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What is Simulated Environments

Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI
Simulated environments are virtual or digital settings created to simulate real-world scenarios or circumstances. They provide a secure and controlled environment for users to gain experience without experiencing negative effects in real life, and are frequently utilized for training, experimentation, or research reasons.
Published in Chapter:
Exploring the Challenges and Applications of Generative AI on Engineering Education in Mexico
Jesús Heriberto Orduño-Osuna (Universidad Politécnica de Baja California, Mexico), Elia Ivette Cota-Rivera (Universidad Politécnica de Baja California, Mexico), María E. Raygoza-L. (Universidad Autonoma de Baja California, Mexico), Roxana Jimenez-Sanchez (Universidad Politécnica de Baja California, Mexico), Guillermo M. Limón-Molina (Universidad Politécnica de Baja California, Mexico), Miguel E. Bravo-Zanoguera (Universidad Politécnica de Baja California, Mexico), Abelardo Mercado-Herrera (Universidad Politécnica de Baja California, Mexico), and Fabian N. Murrieta Rico (Universidad Politécnica de Baja California, Mexico)
DOI: 10.4018/979-8-3693-0487-7.ch011
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.
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