국내 수학 챗봇 관련 연구에 대한 주제범위 문헌고찰: 신흥 학문분야 및 후속 연구 탐구
A scoping review of domestic research on math chatbots: Exploring emerging academic fields and directions for future research
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초록
본 연구는 국내에서 수행된 수학 챗봇 관련 연구 19편을 대상으로 주제범위 문헌고찰(scoping review) 연구를 수행하였다. 이를 통해 수학 챗봇 연구에 나타난 연구 주제와 유형, 수학 내용과 선정 기준, 연구 방법, 챗봇의 역할과 디자인 원리, 챗봇 관련 기술, 교사와 학생의 역할에 대하여 분석하였다. 이러한 분석을 통해 수학 챗봇 연구 생태계의 현황과 성장 잠재력을 확인하였고, 다음과 같은 후속연구의 방향성을 도출하였다. 첫째, ‘인공지능과 융합을 주제로 한 연구’, ‘탐구 연구’, ‘기하영역 연구’, ‘문헌 연구’를 충분히 확대해야 하는 필요성을 확인하였다. 둘째, 맞춤형 교수자 챗봇의 안전성에 대한 합의와 이러한 챗봇을 구현하기 위한 기술 솔루션을 마련하는 후속 연구가 필요하였다. 셋째, 교사의 AI・챗봇 윤리 관리감독자 역할과 학생의 AI・챗봇 윤리 준수자 역할에 대한 후속 연구가 확대될 필요가 있었다. 넷째, 챗봇이 통합된 교수・학습 환경에서교사의 주목하기(noticing)와 전문내용지식(specialized content knowledge, SCK)에 대한 연구, 챗봇이 학생의 사고에미치는 영향에 대한 연구를 충분히 확대할 필요가 있었다. 마지막으로 향후 챗봇 연구가 충분히 축적되었을 때 수행될 필요가 있는 체계적 문헌 고찰을 위한 연구 주제를 도출하였다. 본 연구는 이러한 분석을 통해 국내 수학 챗봇 연구 생태계가 계속해서 체계적으로 성장할 수 있도록 구체적인 방향성을 제시하였다.
Abstract
This study conducted a scoping review of 19 studies on math chatbots conducted in South Korea. The study analyzed key research themes and types, mathematical content and its selection criteria, research methods, roles and design principles of chatbots, technologies employed in chatbots, and the roles of teachers and students in math chatbot research. Through this analysis, the current landscape and growth potential of the math chatbot research ecosystem were identified, leading to several directions for future research. First, ‘studies on AI and convergence’, ‘exploratory research’, ‘research on geometry content’, and ‘literature reviews’ should be expanded. Second, further studies should establish a consensus on the safety of personalized instructional chatbots and then develop technical solutions for their implementation. Third, additional studies are needed on teachers’ roles as ethical supervisors and students’ roles as ethical adherents regarding AI and chatbots. Fourth, future research should allocate adequate research resources to studies on teachers’ noticing and specialized content knowledge (SCK) in chatbot-based teaching and learning environments, as well as the impact of chatbots on students’ thinking processes. Finally, three research topics for a systematic literature review, which should be conducted once sufficient chatbot research has been accumulated, were suggested. The study provided specific directions to ensure the systematic and continuous growth of the math chatbot research ecosystem in South Korea through this analysis.
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