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...
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.