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