Exploring the Challenges and Applications of Generative AI on Engineering Education in Mexico

Author:

Orduño-Osuna Jesús Heriberto1ORCID,Cota-Rivera Elia Ivette1,Raygoza-L. María E.2,Jimenez-Sanchez Roxana1ORCID,Limón-Molina Guillermo M.1ORCID,Bravo-Zanoguera Miguel E.1,Mercado-Herrera Abelardo1,Rico Fabian N. Murrieta1ORCID

Affiliation:

1. Universidad Politécnica de Baja California, Mexico

2. Universidad Autonoma de Baja California, Mexico

Abstract

This chapter explores the potential and challenges of implementing generative artificial intelligence (AI) in engineering education in Mexico. It highlights the relevance of developing broader competences like critical thinking, collaboration, and cognitive processing to prepare students for the Fourth Industrial Revolution. Integrating generative AI and STEM education can foster collaboration, communication, critical thinking, and creativity. Challenges include the gap between demand and supply of skilled engineers and the need to enhance education quality. The chapter proposes personalized learning experiences, enhanced student engagement, workload reduction for teachers, and the use of large language models and simulated environments as key applications of generative AI. Leveraging learning analytics and generative AI can tailor content to students' needs. Ethical considerations and human oversight are crucial for successful integration.

Publisher

IGI Global

Reference27 articles.

1. Enhancing Student Engagement: Harnessing “AIED”’s Power in Hybrid Education—A Review Analysis

2. Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P.S., & Sun, L. (2023). A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. ArXiv, abs/2303.04226.

3. Chan, C. K. Y., & Tsi, L. H. (2023). The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education? arXiv preprint arXiv:2305.01185.

4. Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021

5. Denny, P., Prather, J., Becker, B. A., Finnie-Ansley, J., Hellas, A., Leinonen, J., & Sarsa, S. (2023). Computing Education in the Era of Generative AI. arXiv preprint arXiv:2306.02608.

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