The Role of AI in Supporting Mathematical Reasoning for Electronics Problems

This paper explores the role of LLMs in supporting undergraduate students' mathematical reasoning when solving electronics problems. We analyzed the model’s responsiveness, problem-solving strategies, and limitations using Brousseau’s Theory of Didactical Situations. Although LLMs proveded helpful suggestions, significant inconsistencies in its outputs undermined students' trust. The findings highlight LLMs’ dual potential as both a facilitator and a challenge in educational contexts, suggesting that its integration into learning activities must be carefully designed to enhance critical thinking and validation processes.

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Publication Details

Published
2025-06-24
DOI
https://doi.org/10.1109/iwssip66997.2025.11151899
Citations
1
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
2.48
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The Role of AI in Supporting Mathematical Reasoning for Electronics Problems

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article en
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Abstract

This paper explores the role of LLMs in supporting undergraduate students' mathematical reasoning when solving electronics problems. We analyzed the model’s responsiveness, problem-solving strategies, and limitations using Brousseau’s Theory of Didactical Situations. Although LLMs proveded helpful suggestions, significant inconsistencies in its outputs undermined students' trust. The findings highlight LLMs’ dual potential as both a facilitator and a challenge in educational contexts, suggesting that its integration into learning activities must be carefully designed to enhance critical thinking and validation processes.

University of Cagliari (IT), University of Macerata (IT), Ss. Cyril and Methodius University in Skopje (MK)
Openalex Percentile: Top 9%
Intelligent Tutoring Systems and Adaptive Learning
2.48
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