LMS 기반 「한국어교육학연구」 수업에서 AI 활용에 대한 시론적 검토 : 텍스트 요약 및 질문ㆍ답 생성하기 중심으로
An Exploratory Study on AI Utilization in LMS-Based 「Studies in Korean Language Education」Courses : Centered on Text Summarization and Question and Answer Generation.
This study proposes and examines strategies for integrating Artificial Intelligence(AI) into an LMS-based course, 「Research in Korean Language Education」, to enhance learners’ text summarization and question-answer generation skills. A three-stage instructional model was implemented with academic-purpose learners, followed by a survey to evaluate learning outcomes and perceptions. Throughout the course, AI served as a comparative tool against learners’ self-generated ideas. The findings yield three pedagogical implications for AI integration. First, in text summarization, AI-generated outputs should be critically compared with learners’ summaries to foster discovery learning. Second, course design must systematically align summarization and question-answer tasks with the enhancement of four core comprehension skills. Third, instructional emphasis should fall on constructive feedback and discussion rather than output generation alone. This study demonstrates how AI-assisted instruction can promote discovery learning and heuristic thinking among learners of Korean for academic purposes.
목차
Abstract 1. 서론 2. 「한국어교육학연구」수업의 특징과 수업 설계 2.1. 「한국어교육학연구」수업의 특징 2.2. 「한국어교육학연구」수업에서 AI 활용 수업 모형 설계 3. 「한국어교육학연구」수업에서 AI 활용 설문조사 결과 3.1. 설문지 설계와 학습자 기본정보 3.2. 설문조사 결과와 특징 4. 「한국어교육학연구」수업에서 AI 활용 방안 4.1. AI 활용을 위한 원리 구성 4.2. AI 활용 사례 및 효과 5. 결론 참고문헌