Ai and Computing in Industrial Education Handbook: A Multidisciplinary Analysis from Early to Higher Education and Specialized Sectors

This book bridges Industry 4.0 principles with educational innovation, offering groundbreaking approaches that transform learning environments across diverse contexts. Readers discover practical applications ranging from AI-powered diagnostics to gamification strategies, all designed to make education more accessible, engaging, and effective.
The unique collaboration between Hispanic American and European researchers brings fresh perspectives to educational technology, organizing cutting-edge research into six comprehensive sections. What distinguishes this work is its human-centered approach—each technological advancement connects directly to pedagogical improvement.
Educators, researchers, and technology specialists find value in the book’s exploration of solutions like holographic displays, 3D-printed prosthetics for STEM education, and psychological self-assessment platforms. Beyond serving as a reference, this book establishes a foundation for continued cross-cultural dialogue and future innovation, helping institutions integrate emerging technologies while keeping human development at the core of educational transformation.

Marcelo V. Garcia, PhD. (Scopus ID: 56597269000, Web of Science ResearcherID: J 3195-2019) is a researcher from INTELIA research group. He studied electronics and instrumentation engineering at the University of the Armed Forces-ESPE. In 2013 he obtained his Master's Degree in Control, Automation, and Robotics Engineering and in 2018 he obtained his doctorate at the University of the Basque Country (UPV / EHU). His studies were carried out thanks to a grant from the Ecuadorian government. From 2008 to 2013 he worked as an engineer in different companies in the area of oil and gas in Ecuador such as Schlumberger, Petrobras and Petroamazonas EP. His research interest is focused on the design of next-generation architectures based on Industry 4.0 in various domains such as automation and smart manufacturing.

Rommel Santiago Velastegui Hernández, Mg. (Scopus ID: 57212198255) He obtained the degree of Industrial Engineer in Automation Processes and the Master in Operations Management at the Technical University of Ambato (UTA) Ecuador in 2013 and 2017, respectively. He is currently studying the PhD Programme in Industrial Engineering and Production at the Polytechnic University of Valencia, Spain since 2021, under the supervision of Prof. Raúl Poler Escoto and Prof. Francisco Manuel Diaz-Madroñero Boluda. He has written more than thirteen SCOPUS scientific articles. His current research interests include industrial production, multi-agent robotic systems, lean management, supply chain management (SCM), machine learning (ML) and quality management systems (QMS) for production and industrial process control, education and social sciences.