Investigating EFL College Students’ English Writings Produced by AI-Based Machine Translation

• 영문명: Investigating EFL College Students’ English Writings Produced by AI-Based Machine Translation
• 발행기관: 한국외국어교육학회
• 저자명: 백지연 나경희
• 간행물 정보: 『Foreign Languages Education』Vol.30 No.2, 1~24쪽, 전체 24쪽
• 주제분류: 사회과학 > 교육학
• 파일형태: PDF
• 발행일자: 2023.06.30

영문 초록

The purpose of this research was to investigate the characteristics of Korean college students’ writings, which have been produced without or with the help of machine translation tool in the classroom. Specifically, this research attempted to investigate the linguistic characteristics of the students’ writings, and types of errors identified in the writings. Twelve pieces of writings from three college students were collected for analysis. Two online word analysis programs, Word Counter (2023) and LIWC-22 (2023), were employed for data analysis. The findings of data analysis found out that 1) The students’ drafts consisted of 22.8 sentences including 303.9 words in 3.6 paragraphs on average. 2) In the students’ drafts, ‘unique’ words (46.8%) were included a lot more than ‘difficult’ words (27%), and students tended to write their essay writings in an unfiltered or impromptu way rather than an analytical way regardless of their English language proficiency levels. 3) The highest frequency of errors was seen in grammatical errors (41.7%) followed by lexical errors (31.6%). Based on the research findings, pedagogical implications and suggestions for the effective use of machine translation in English writing classes were presented.

목차

Ⅰ. Introduction

Ⅱ. Literature Review

Ⅲ. Methodology

Ⅳ. Results and Discussion

Ⅴ. Concluding Remarks

References

키워드

영어쓰기 EFL 대학생 AI기반 기계번역기 활용 자기교정 English writing EFL college students AI-based use of machine translation self-revision