Digital Transformation and Human-Machine Collaboration in Education : Proceedings of the 8th International Conference on Smart Learning Environments (ICSLE 2024)

Ronghuai Huang

ISBN 10: 9819675863 / ISBN 13: 9789819675869

Edité par Springer Nature Switzerland AG, 2026

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - This book is the proceedings of the 2024 International Conference on Smart Learning Environments (ICSLE 2024). It focuses on the interplay of pedagogy, technology, and the collaborative intelligence (human intelligence and artificial intelligence) towards the development of human-centered learning. This book covers various components of this interplay, including:1) Next generation learning environments, such as AI powered learning environments, personalized learning environments, (multimodal) learning analytics, personalized and interoperable learning environment, and inclusive learning environments;2) Human machine collaboration and synergy in education, namely the policies, applications, case studies and best practices of domain-specific/subject-specific smart learning, such as human-(ro) bot collaboration, human-AI collaboration, Avatars, digital twins and metaverse;3) Pedagogy, learning approaches and instructional design, including collaborative intelligence (human intelligence and artificial intelligence), collaborative and group learning, and game-based learning and gamification;4) Digital transformation for catalyzing online, and immersive and open learning spaces, including e-learning, blended/hybrid learning, and MOOCs;5) Digital, machine and AI ethics in education, including ethical frameworks and policies in education, (Generative) AI ethics, teaching ethics, and responsible and human-centered AI in education.This book serves as a useful reference for stakeholders in the field of education who are interested in the interplay of pedagogy, technology, and the collaborative intelligence towards the development of human-centered learning, such as researchers, postgraduate students, undergraduate students, as well as policymakers.

N° de réf. du vendeur 9789819675869

Détails bibliographiques

• Titre: Digital Transformation and Human-Machine Collaboration in Education : Proceedings of the 8th International Conference on Smart Learning Environments (ICSLE 2024)
• Éditeur: Springer Nature Switzerland AG
• Date de parution: 2026
• Langue: anglais
• ISBN à 10 chiffres: 9819675863
• ISBN à 13 chiffres: 9789819675869
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 241 L x 160 H x 25 P (en millimètres) 241 millimètres de largeur par 160 millimètres de hauteur par 25 millimètres de profondeur
• Poids: 692 grammes

A propos de ce titre

Synopsis

This book is the proceedings of the 2024 International Conference on Smart Learning Environments (ICSLE 2024). It focuses on the interplay of pedagogy, technology, and the collaborative intelligence (human intelligence and artificial intelligence) towards the development of human-centered learning. This book covers various components of this interplay, including:

1) Next generation learning environments, such as AI powered learning environments, personalized learning environments, (multimodal) learning analytics, personalized and interoperable learning environment, and inclusive learning environments;

2) Human machine collaboration and synergy in education, namely the policies, applications, case studies and best practices of domain-specific/subject-specific smart learning, such as human-(ro) bot collaboration, human-AI collaboration, Avatars, digital twins and metaverse;

3) Pedagogy, learning approaches and instructional design, including collaborative intelligence (human intelligence and artificial intelligence), collaborative and group learning, and game-based learning and gamification;

4) Digital transformation for catalyzing online, and immersive and open learning spaces, including e-learning, blended/hybrid learning, and MOOCs;

5) Digital, machine and AI ethics in education, including ethical frameworks and policies in education, (Generative) AI ethics, teaching ethics, and responsible and human-centered AI in education.

This book serves as a useful reference for stakeholders in the field of education who are interested in the interplay of pedagogy, technology, and the collaborative intelligence towards the development of human-centered learning, such as researchers, postgraduate students, undergraduate students, as well as policymakers.

À propos de l?auteur

Professor Mohamed Jemni is a leading expert in educational technology and AI integration in learning. As a Professor and Leader at the Arab League Educational, Cultural and Scientific Organisation (ALECSO), he drives initiatives to advance education across the Arab region through technology. His research on AI-driven tools and policy frameworks has significantly influenced modern educational practices.

Dr. Dejian Liu, Chairman of NetDragon Websoft, holds a Ph.D. from Beijing Normal University (2020). He serves on boards including Baidu and Fujian TQ Digital, and has been recognized with awards such as the Business Venture Hero and Youth Entrepreneurship Achievement.

Professor Ahmed Tlili is an Associate Professor at Beijing Normal University and Co-Director of the Open Educational Resources Lab. He edits the Springer Series 'Future Education and Learning Spaces' and holds editorial roles in journals like Smart Learning Environments. He is also an ALECSO expert.

Dr. Junfeng Yang, Professor at Hangzhou Normal University, is Vice Dean of China's Educational Informatization Strategy Research Base. Specializing in ICT in education, he advises policymakers on smart education and technology integration.

Dr. Maiga Chang, Associate Dean at Athabasca University, focuses on game-based learning, AI, and data analytics. He is also Honorary Chair Professor at Taiwan's National Dong Hwa University.

Dr. Kinshuk, Dean at the University of North Texas's College of Information, previously held a NSERC/CNRL Research Chair in Adaptivity and Personalization. He earned his Ph.D. from De Montfort University (UK) and has held leadership roles at Athabasca University.

Dr. Ronghuai Huang, Co-Dean of Beijing Normal University's Smart Learning Institute, directs China's National Engineering Research Center of Cyberlearning and holds the UNESCO Chair on AI in Education. His expertise spans educational AI, smart learning environments, and teaching innovation.