Integration of Artificial Intelligence in Mathematical Modeling: A Qualitative Approach for Engineering Students in a Multivariable Calculus Course
DOI:
https://doi.org/10.18687/LACCEI2026.1.1.2502Palabras clave:
Mathematical Modelling, Artificial Intelligence, Innovational Education, Authenticity, Higher Education, Task Design.Resumen
This qualitative study examines how engineering students in a Multivariable Calculus course engage with mathematical modeling tasks supported by Artificial Intelligence (AI). When used as a cognitive scaffold rather than a solver, AI enhanced authenticity, creativity, and conceptual understanding. Students who critically validated AI outputs demonstrated deeper mathematical reasoning and ethical awareness. However, challenges emerged in creativity, visualization, and meaningful AI integration. The study recommends embedding reflective AI use, improving task design, and reinforcing ethical training to foster responsible technology use and genuine learning in higher education mathematics.Descargas
Publicado
2026-07-27
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Articles
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Derechos de autor 2026 LACCEI
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Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.
LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).
Cómo citar
Rodriguez Gallegos, R. (2026). Integration of Artificial Intelligence in Mathematical Modeling: A Qualitative Approach for Engineering Students in a Multivariable Calculus Course. LACCEI, 1(14). https://doi.org/10.18687/LACCEI2026.1.1.2502