2025/03/06 by Tian‐Yang Zhang, Zhang, Tianyang, Zhuoxuan Jiang +7 · 1 citation
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Mathematics, Computing, and Information Processing #Statistics Education and Methodologies
paper · pdf · doi:10.48550/arxiv.2503.04291
openalex publication_date 2025/03/06 · openalex created_date 2025/10/14 · openalex updated_date 2026/07/28
We propose a novel system, MathMistake Checker, designed to automate step-by-step mistake finding in mathematical problems with lengthy answers through a two-stage process. The system aims to simplify grading, increase efficiency, and enhance learning experiences from a pedagogical perspective. It integrates advanced technologies, including computer vision and the chain-of-thought capabilities of the latest large language models (LLMs). Our system supports open-ended grading without reference answers and promotes personalized learning by providing targeted feedback. We demonstrate its effectiveness across various types of math problems, such as calculation and word problems.