A Keyword Network Analysis on research in Literature for Early Childhood

Ju, Hyun Jung

doi:10.22251/jlcci.2020.20.18.411

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…키워드 네트워크 분석을 활용하여 특정 전문 학술지에 대한 연구동향을 분석한 선행 연구에는 '상담학 연구' , '언어치료연구' , '지적장애연구' (Yi & Kim, 2017), '열린유아교육연구' (Yang, 2019), '특수교육연구' (Yi & Park, 2019), '정서•행동장애연구' (Yang & Lee, 2021), '한국 청각•언어장애교육연구' (Kim, 2021), '한국사회복지학 (Kim & Chung, 2022) 등이 있다. 그 외 특정 학문 분야나 주제에 대한 연구동향 분석에 키워드 네트워크를 활용한 선행 연구에는 문헌 정보학 (Cho, 2011), 교육학 (Cho & Kim, 2016), 지적장애 (Yi & Cha, 2018), 유아문학교육 (Ju, 2020), 작업치료 (Oh et al, 2021), 예술심리치료 (Moon & Nam, 2022)…”

unclassified

A Study on Research Trends in 『Audiology and Speech Research』 Using Keyword Network Analysis

Cho

Kim

2023

Audiol Speech Res

View full text Add to dashboard Cite

Purpose: The purpose of this study was to investigate the research trends of papers published in ‘Audiology and Speech Research’ and to obtain implications for the direction of research.Methods: Data were collected from 2005 to 2022 articles research information sharing service (RISS) which is provided by Korea education and Korea Citation Index (KCI). After extracting and cleansing keywords, the frequency, centrality, and visualization data analysis for keywords were performed using KrKwic & NodeXL programs.Results: According to the results of keyword frequency analysis, ‘hearing aid’ showed the highest frequency, followed by ‘hearing loss’, ‘noise’, and ‘cochlear implant’, etc. As a result of the keyword centrality analysis, it was found that the centrality was particularly high in ‘hearing aid’, ‘hearing loss’, ‘word recognition’, ‘cochlear implant’, ‘sensorineural hearing loss’, ‘auditory training’, ‘aural rehabilitaion’.Conclusion: The results of this study will provide useful data for understanding current research trends in ASR and further suggesting new research directions in the field of audiology and speech pathology.

show abstract