Enhancing Management Information Systems with Large Language Models: A Case Study on Tackling Vietnamese High School Mathematical Problems

Thao Vi Nguyen (), Doan Dong Nguyen () and Cong Doan Truong ()
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Thao Vi Nguyen: Vietnam National University
Doan Dong Nguyen: Vietnam National University
Cong Doan Truong: Vietnam National University

A chapter in Management Information Systems in a Digitalized AI World, 2025, pp 99-111 from Springer

Abstract: Abstract This research focuses on the challenges of using large language models (LLMs) to solve high school math problems in Vietnam. Although LLMs have advanced natural language processing, they struggle with math problem-solving. The proposed approach involves using topic classification to identify the relevant math topic, searching for similar problems in a dataset, extracting answers, and using in-context learning for further improvement. Code generation is also used to help with computational problem-solving and provide detailed explanations. By addressing the limitations of LLMs in understanding numbers, computations, and reasoning, this research aims to enhance the accuracy and effectiveness of LLM-based approaches in supporting students in their studies. These findings have the potential to advance educational technology and assist students in confidently navigating high school math.

Keywords: Large language models; Natural language processing; Mathematical problem-solving; Educational Information System (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-981-96-6526-6_7

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DOI: 10.1007/978-981-96-6526-6_7

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