Integration of Artificial Intelligence in Mathematical Modeling: A Qualitative Approach for Engineering Students in a Multivariable Calculus Course (#2502)
Read ArticleDate of Conference
July 15-17, 2026
Published In
"Engineering without Borders: Artificial Intelligence, Knowledge, Innovation, and Alliances for a Future from the Americas"
Location of Conference
Santiago (Chile)
Authors
Rodriguez Gallegos, Ruth
Abstract
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.