Integration of Artificial Intelligence in Mathematics Teaching: Assessing the Impact of MATLAB in Engineering Education (#1992)

Authors

Cordero Portilla, Sandra Victoria

Alvarez Alvarez, Illych Ramses

Caballero Barros, Enrique Javier

Campuzano Acosta, Luisa Judith

Ayala Chiles, Maite Lizbeth

Ordoñez España, Nicole Melisa

Abstract

The present study examines the impact of integrating Artificial Intelligence (AI) into mathematics teaching at an engineering school, using MATLAB as a pedagogical tool in the Linear Algebra course. The methodology, based on Theoretical Dynamic Learning (TDL), combines practical applications, theory, and collaborative tools supported by AI. In the analysis of results, a significant increase in the course pass rate was observed, reaching 88% in the experimental group compared to 64% in the control group that used traditional methods. Practical activities, such as MATLAB-based workshops, fostered meaningful learning by connecting mathematical concepts with real-world problems. The findings suggest that implementing AI not only enhances the understanding of abstract concepts but also promotes collaborative work and prepares students for advanced professional challenges. This innovative approach presents opportunities to replicate and expand the methodology in other disciplines and educational levels.