Examining Student Proficiency in Applying Artificial Intelligence to Industrial Engineering Education: Emphasis on Economic and Statistical Methods

Authors

DOI:

https://doi.org/10.29105/revig1.5-48

Keywords:

inteligencia artificial, aprendizaje en ingeniería, ChatGPT, percepción estudiantil.

Abstract

This study examines the ability of industrial engineering students to integrate artificial intelligence (AI) into their learning process, focusing on the units of Engineering Economics and Statistics. A survey was conducted among 100 students of Industrial Engineering Administration at the Universidad Autónoma de Nuevo León to gather data on their perception and use of AI, particularly the ChatGPT tool. The results revealed that, although there is initially a lack of knowledge on how to fully leverage AI tools, students exhibit a positive attitude towards their incorporation into learning. Moreover, they recognize the importance of acquiring skills in handling these tools to enhance their understanding and academic performance. This study underscores the need to continue exploring and developing strategies for the effective integration of AI in engineering education, aiming to prepare students for the challenges of an increasingly technological industry.

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Author Biographies

Leonardo Gabriel Hernández-Landa, Universidad Autónoma de Nuevo León

Full-time professor. UANL. PhD in Engineering with a specialty in Systems Engineering. UANL. Master's degree in Systems Engineering, UANL. Industrial Engineer, ITSPe.

Elva Patricia Puente Aguilar, Universidad Autónoma de Nuevo León

Elva Patricia Puente-Aguilar is a full-time Professor and head of Lean Manufacturing Laboratory at the School of  Chemical Sciences at  Universidad Autónoma de Nuevo León (UANL), teaching courses such as Industrial Engineering, Work Study, Manufacturing Processes, Techonology of Materials and Production Control. She earned a B.Sc. in Industrial Engineering with minor in Management and M.S. degree in Business Administration from Universidad Autónoma de Nuevo León. She holds a Ph.D. degree in Project Engineering from Universidad Internacional Iberoamericana. Head of the Lean Manufacturing Laboratory at the Faculty of Chemical Sciences at the UANL

Argelia Vargas Moreno, Universidad Autónoma de Nuevo León

Full-time professor at UANL. She holds a PhD in Educational Sciences from the Autonomous University of Coahuila. She holds a Master's degree in Industrial Engineering with a specialization in Productivity from the Graduate Studies Division of the Faculty of Chemical Sciences at UANL. She also holds a degree in Industrial Engineering and Administration from the Faculty of Chemical Sciences at UANL. Director of the Faculty of Chemical Sciences at UANL

Daniel Humberto Dávila Rodríguez, Universidad Autónoma de Nuevo León

Full-time professor at UANL. Master's degree in Administration from the Graduate Studies Division of the Faculty of Chemical Sciences at UANL. He holds a Bachelor's degree in Business Administration from UMM.

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Published

2025-12-31

How to Cite

Hernández-Landa, L. G., Puente Aguilar, E. P., Vargas Moreno, A., & Dávila Rodríguez, D. H. (2025). Examining Student Proficiency in Applying Artificial Intelligence to Industrial Engineering Education: Emphasis on Economic and Statistical Methods. Revista Ingeniería Y Gestión Industrial, 1(5). https://doi.org/10.29105/revig1.5-48

Issue

Vol. 1 No. 5 (2025): Vol. 1 Núm. 5 (2025): Enero/Diciembre 2025

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Artículos

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