Earticle

초록

영어

This study presents the intermediate results of an ongoing action research project on a business interpreting class model using ChatGPT. The focus is on providing structured guidance for the acquisition of domain-specific knowledge and interpreting skills in the domain of business interpreting. To address the issue of ‘hallucination’ in ChatGPT, the model used an external domain-specific textbook as course material and input data for the generative AI prompts. The resulting AI-generated role-play scripts were used in weekly lectures at a graduate-school in Seoul. Thirty-six students in four classes took turns interpreting in the new class design. The following research questions were addressed through literature review, output generated using prompts, anonymous post-training surveys, and instructor observation notes: (1) How can a class model for business interpreting practice be designed and implemented using ChatGPT? (2) What are the students’ responses? (3) How can the class model be improved further? Various class data and anonymous post-training survey data were analyzed to gain insight into the learners’ experience with the new class model and how it may be enhanced for future iterations.

목차

1. 서론
2. 이론적 배경
2.1. 비즈니스 통역
2.2. 교수 도구로서의 챗GPT
3. 수업 모델
3.1 수업 모델의 개발
3.2 수업 모델의 실행
4. 결과 및 논의
4.1 연구질문 1
4.2 연구질문 2
4.3 연구질문 3
5. 결론
참고문헌

키워드

저자

• 진실희 [ Jin, Silhee | 중앙대학교 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  통번역학연구 [Interpreting and Translation Studies]

• 간기

  계간

• pISSN

  1975-6321

• eISSN

  2713-8372

• 수록기간

  1997~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 717 DDC 400