컴퓨터보조통역교육(CAIT)을 위한 LMS 기반 자동 어노테이션 저작 도구 개발

다국어 초록 (Multilingual Abstract)

This study focuses on the development of a learning management s ystem (LMS)-based automatic annotation authoring tool for computer -assisted interpreter training (CAIT). The primary goal of the research is to establish a specialized LMS that integrates AI-powered speech-to -text (STT) and automatic annotation functionalities to create an effici ent feedback system. Through the use of external APIs (Application P rogramming Interface), the tool implements automatic detection of di sfluency elements such as fillers, pauses, and repetitions in STT-gen erated interpreting outputs, which are visualized using a TextAE (Tex t Annotation Editor) program. Additionally, the system enhances obj ectivity in evaluation by providing visualized assessment results and supports autonomous practice for learners through a self-study featu re. The significance of this study lies in its effective application of AI technologies to interpreter training, enabling an integrated system th at encompasses task creation, execution, and evaluation in one platf orm. It is anticipated that this research will contribute to the digital tr ansition of interpreter training and improve educational efficiency.

목차 (Table of Contents)

• 1. 서론
• 2. 선행 연구
• 2.1. 통역 교육 플랫폼으로서의 CAIT
• 2.2. 통역 교육용 저작 도구로서의 CAIT
• 3. 시스템 설계 및 구현
• 3.1 시스템 아키텍처와 사용자 인터페이스
• 3.2. 개발 및 구현
• 4. 연구 결과
• 4.1. 교수자 과제 생성 모듈
• 4.2 학습자 과제 수행 모듈
• 4.3. 교수자 과제 피드백 모듈
• 5. 논의 및 결론
• 참고문헌