The Korean Association for the Study of English Language and Linguistics

Korean Journal of English Language and Linguistics - Vol. 24

[ Article ]
Korea Journal of English Language and Linguistics - Vol. 24, No. 0, pp. 277-304
Abbreviation: KASELL
ISSN: 1598-1398 (Print) 2586-7474 (Online)
Print publication date 31 Jan 2024
Received 21 Feb 2024 Revised 10 Mar 2024 Accepted 31 Mar 2024
DOI: https://doi.org/10.15738/kjell.24..202404.277

텍스트마이닝을 활용한 초등학생의 영어 낭독극에 대한 인식 분석
김솔 ; 권순보
효행초등학교
한국교원대학교

Exploring primary EFL students’ perspectives on reader’s theater using text mining
Sol Kim ; Soonbo Kwon
(First author) Teacher, Hyohaeng Elementary School (solkim@hyohaeng.es.kr)
(Corresponding Author) Lecturer, Dept. of Education, Korea National University of Education (sbkwon@knue.ac.kr)

© 2024 KASELL All rights reserved
This is an open-access article distributed under the terms of the Creative Commons License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The present study investigates the perspectives of primary EFL learners following their engagement in reader’s theater activities. It utilizes text mining and Latent Dirichlet Allocation (LDA) topic modeling analysis to analyze learning logs written by the students. A total of 196 Korean elementary school students participated in this year-long study. The students participated in six reader’s theater topics, each consisting of several practice periods. The scripts were two pages long of movie scripts. The researchers categorized the data using word frequency, network analysis, bigram analysis, and LDA analysis. The findings revealed three main topics: practice and changes, peer recognition, and realistic expression. The study discusses how students perceive the importance of iterating accurate pronunciation, reading challenging vocabulary, and expressing nonverbal cues. It also highlights the pedagogical benefits of reader’s theater, providing indirect exposure to various conversation contexts. Furthermore, it underscores the reflective effects of learning logs on fostering self-directed learning attitudes.


Keywords: text mining, topic modeling, LDA, learning journal, learning log, reader’s theater, EFL

