The Korean Association for the Study of English Language and Linguistics

Korean Journal of English Language and Linguistics - Vol. 19 , No. 4
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Korea Journal of English Language and Linguistics - Vol. 19, No. 4, pp. 858-879
Abbreviation: KASELL
ISSN: 1598-1398 (Print)
Print publication date 31 Dec 2019
Received 15 Nov 2019 Revised 10 Dec 2019 Accepted 19 Dec 2019
DOI: https://doi.org/10.15738/kjell.19.4.201912.858

소셜 빅데이터 분석을 통해 알아본 대중의 ‘조기영어교육’에 관한 인식: 유튜브를 중심으로
권은영
육군사관학교

Public perception of ‘early English education’ through an analysis of social media big data: Focusing on YouTube
Kwon, Eun-Young
Funding Information ▼
Abstract

The present study was intended to explore the Korean public’s perceptions of ‘early English education’ through an analysis of social media big data. For this purpose, texts containing the phrase ‘early English education’ from YouTube were extracted and analyzed by employing network, frequency, and semantic analyses. The study revealed that (1) The Korean public with interest in early English education seems to be more keen in effective ways to execute the learning (e.g., place and/or agent of the early English education) than useful educational activities and programs; (2) ‘English with Mom!’ is currently leading the trend of ‘early English education’ in Korea, substituting the place for ‘Geese fathers’; and (3) The results of the LDA modeling show that the majority of the selected YouTube clips on ‘early English education’ in the study concern the background information and/or updated news on early English education, indicating that the Korean public desires a consistent government policy on this issue as agreed upon by both education authorities and researchers. Finally, the present study offered implications of educational policies for successful implementation of ‘early English education,’ as well as future research directions derived from the results of the study.

Keywords: early English education, child second language acquisition, after-school program, kindergarten, social media big data analysis, text mining
Acknowledgments

본 논문은 육군사관학교 화랑대연구소의 2019년도 논문출판비 지원을 받아 연구되었습니다.

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권은영(Kwon, Eun-Young), 교수(Professor)육군사관학교 영어과(Dept. of English, Korea Military Academy)(01805) 서울시 노원구 사서함 77-1(Mailbox No. 77-1, Nowon-gu, Seoul 01805)Tel: 02-2197-2641Email: eykwon@mnd.go.kr