토픽 모델링을 활용한 한국어 말하기 교육 연구의 동향 분석

• 영문명: Trend Analysis of Research on Korean Speaking Education Using Topic Modeling: Focusing on Research in Korea
• 발행기관: 국제한국어교육학회
• 저자명: 박영훈
• 간행물 정보: 『한국어교육』31권 4호, 55~82쪽, 전체 28쪽
• 주제분류: 어문학 > 한국어와문학
• 파일형태: PDF
• 발행일자: 2020.12.31

영문 초록

The study analyzes trends in Korean speaking education from 1987 to 2020. A total of 742 studies were analyzed by text data, extracting topics and key words with high potential associations over time with Topic Modeling techniques. According to the analysis, studies of speaking Korean has improved both in quantity and quality since 2011. While previous studies focused on enabling the actual use of speaking knowledge acquired in everyday life, this changed over time to academic purpose-oriented or discussion-oriented research in a particular language region. In particular, speech evaluation studies have been continuing since the beginning to the present, and the trend has been changing from development studies to scoring comparison studies. As a future task, variable studies should be conducted on the review and evaluation environment to strengthen the validity and reliability of speaking questions. It is also necessary to study speaking for multilingual learners with diverse purposes in academic speaking research. Moreover, research on speaking has a strong identity between each topic and key words and therefore, it is necessary to strengthen convergence and linkage with other topics.

목차

1. 서론

2. 연구 방법 및 절차

3. 토픽 모델링을 활용한 한국어 말하기 교육 핵심어 분석

4. 시각화 기법을 통한 말하기 교육 연구 분석 및 향 후 연구 방향

5. 결론

참고문헌

키워드

한국어교육 말하기 교육 연구) 연구동향 분석 텍스트 마이닝 토픽 모델링 비지도 학습 Korean language education Speaking Education Study Research Trend Analysis Text Mining Topic Modeling Unsupervised Learning