AI and Metaverse for Education

1. Auflage 2027
ISBN: 978-1-041-13843-3
Verlag: Taylor & Francis Ltd

Buch, Englisch, 322 Seiten, Format (B × H): 156 mm x 234 mm

Artificial intelligence and the metaverse are revolutionizing education, promising richer learning and greener teaching. This book delves into their power to forge immersive, personalized, and sustainable educational settings. It explores AI's role in tailoring learning, the creation of virtual classrooms, and digital strategies that champion environmental responsibility. Ultimately, the reader is offered a blueprint of future educational ecosystems that are equitable, resource-smart, and ready for what's next.

This book analyses AI and Metaverse applications in education, across disciplines from technology to education and sustainability. Readers gain insights into how AI personalizes learning, how eco-friendly virtual environments function, and best practices for integrating immersive technologies. This is practice-oriented text, providing AI and Metaverse implementation guides, unlike purely theoretical texts. The authors take a global perspective, including diverse case studies, with real-world implementations across Europe, Asia, and North America. The objective is to showcase innovative teaching models and their measurable sustainability impact. The study of sustainability impact is further enhanced through sustainability assessment frameworks to empower professionals to evaluate digital education's environmental footprint. By actively fostering engagement, inclusivity, and sustainability, this work advances the development of next generation learning ecosystems.

The goal of this book is to offer additional research and practical insights to address the intersection of Metaverse, AI, and sustainable education comprehensively. This book is written for advanced students and professionals in EdTech, to leverage the insights and learn practical tools shared in this book to discover and implement AI-driven and Metaverse-based learning solutions aligned with sustainability goals.

Zielgruppe

Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Abed, Mourad

Sakly, Houneida

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein E-Learning
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Methoden des Lehrens und Lernens

Inhaltsverzeichnis

1: AI-Enhanced Metaverse Training for Sustainable Stadium Safety: Learning Design, Digital Twins, and Crowd-Simulation Pedagogy for Professional Education, Issam Laamri, Najemeddin Soughati, Makram Mestiri and Adil Elmadhi 2: From BPMN to JAAMSIM: An Approach for Business Process Simulation in an Educational Context, Antoine Bakhos, Jalal Possik, Abir Karami and Charles Yaacoub 3: Digital Twin for Controlling Variables in Classrooms: A Simulation-Based Approach Using Discrete Event and Agent Based Simulation, Atheer Al Shaggah, Jalal Possik, Allal Chafi, Michel El Haddad and Laurent Peyrodie 4: Embodied Learning in the Metaverse: An A/r/tographic and Co-Creative Approach to Virtual Art Education, Catarina Carneiro de Sousa 5: Interoperable Interactive 3D Scenes for Educational Metaverse, Clément Dluzniewski, Joseph Jabbour, Mourad Ellouze, Danny Kieken, Charles Yaacoub and Jalal Possik 6: Identifying At-Risk Students in Educational Metaverse Using TAM and Data Analysis, Eyaa Naimi and Mourad Abed 7: AI+AR Serious Games for Autism Intervention: A Design-Centric Approach, Jingwen Su, Jing Chen, Zefeng Wang, Jean-Marie Nianga and Laurent Peyrodie 8: Human-in-the-Loop DES–XR Integration for the Educational Metaverse: An AI-Augmentation-Ready Framework for Sustainable Immersive Laboratory Training, Joseph Jabbour, Jalal Possik, Charles Yaacoub, Danny Kieken, Catherine Demarey and Gregory Zacharewicz 9: AI-Assisted Generation of 3D Educational Simulations for Algorithm and Data Structure Concepts in an Immersive Learning Environment, Sirine Alghali, Mabrouka Chouchane, Makram Soui and Mourad Abed 10: Fostering Sustainable Learning Practices with Generative AI, Education 4.0, and the Metaverse: Innovations in STEAM and Medical Training with the GEMSILA Architecture, Houneida Sakly, Mourad Abed, Naoufel Kraiem, Mourad Said and Chawki Lawssif 11: ADDIE-Based Instructional Design for Metaverse-Enabled Immersive Logistics Education: A Kanban Simulation Game Case Study, Thi-Phuong Nguyen, Makram Mestiri and Mourad Abed 12: Towards Sustainable Immersive Education: Evaluation of a Metaverse-Based HCI Learning Experience, Yosra Mourali and Christophe Kolski 13: Designing Sustainable Digital-Twin Training Systems: Integrating IoT, HLA Distributed Simulation, and AI-Driven Learning for Immersive Education, Michel El Haddad, Jalal Possik, Antonio Giovannetti, Emilio Jimenez and Charles Yaacoub 14: Introducing SMALL STEPS: A Virtual Reality Platform for First Aid Training, Michel El Haddad, Jana El Helou, Vanessa Al Najjar, Charles Yaacoub and Sandy Rihana 15: The Use of AI Tools by Persons with Determination in Higher Education: A Case Study of Media Students at the University of Sharjah, Snoussi Thouraya, Mohamed Abdul Zaher, Omer Jawad Al Ali, Nadeen Selim and Dalia Hassan

Über Autor(innen)

Mourad Abed is a Full Professor of Exceptional Class (Rank 2) at INSA Hauts-de-France and the Polytechnic University of Hauts-de-France (UPHF), and a researcher at LAMIH UMR CNRS 8201.He serves as Vice-President for Digital Affairs, Pedagogical Innovation, and Strategic Projects, and leads digital transformation at the National Institute of Applied Sciences. His research explores intelligent interactive systems, artificial intelligence for personalized learning, blockchain, the metaverse, and digital twins. He has authored more than 250 scientific publications and supervised over 22 doctoral and research-supervision theses. He has led major national and European projects, co-coordinated the EUNICE European university alliance, developed innovative degree programs, and co-founded the IEEE ICALT and ICMAIE international conferences.

Houneida Sakly is an Assistant Professor in Computer Science at the Center for Research on Microelectronics and Nanotechnology (CRMN) in the Technopole of Sousse, Tunisia. She earned her doctorate in Computer Science from the National School of Computer Science at the University of Manouba in 2019 through international collaboration with Gustave Eiffel University (ESIEE-Paris) and Polytech Orléans in France. From 2020 to 2022, she completed a postdoctoral fellowship at Stanford University, focusing on deep learning for radiological image analysis. She also holds a Healthcare Innovation certificate awarded by the Massachusetts Institute of Technology and Harvard Medical School. She serves as a trainer in AI and digital health in the Central Training Unit for Senior Officials of the Tunisian Ministry of Health.