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Analysis on Trends of Studies in Special Education Using Semantic Network Analysis

  • Journal of Special Education: Theory and Practice
  • Abbr : JSPED
  • 2015, 16(1), pp.281-306
  • Publisher : Research Institute of the Korea Special Education
  • Research Area : Social Science > Education

강정배 1

1대구대학교

Accredited

ABSTRACT

With the development of special education, a large number of research papers were published and the quality of the papers have significantly improved through the system of the Korea Citation Index (KCI). As of now, a total of 10,650 papers were published on 16 journals related to special education. The Semantic Network Analysis, a technology in the IT field, was used to investigate the research trend by analyzing the entire papers related to special education. Of the 10,650 papers, an analysis was conducted on 6,954 papers that have digitalized information, such as title and publication information, for the period between 1997 and 2014. Results of the analysis suggested that the frequency of using such words as ‘influence,’ ‘effect’ and ‘analysis’ was the highest at 38%, and that of the studies related to ‘program’ was also high. The proportion of studies on ‘inclusive education’ has been declining since 2009, while the association among words was higher in ‘program + development,’ ‘characteristics + comparison’ and ‘infant + intervention.' As for the yearly research trend in every 4 - 5 years, the proportion of studies on disability has decreased since the late 2000s, while that of studies on ‘program’ and ‘characteristics + comparison’ has increased. In particular, since the start of the 2000s, the word 'focus,' which limits the scope of studies, has been increasingly used. Also, the studies between 2006 and 2010 were characterized by increased studies on ‘disability + children + effect’ and ‘focused on-, perception + analysis.’

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