@article{ART003317093},
author={Sun-Young Bae and Jung, Heo-kyung},
title={A Study on LLM API-Based Mathematical Learning Support System for Visually Impaired Students},
journal={ Journal of Software Forensics},
issn={3092-541X},
year={2026},
volume={22},
number={1},
pages={41-55}
TY - JOUR
AU - Sun-Young Bae
AU - Jung, Heo-kyung
TI - A Study on LLM API-Based Mathematical Learning Support System for Visually Impaired Students
JO - Journal of Software Forensics
PY - 2026
VL - 22
IS - 1
PB - Korea Software Assessment and Valuation Society
SP - 41
EP - 55
SN - 3092-541X
AB - The purpose of this study is to explore the possibility that the LLM API-based interactive explanation and problem generation system can contribute to the improvement of learning ability and learning accessibility of visually impaired students. To this end, a Generative AI-based learning support system was designed and developed to reconstruct mathematical concepts and generate step-by-step example problems according to the context of learners' questions. As a result of application, language-oriented sequential explanations and step-by-step problem-generating structures tended to promote conceptual understanding and improve problem-solving accuracy. In addition, the repetitive confirmation and interaction process strengthened the sense of learning control and self-direction, confirming the possibility of an efficient learning support system.This system can substantially expand accessibility and alleviate the information gap in a digital-based learning environment by structuring the entire learning process beyond simple replacement of information. However, since there is a limitation of small-scale development research, it is necessary to systematically verify the learning effect and policy applicability through long-term and large-scale empirical research in the future.
KW - LLM API;math achievement;access to learning;learning support;digital divide
DO -
UR -
ER -
Sun-Young Bae and Jung, Heo-kyung. (2026). A Study on LLM API-Based Mathematical Learning Support System for Visually Impaired Students. Journal of Software Forensics, 22(1), 41-55.
Sun-Young Bae and Jung, Heo-kyung. 2026, "A Study on LLM API-Based Mathematical Learning Support System for Visually Impaired Students", Journal of Software Forensics, vol.22, no.1 pp.41-55.
Sun-Young Bae, Jung, Heo-kyung "A Study on LLM API-Based Mathematical Learning Support System for Visually Impaired Students" Journal of Software Forensics 22.1 pp.41-55 (2026) : 41.
Sun-Young Bae, Jung, Heo-kyung. A Study on LLM API-Based Mathematical Learning Support System for Visually Impaired Students. 2026; 22(1), 41-55.
Sun-Young Bae and Jung, Heo-kyung. "A Study on LLM API-Based Mathematical Learning Support System for Visually Impaired Students" Journal of Software Forensics 22, no.1 (2026) : 41-55.
Sun-Young Bae; Jung, Heo-kyung. A Study on LLM API-Based Mathematical Learning Support System for Visually Impaired Students. Journal of Software Forensics, 22(1), 41-55.
Sun-Young Bae; Jung, Heo-kyung. A Study on LLM API-Based Mathematical Learning Support System for Visually Impaired Students. Journal of Software Forensics. 2026; 22(1) 41-55.
Sun-Young Bae, Jung, Heo-kyung. A Study on LLM API-Based Mathematical Learning Support System for Visually Impaired Students. 2026; 22(1), 41-55.
Sun-Young Bae and Jung, Heo-kyung. "A Study on LLM API-Based Mathematical Learning Support System for Visually Impaired Students" Journal of Software Forensics 22, no.1 (2026) : 41-55.
