Development and Application of a Chatbot for University-level Calculus Learning
Abstract
This paper introduces an AI-powered calculus chatbot, ‘Solgit’, designed to support college-level math education through both in-class and self-directed learning. Using Retrieval Augmented Generation (RAG) technique, the ‘Solgit’ chatbot provides accurate responses by linking subject-specific materials. The chatbot offers diagnostic tests, tailored precalculus reviews, and generates diverse calculus problems with solutions. It supports student-led learning by allowing instructors to assign weekly keywords for exploration. Students can study, organize concepts, and collaborate with classmates anytime. Practical examples show that this calculus chatbot enhances engagement and learning efficiency, demonstrating the potential of subject-specific generative AI as an effective, affordable tool in higher education. In this paper, we share the contents and experiences that we have tried. The chatbot was developed first in Korean, but has the potential to adapt to other languages.
Keywords: Artificial Intelligence (AI), Chatbot, Calculus, College Mathematics Education
How to Cite:
Lee, J., Park, D., Lim, D. & Lee, S., (2025) “Development and Application of a Chatbot for University-level Calculus Learning”, Ohio Journal of School Mathematics 101(1), 71-82. doi: https://doi.org/10.18061/ojsm.6571
Downloads
Download PDF
View
PDF