Math Question

Current research focuses on leveraging large language models (LLMs) to improve the generation, assessment, and understanding of mathematical questions, addressing the limitations of traditional manual methods. Key areas include automating the creation of diverse and challenging math problems, developing automated feedback systems for open-ended questions, and improving the accuracy of LLM-based knowledge tagging and error classification. These advancements have implications for educational technology, enabling personalized learning experiences and more efficient assessment, while also contributing to a deeper understanding of LLMs' capabilities and limitations in mathematical reasoning.