Integration of Artificial Intelligence in Mathematical Modeling: A Qualitative Approach for Engineering Students in a Multivariable Calculus Course

Autores/as

  • Ruth Rodriguez Gallegos Instituto Tecnológico y de Estudios Superiores de Monterrey - ITESM - (MX), Mexico

DOI:

https://doi.org/10.18687/LACCEI2026.1.1.2502

Palabras 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.

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Publicado

2026-07-27

Número

Sección

Articles

Licencia

Licencia Creative Commons

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