References
1. 강민휘·박매란(Kang, M.-H. and M.-R. Park). 2013. 학습일지를 활용한 대학생의 영문법학습(Korean EFL university students’ English grammar learning through a learning journal). ≪현대영어교육≫(Modern English Education) 14-2, 313-340.
2. 강현아·임희석(Kang, H.-A. and H.-S. Lim). 2021. 토픽 모델링 및 주성분 분석 기반 검색 질의 유형 분류 연구(A study on search query topics and types using topic modeling and principal components analysis). ≪정보처리학회논문지. 소프트웨어 및 데이터 공학≫(KIPS Transactions on Software and Data Engineering) 10-6, 223-234.
3. 교육부(Ministry of Education). 2022. 영어과 교육과정. 교육부 고시 제2022-33호. 서울: 교육부.
4. 권은영(Kwon, E.-Y.). 2020. 파이썬과 텍스트 마이닝을 활용한 ESP 연구 동향 분석(A study of research trends in ESP using python and text mining). ≪외국어교육≫(Foreign Languages Education) 27-2, 111-139.
5. 권은영(Kwon, E.-Y.). 2022. 영어교육 교수 도구에 관한 연구 동향(Research trends of domestic studies on teaching tools in English language teaching). ≪영어학≫(Korean Journal of English Language and Linguistics) 22, 637-660.
6. 김솔·박선호(Kim, S. and S.-H. Park). 2022. 코로나 19로 인한 초등학생 영어학습결손 보완을 위한 낭독극 활용 실행 연구(Action research on using reader’s theater to alleviate English learning loss among elementary school students during COVID-19). ≪영어교육≫(English Teaching) 78-2, 165-192.
7. 김예원·최윤정(Kim, Y. and Y.-J. Choi). 2023. 키워드 네트워크 분석을 활용한 교사 역량 연구동향 분석: 코로나19 전후 학술지 논문을 중심으로(A study on research trends of teacher competency using the keyword network analysis: Focusing on papers in Korean academic journals before and after COVID-19). ≪교육비평≫(Education Review) 51, 348-392.
8. 김정렬·이현정·이제영(Kim, J.-R., H. Lee & J.-Y. Lee). 2018. 학습일지 활용이 영어 학습에 미치는 효과: 메타분석(Effects of utilizing learning journal on English language learning: A meta-analysis). ≪예술인문사회 융합 멀티미디어 논문지≫(Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology) 8-2, 433-443.
9. 김혜리(Kim, H.-R.). 2011. 『초등영어 읽기 쓰기 지도』(Teaching Reading and Writing in Primary Education). 파주: 교육과학사(Paju: Kyoyookbook).
10. 김혜리·김태영(Kim, H.-R. and T. Kim). 2010. 전래동화 활용 극화반응활동 기반 영어 수업이 초등 고학년 학습자에게 미치는 영향(Exploring a response-based primary English class using folktales for upper graders). ≪영어교육연구≫(English Language Teaching) 22-4, 103-131.
11. 박미애·이지영(Park, M. and J. Lee). 2022. ‘AI 펭톡’과 영어 원어민의 초등학생 영어 발음평가에 관한 비교연구(A study on the comparison of AI Pengtalk’s and English native speakers’ assessment of elementary students’ English pronunciation). ≪영어교과교육≫(Journal of the Korea English Education Society) 21-4, 67-90.
12. 박소영·이은주(Park, S. Y. and E.-J. Lee). 2014. 학습 일지를 활용한 영어 듣기 전략 훈련이 대학생의 듣기 능력 및 정의적 영역에 미치는 영향(The effects of English listening strategy training using a learning log on Korean EFL college students’ listening ability and affective domain). ≪영어학≫(Korean Journal of English Language and Linguistics) 14-1, 45-67.
13. 박은희(Park, E.). 2021. 텍스트 마이닝을 활용한 영어 쓰기교육 연구동향 분석(Topic analysis in EFL writing in Korea using text mining). ≪응용언어학≫(Korean Journal of Applied Linguistics) 37-3, 95-122.
14. 백영민(Baek, Y.-M). 2023. 『R 기반 네트워크 분석 : ERGM과 SIENA』 (R-based Network Analysis : ERGM and SIENA). 서울: 한나래 아카데미(Seoul: Hannarae Publishing).
15. 신유선·김양희(Shin, Y. and Y. Kim). 2020. 키워드 네트워크 분석을 활용한 영어교육관련 연구 동향 분석: 2000-2019년도까지 「영어교육연구」에 게재된 논문을 중심으로(Research and trends in English language education from 1990 to 2019: A keyword analysis of published articles in English Language Teaching). ≪영어교육연구≫(English Language Teaching) 32-4, 205-224.
16. 안경자(Ahn, K.). 2013. 예비 영어교사의 영어 학습 및 영어 능력 신장: 영어 학습일지 활용 사례 연구(Developing pre-service EFL teachers’ language learning and skills: A case study using English learning logs). ≪현대영어영문학≫(Modern Studies in English Language & Literature) 57-1, 139-166.
17. 안명숙·오익근(Ahn, M.-S. and I.-K. Oh). 2015. 네트워크 텍스트 분석 기법을 적용한 특급호텔 패키지 이용에 대한 태도 분석-포털사이트 활용-(Analysis of attitudes on using five-star hotel packages applying network text analysis method -using portal sites-). ≪관광연구≫(International Journal of Tourism Management and Sciences) 30-5, 168-181.
18. 우미혜·김지연(Woo, M. and J. Kim). 2023. AI펭톡 활용 수업이 초등학생 영어 발음 능력 향상과 정의적 영역에 미치는 효과(Effects of AI PengTalk classes on improvement of English pronunciation abilities and affective factors of elementary students). ≪현대영어교육≫(Modern English Education) 24, 26-44.
19. 원영국·김영우(Won, Y. and Y. Kim). 2021. 토픽 모델링을 활용한 한국 영어교육 학술지에 나타난 연구동향 분석(Analysis of research trends in Korean English education journals using topic modeling). ≪한국콘텐츠학회≫(The Journal of the Korea Contents Association) 21-4, 50-59.
