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Strategies for Deep Learning with Digital Technology: Theories and Practices in Education
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Editors: Robert Zheng (Department of Educational Psychology, University of Utah, Salt Lake City, Utah, USA)
Book Description:
How to utilize digital technology to engage learners in deep learning is an issue that warrants significant attention in 21st century education. Deep learning refers to learners’ engagement in critical and creative thinking, making inferences and transferring knowledge. Modern technologies like virtual reality, artificial intelligence, and 3D visualization provide the platform for deep learning in an educational setting more effectively. This book presents a collection of essays on the relationship between digital technologies and deep learning. The edited volume focuses on cognitive, metacognitive and affective processes in digital technology-based deep learning. A unique feature of the book is its emphasis on bridging the theories with practice where the practice of deep learning with digital technology is well-grounded in relevant theories and theoretical frameworks. Moreover, the book includes case studies to effectively promote the application of digital technology in deep learning. As such, the book is rightly poised to address current issues facing deep learning and digital technology in education. The audience will find this book a useful companion as they will soon discover that this book provides helpful information on both theoretical and practical aspects in deep learning with digital technology. It also serves as an excellent resource for researchers and individual professionals who seek to understand the relationship between deep learning and digital technology in education. (Nova)


Book Reviews

"This book covers a cutting edge topic in education with strong theoretical ties to work in cognition, metacognition, and emotion, with chapters written by leading researchers in the field. Researchers and practitioners interested in the impact of digital technologies in learning will find this volume to be informative, comprehensive, and thought-provoking." - Anne E. Cook, Professor and Chair, Educational Psychology Department, Director for Student and Faculty Affairs, College of Education, University of Utah, USA

“This edited book provides excellent resources for researchers and academic professionals about the connections between deep learning (involving critical and creative thinking, reasoning performance, making inferences and knowledge transfer) and the use of digital technologies (such as virtual reality, artificial intelligence, 3D visualization, e-portfolios, and a network-based approach). Authors examine theories relevant to deep learning and provide research results regarding the cognitive and metacognitive learning strategies, self-regulated learning, reasoning performance, along with many other themes. This book offers the valuable support to graduate students and teachers aiming at their professional development, and a must for a library.” - Anna Ursyn, Professor of Digital Media Digital Media Area Head, School of Art and Design, College of Performing and Visual Arts, University of Northern Colorado, USA



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Table of Contents:
Foreword

Preface

Acknowledgments

Section I. Digital Technology and Deep Learning: Multiple Theoretical Perspectives (pp. 1-2)

Chapter 1. The Psychology of Deep Learning (pp. 3-36)
(Michael K. Gardner)

Chapter 2. Promoting and Assessing Deep Learning Using Technology (pp. 37-50)
(J. Michael Spector and Kaushal K. Bhagat)

Chapter 3. Fostering Self-Regulated Learning with Digital Technologies (pp. 51-70)
(Nada Dabbagh and Anastasia Kitsantas)

Chapter 4. Online Discussion Structure and Instructor Roles for the Promotion of Deep Learning (pp. 71-90)
(Byron Havard)

Section II. Strategies for Promoting Deep Learning with Digital Technology (pp. 91-92)

Chapter 5. Multimedia Simulations That Foster Transfer: Findings from a Review of the Literature (pp. 93-110)
(Jennifer G. Cromley and LuEttaMae Lawrence)

Chapter 6. Visualizations for Deep Learning: Using 3D Models to Promote Scientific Observation and Reasoning during Collaborative Stem Inquiry (pp. 111-136)
(Kirsten R. Butcher, Michelle Hudson and Madlyn Runburg)

Chapter 7. Strategies for Designing Advanced Learning Technologies to Foster Self-Regulated Learning (pp. 137-170)
(Michelle Taub, Nicholas V. Mudrick and Roger Azevedo)

Chapter 8. nBrowser: An Intelligent Web Browser for Studying Self-Regulated Learning in Teachers’ Use of Technology (pp. 171-196)
(Eric G. Poitras, Tenzin Doleck, Lingyun Huang, Shan Li and Susanne Lajoie)

Chapter 9. An Empirical Examination of Goals, Student Approaches to Learning, and Adaptive Outcomes (pp. 197-224)
(Huy P. Phan, Ph.D and Bing H. Ngu, Ph.D, School of Education, University of New England, Armidale, Australia)

Section III. Case Studies in Digital Technology and Deep Learning (pp. 225-226)

Chapter 10. Supporting Students’ Reflective Practice Using the OneNote Class Notebook and Scaffolding (pp. 227-248)
(Silvia Hartung, Alexander Florian and Bernhard Ertl)

Chapter 11. Exploiting Innovative Technology-Enhanced Learning Environments for Teacher Professional Development (pp. 249-268)
(Fotini Paraskeva)

Chapter 12. Innovative Technologies-Embedded Scientific Inquiry Practices: A Socially Situated Cognition Theory (pp. 269-304)
(Muammer Çalýk and Jazlin Ebenezer)

Chapter 13. Fostering Deep Learning in an Online Learning Environment (pp. 305-330)
(Chih-hsuan Wang, Brian W. Lebeck and David M. Shannon)

Chapter 14. A Study on Deep Learning and Mental Reasoning in Digital Technology in Relation to Cognitive Load (pp. 331-354)
(Kevin Greenberg and Robert Zheng)

Concluding Remarks (pp. 355-358)

About The Editor (pp. 359-360)

List of Contributors (pp. 361-368)

Index (pp. 369)

Total Pages: 376

   Series:
      Education in a Competitive and Globalizing World
   Binding: Hardcover
   Pub. Date: January 29, 2018
   ISBN: 978-1-53613-182-6
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Strategies for Deep Learning with Digital Technology: Theories and Practices in Education