Strategies for Deep Learning With Digital Technology

Strategies for Deep Learning With Digital Technology

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.


Section I - Digital Technology and Deep Learning: Multiple Theoretical Perspectives
Chapter 1. The Psychology of Deep Learning
Chapter 2. Promoting and Assessing Deep Learning Using Technology
Chapter 3. Fostering Self-Regulated Learning with Digital Technologies
Chapter 4. Online Discussion Structure and Instructor Roles for the Promotion of Deep Learning

Section II - Strategies for Promoting Deep Learning with Digital Technology
Chapter 5. Multimedia Simulations That Foster Transfer: Findings from a Review of the Literature
Chapter 6. Visualizations for Deep Learning: Using 3D Models to Promote Scientific Observation and Reasoning during Collaborative STEM Inquiry
Chapter 7. Strategies for Designing Advanced Learning Technologies to Foster Self-Regulated Learning
Chapter 8. nBrowser: An Intelligent Web Browser for Studying Self-Regulated Learning in Teachers’ Use of Technology
Chapter 9. An Empirical Examination of Goals, Student Approaches to Learning, and Adaptive Outcomes

Section III - Case Studies in Digital Technology and Deep Learning
Chapter 10. Supporting Students’ Reflective Practice Using the OneNote Class Notebook and Scaffolding
Chapter 11. Exploiting Innovative Technology-Enhanced Learning Environments for Teacher Professional Development
Chapter 12. Innovative Technologies-Embedded Scientific Inquiry Practices: A Socially Situated Cognition Theory
Chapter 13. Fostering Deep Learning in an Online Learning Environment
Chapter 14. A Study on Deep Learning and Mental Reasoning in Digital Technology in Relation to Cognitive Load

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