Analysis of LLMs enhances problem-solving in mathematics teaching, suggesting benefits and hurdles for educators.
The influence of large language models (LLMs) has permeated education, too. We explored the opportunities and challenges of LLMs in mathematics teaching. In mathematics education, the generative nature of LLMs is appropriate for teachers as it enables an understanding of mathematical knowledge rather than students who lack discernment. Additionally, we combined programming languages with LLMs, using the example of geometric models, to integrate mathematics and visual representation in a new way. Through a comparison of problem-solving between ChatGPT and MathGPT and an analysis of their logical reasoning, teachers can exercise with large models as auxiliary tools to enhance the quality of mathematics teaching.
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Sun et al. (2025) studied this question.
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