EMNLP 2023short findings0 citations

Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning

An-Zi Yen, Wei-Ling Hsu

Abstract

Due to the remarkable language understanding and generation abilities of large language models (LLMs), their use in educational applications has been explored. However, little work has been done on investigating the pedagogical ability of LLMs in helping students to learn mathematics. In this position paper, we discuss the challenges associated with employing LLMs to enhance students' mathematical problem-solving skills by providing adaptive feedback. Apart from generating the wrong reasoning processes, LLMs can misinterpret the meaning of the question, and also exhibit difficulty in understanding the given questions' rationales when attempting to correct students' answers. Three research questions are formulated.

Mathematics LearningAdaptive FeedbackLarge Language Models
BibTeX
@inproceedings{
yen2023three,
title={Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning},
author={An-Zi Yen and Wei-Ling Hsu},
booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
year={2023},
url={https://openreview.net/forum?id=qDspFDJEHP}
}
Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning · EMNLP 2023