AI and Computing in Industrial Education Handbook: A Multidisciplinary Analysis from Early to Higher Education and Specialized Sectors
暫譯: 工業教育中的人工智慧與計算手冊：從早期教育到高等教育及專業領域的多學科分析
Garcia, Marcelo V., Velastegui Hernández, Rommel Santiago
商品描述
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.
商品描述(中文翻譯)
這本書將工業4.0的原則與教育創新相結合，提供了突破性的方式，轉變各種環境中的學習場域。讀者將發現從人工智慧驅動的診斷到遊戲化策略等實用應用，這些應用旨在使教育變得更具可及性、吸引力和有效性。
來自西班牙裔美國人和歐洲研究者的獨特合作為教育科技帶來了新視角，將前沿研究組織成六個全面的部分。這項工作的特點在於其以人為本的方法——每一項技術進步都直接與教學改進相連結。
教育工作者、研究者和技術專家在書中探索的解決方案中找到價值，例如全息顯示器、用於STEM教育的3D列印義肢以及心理自我評估平台。這本書不僅作為參考資料，還為持續的跨文化對話和未來創新奠定了基礎，幫助機構整合新興技術，同時將人類發展置於教育轉型的核心。
作者簡介
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.
作者簡介(中文翻譯)
Marcelo V. Garcia, PhD. (Scopus ID: 56597269000, Web of Science ResearcherID: J 3195-2019) 是來自 INTELIA 研究小組的研究員。他在武裝部隊大學-ESPE 學習電子與儀器工程。2013 年，他獲得控制、自動化與機器人工程碩士學位，並於 2018 年在巴斯克國立大學 (UPV / EHU) 獲得博士學位。他的研究得以進行，得益於厄瓜多政府的獎學金。從 2008 年到 2013 年，他在厄瓜多的石油和天然氣領域的不同公司擔任工程師，如施耐德電氣 (Schlumberger)、巴西石油公司 (Petrobras) 和 Petroamazonas EP。他的研究興趣集中在基於工業 4.0 的下一代架構設計，涵蓋自動化和智慧製造等多個領域。
Rommel Santiago Velastegui Hernández, Mg. (Scopus ID: 57212198255) 於 2013 年和 2017 年分別在厄瓜多的安巴托技術大學 (UTA) 獲得自動化過程工業工程學位和運營管理碩士學位。目前，他自 2021 年起在西班牙瓦倫西亞理工大學攻讀工業工程與生產博士課程，並在 Raúl Poler Escoto 教授和 Francisco Manuel Diaz-Madroñero Boluda 教授的指導下進行研究。他已撰寫超過十三篇 SCOPUS 科學文章。他目前的研究興趣包括工業生產、多代理機器人系統、精益管理、供應鏈管理 (SCM)、機器學習 (ML) 以及生產和工業過程控制的質量管理系統 (QMS)、教育和社會科學。
