Challenges and Solutions in Smart Learning: Proceeding of 2018 International Conference on Smart Learning Environments, Beijing, China (Lecture Notes in Educational Technology)

Chang, Maiga (Editor) / Popescu, Elvira (Editor) / Kinshuk (Editor) / Chen, Nian-Shing (Editor) / Jemni, Mohamed (Editor) / Huang, Ronghuai (Editor) / Spector, J. Michael (Editor)

ISBN 10: 9811087423 / ISBN 13: 9789811087424

Edité par Springer, 2018

A propos de cet article

146 pages. 9.50x6.25x0.50 inches. In Stock.

N° de réf. du vendeur x-9811087423

Détails bibliographiques

• Titre: Challenges and Solutions in Smart Learning: Proceeding of 2018 International Conference on Smart Learning Environments, Beijing, China (Lecture Notes in Educational Technology)
• Éditeur: Springer
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 9811087423
• ISBN à 13 chiffres: 9789811087424
• Reliure: Hardcover
• État de l'article: Brand New
• Poids: 0,4 kilogramme

A propos de ce titre

Synopsis

This book focuses on the interplay between pedagogy and technology, and their fusion for the advancement of smart learning environments. It discusses various components of this interplay, including learning and assessment paradigms, social factors and policies, emerging technologies, innovative application of mature technologies, transformation of curriculum and teaching behavior, transformation of administration, best infusion practices, and piloting of new ideas.
The book provides an archival forum for researchers, academics, practitioners and industry professionals interested and/or engaged in reforming teaching and learning methods by promoting smart learning environments. It also facilitates discussions and constructive dialogue among various stakeholders on the limitations of existing learning environments, the need for reform, innovative uses of emerging pedagogical approaches and technologies, and sharing and promoting best practices, leading to the evolution, design and implementation of smart learning environments.

À propos de l?auteur

Dr. Maiga Chang is Associate Professor at the School of Computing Information and Systems at Athabasca University, Canada. His researches mainly focus on mobile learning and ubiquitous learning, museum e-learning, game-based learning, educational robots, learning behaviour analysis, data mining, intelligent agent technology, computational intelligence in e-learning, and mobile healthcare.
Elvira Popescu is Associate Professor at the Computers and Information Technology Department, University of Craiova, Romania. Her research interests include technology enhanced learning, adaptation and personalization in Web-based systems, learner modeling, Web 2.0 and social learning environments, learning analytics, intelligent and distributed computing.
Prof. Huang is now the Dean of Smart Learning Institute in Beijing Normal University, which aims to promote the education technology discipline and its related subjects. Prof. Huang has been engaged in the research on educational technology as well as knowledge engineering since 1997, and has published more than 160 academic papers and over 20 books in the domestic and overseas.
Dr. Kinshuk is the Dean of the College of Information at the University of North Texas. His work has been dedicated to advancing research on the innovative paradigms, architectures and implementations of online and distance learning systems for individualized and adaptive learning in increasingly global environments.
Nian-Shing Chen is the Chair Professor at the Department of Information Management at the National Sun Yat-sen University in Taiwan and chair of IEEE Technical Committee on Learning Technology. Prof Chen has published over 350 papers in the international referred journals, conferences and book chapters.
Mohamed Jemni is a Professor at the University of Tunis. He is the Head and the founder of the Research Laboratory of Technologies of Information and Communication & Electrical Engineering of the University of Tunis. His research projects during the last 24 years include Enhanced Learning Technologies, High Performance & Grid computing and Accessibility of ICT to People with Disabilities.
J. Michael Spector is a Professor of Learning Technologies at the University of North Texas. His research focuses on intelligent support for instructional design, assessing learning in complex domains, and technology integration in education. He is editor of Educational Technology Research & Development and serves on numerous other editorial boards.