시각장애 학습자를 위한 LLM API 기반 수학 학습 지원 시스템 연구 = A Study on LLM API-Based Mathematical Learning Support System for Visually Impaired Students

다국어 초록 (Multilingual Abstract)

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.