Earticle

초록

영어

The purpose of this study was to analyze research trends in English vocabulary learning. From 2011 to 2022, two hundred and six articles were collected through Biblio Data Collector by Netminer and the information about the publication year, authors, keywords, abstracts was analyzed by text mining. Text mining is a tool for objectively analyzing atypical data like articles and figuring out key words. Frequency analysis and centrality analysis (degree centrality, closeness centrality, and betweenness centrality) were conducted. Therefore, more diversified approaches for analyzing data were obtained. Finally, topic modeling analysis was carried out for extracting potential themes. The findings are following: at first, the words that appeared the most frequently in data were ‘learner (297)’, ‘effect (288)’, ‘strategy (282)’, ‘result (244)’, and ‘level (198)’. Secondly, the theme extracted from Topic Modeling was about ‘learning vocabulary in a more practical way‘. According to the result, educational implication was discussed.

목차

Ⅰ. 서론
Ⅱ. 이론적 배경
A. 영어 어휘 교육
B. 토픽 모델링을 활용한 연구
Ⅲ. 연구 방법
A. 연구대상
B. 연구방법
Ⅳ. 결과
A. 빈도분석
B. 중심성 분석
C. 토픽 모델링
Ⅴ. 교육적 함의
인용문헌
Abstract

키워드

저자

• 이은혜 [ Eun Hye, Lee | 부경대학교 강사 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  영어영문학21 [English21]

• 간기

  계간

• pISSN

  1738-4052

• 수록기간

  1967~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 840 DDC 820