생성형 AI 챗봇 활용 맞춤형 학습 지원 대규모 온라인 수업 설계 = Instructional design for MOOC supporting personalized learning using Gen-AI chatbot

다국어 초록 (Multilingual Abstract)

This study explored the design and usability of a generative AI chatbot-based system to support personalized learning in Massive Open Online Courses (MOOCs). In this study, a design and development research methodology was applied, and the RPISD model was used to conduct needs analysis, iterative prototyping, and usability testing. The study produced five main outcomes: a course syllabus, a generative AI chatbot, learning materials, a learner manual, and an instructor manual. The chatbot was intended to provide personalized feedback based on a structured knowledge base built from course materials. The manuals guided learners and instructors on effective interaction with the chatbot and described procedures for its use. In addition, learning data were analyzed to identify potential risks of dropout, and strategies for timely intervention were suggested. This combination of personalized feedback and intervention strategies aimed to foster learner engagement and persistence in MOOCs. Overall, the study offers insights into how generative AI can be integrated into MOOCs as a sustainable framework for learner support, which may guide future personalized learning practices.