20. 유원준·안상준(Yoo, W. and S. Ahn). 2024. 『딥 러닝을 이용한 자연어 처리 입문』(Introduction to Natural Language Processing Using Deep Learning). 과천: 위키독스(Gwacheon: WikiDocs).
21. 유진은(Yoo, J.-E.). 2021. 『(AI시대)빅데이터 분석과 기계학습』(AI, Big Data Analysis, and Machine Learning). 서울: 학지사(Seoul: Hakjisa).
22. 윤여범(Yoon, Y. B.). 2023. 교육과정의 변화에 따른 초등영어 교과서의 파닉스 비교・분석(Analysis of phonics in primary English textbooks in line with changes to the national curriculum). ≪영어영문학≫(The Mirae Journal of English Language and Literature) 28-1, 123-146.
23. 이수상(Lee, S). 2014. 언어 네트워크 분석 방법을 활용한 학술논문의 내용분석(A content analysis of journal articles using the language network analysis methods). ≪정보관리학≫(Journal of the Korean Society for Information Management) 31-4, 49-68.
24. 이완기(Lee, W.-K.). 2013. 『초등영어 지도법』(Methodology of Primary English Language Teaching). 성남: 제이와이북스(Seongnam: JYbooks).
25. 이예나·최인철(Lee, Y. and I.-C. Choi). 2022. 텍스트 마이닝을 활용한 영어 말하기 교수 및 학습의 연구 동향 분석: 매트릭스 분석과 토픽 모델링의 활용(Analysis of research trends utilizing text-mining on English speaking education and learning). ≪외국학연구≫(The Journal of Foreign Studies) 59, 103-132.
26. 이유진(Lee, Y.). 2020. 텍스트마이닝을 통한 중등교사 임용시험 영어교과교육학의 출제경향 분석: 2015-2019년 문항을 중심으로(Analyzing contents of the secondary school English teacher recruitment exam between 2015 and 2019 through text mining). ≪학습자중심교과교육연구≫(Journal of Learner-Centered Curriculum and Instruction) 20-8, 145-166.
27. 이윤(Lee, Y.). 2023. 초등영어 교사의 읽기지도 전문성: 교과지식, 신념, 실행(Elementary school English teachers’ professionalism for teaching literacy: Content knowledge, beliefs, and teaching practices). ≪외국어교육연구≫(Studies in Foreign Language Education) 37-1, 21-40.
28. 이준오(Lee, J.). 2023. 연극활동을 통한 감정적 몰입 경험이 도덕적 정체성 형성에 미치는 영향 (The effect of the emotional immersion through theater activity in the formation of moral identity). ≪초등도덕교육≫(Korean Elementary Moral Education Society) 83, 67-104.
29. 정승환·호예담·송영수(Jung, S.-H., Y.-D. Ho and Y.-S. Song). 2014. 핵심어 네트워크 분석(network analysis)을 통한 국내 HRD 연구동향 탐색(Exploration of HRD research trends through keyword network analysis). ≪HRD연구≫(The Korean Journal of Human Resource Development Quarterly) 16-3, 1-33.
30. 조경숙(Cho, K.-S.). 2003. 『초등영어 읽기·쓰기교육』(Reading and Writing in Primary English). 서울: 한국문화사(Seoul: Hankookmunhwasa).
31. 조규희(Jo, K.). 2021. 텍스트 마이닝 기반 초등영어 원격수업 연구 이슈 분석 및 연구 방향 탐색(An analysis of research issues and exploration of future research directions for online classes in primary English education based on text mining). ≪초등영어교육≫(Primary English Education) 27-2, 95-119.
32. 최경숙·마지현(Choi, K. S. and J. H. Ma). 2017. 학습일지가 영어 학습자의 시험 점수, 학습 동기 및 교수자의 수업 계획에 미치는 영향(The effects of learning logs on English language learners’ test scores, motivation, and a teacher’s lesson planning). ≪교과교육학연구소≫(Journal of Research in Curriculum Instruction) 21-3, 265-274.
33. 최진호·김희수·임남규(Choi, J., H. Kim and N. Im). 2011. 기술예측을 위한 특허 키워드 네트워크 분석(Keyword network analysis for technology forecasting). ≪지능정보연구≫(Journal of Intelligence and Information Systems) 17-4, 227-240.
34. 홍세희·조기현·이현정·손수경·김효진·윤미리·강윤경(Hong, S., K. Jo, H. Lee, S. Son, H. Kim, M. Yoon and Y. Kang). 2019. 키워드 네트워크 분석을 활용한 청소년의 회복탄력성 연구동향(Research trends in adolescent resilience using keyword network analysis). ≪한국청소년연구≫(Studies on Korean Youth) 30-2, 273-301.
35. Blei, D., A. Y. Ng and M. Jordan. 2003. Latent Dirichlet allocation. Journal of Machine Learning Research 3, 99-102.
36. Bora, S. F. 2021. Taking literature off page! The effectiveness of a blended drama approach for enhancing L2 oral accuracy, pronunciation and complexity. Language Teaching Research.
37. Girvan, M., and M. E. J. Newman. 2002. Community structure in social and biological networks. In Proceedings of the National Academy of Sciences of the United States of America 99(12), 7821-7826.
38. Hautala, J., M. Ronimus and E. Junttila. 2023. Readers’ theater projects for special education: A randomized controlled study. Scandinavian Journal of Educational Research 67(5), 663-678.
39. Jeon, M. and D. Lee. 2013. The effects of using creative readers’ theater scripts on primary English education. Primary English Education 19(3), 31-56.
40. Kumar, A., and A. Paul. 2016. Mastering Text Mining with R. Birmingham: Packt.
41. Newman, D., J. H. Lau, K. Grieser and T. Baldwin. 2010. Automatic evaluation of topic coherence, In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 100-108. Los Angeles: Association for Computational Linguistics.
42. Vygotsky, L. 1978. Mind in society. Harvard University Press.