드 네트워크 분석을 통한 관련 변인의 중심성을 알아보는데 그 목적이 있다. 2008년부터 2018년까지 학술교육학술정보원에서 제공하는 학술연구정보서비스 사이트 데이터베이스를 활용하여 연구 목록을 수집하였다. 분석대상으로 선정된 407편의 연구 주제는 키워드 클렌징 작업을 거쳐 KrKwic 프로그램을 이용하여 주요 키워드를 추출하였고 키워드 간 연결중심성을 시각화를 하기 위해 NodeXL프로그램을 활용하였다. 분석결과 다음과 같은 연구결과를 도출하였다. 첫째, 난독증과 학습장애 연구주제 총 72개의 키워드가 추출되었고 주요키워드에는 학습장애, 읽기장애, 난독증, 중재반응모형 순으로 제시하고 있었다. 둘째, 난독증과 학습장애의 관련 매개 키워드 중심성을 분석한 결과 학습장애가 국내 난독증 및 학습장애 관련 연구에서 주요한 키워드로 볼 수 있다. 이러한 연구결과를 통해 난독증과 학습장애와 관련해 정량적 분석과 정성적 분석을 절충한 연구동향 분석방법을 제시하였다는 점에서 의의가 있다고 할 수 있다.

The present study was performed to investigate the general research trends of dyslexia and learning disability to explore the centrality of related variables though analysis of keyword networks. Data were collected from ten years articles research information sharing service(RISS) which is provided by korea education and research information service(KERIS). The research subjects selected for the analysis were keyword cleansing work, extraction major keyword using KrKwic program and using NodeXL program to Visualize the center of connection between keyword. The results of this were as follows. First, totally 72 of keyword were extracted from keyword cleansing process and among those keyword. major keywords included learning disability, dyslexia, RTI. Second, analysis of the betweenness centrality of dyslexia and learing disabilities shows that learning disabilities are a key word that has been addressed in the study of dyslexia and learning disabilities in korea. The results of these studies suggest a method of analyzing trends in qualitative and qualitative analysis in relation to dyslexia and learning disorder.

키워드

DJTJBT_2019_v17n1_91_f0001.png 이미지

Fig. 1. Network map by Wakita-Tsurumi algorithm

Table 1. Research status by year

DJTJBT_2019_v17n1_91_t0001.png 이미지

Table 2. Procedure of analysis

DJTJBT_2019_v17n1_91_t0002.png 이미지

Table 3. The frequency of key words

DJTJBT_2019_v17n1_91_t0003.png 이미지

Table 4. Centrality analysis of key words

DJTJBT_2019_v17n1_91_t0004.png 이미지

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