From the best-selling authors of Deep Learning: Engage the World Change the World, this book is a must-have practical guide to help you implement your ideas. Packed with tools, tips, and protocols, this resource shows you how to design deep learning, measure progress, and assess the conditions needed to mobilize and sustain innovation and deep learning. Dive Into Deep Learning: Tools for Engagement builds on the call to action in Deep Learning: Engage the World Change the World by providing a comprehensive approach for mobilizing deep learning in classrooms, schools, districts, and systems.
From the best-selling authors of Deep Learning: Engage the World Change the World, this book is a must-have practical guide to help you implement your ideas. Packed with tools, tips, and protocols, this resource shows you how to design deep learning, measure progress, and assess the conditions needed to mobilize and sustain innovation and deep learning. Dive Into Deep Learning: Tools for Engagement builds on the call to action in Deep Learning: Engage the World Change the World by providing a comprehensive approach for mobilizing deep learning in classrooms, schools, districts, and systems.
Joanne Quinn is an international consultant and author on system change, leadership, and learning. As co-founder and global director of New Pedagogies for Deep Learning, she leads the capacity building of a global innovation partnership across eight countries focused on transforming learning. Joanne has provided leadership at all levels of education as a superintendent of education, implementation advisor to the Ontario Ministry of Education, and Director of Continuing Education at the University of Toronto. Recent books include Coherence: The Right Drivers in Action for Schools, Districts, and Systems; The Taking Action Guide for Building Coherence in Schools, Districts, and Systems; and Deep Learning: Engage the World, Change the World. Joanne¿s diverse leadership roles and her passion to open windows of opportunity for all give her a unique perspective on influencing positive change.
Inhaltsangabe
Section One. Diving Into Deep Learning Chapter 01. GOOD AT LEARNING AND GOOD AT LIFE The Urgency What Is Deep Learning? Why Deep Learning Works Systems Change and the Way Forward Getting Started Chapter 02. HOW TO USE THIS GUIDE Getting Started Organization of the Guide Building Capacity for Deep Learning Section Two. A Framework for Deep Learning Chapter 03. THE DEEP LEARNING FRAMEWORK The Deep Learning Framework Final Thoughts Chapter 04. THE GLOBAL COMPETENCIES FOR DEEP LEARNING Defining the Competencies Unique Characteristics of the Global Competencies (6Cs) Global Competencies in Action Emerging Insights Getting Started Final Thoughts Chapter 05. THE FOUR ELEMENTS OF LEARNING DESIGN Learning Partnerships Learning Environments Leveraging Digital Pedagogical Practices Final Thoughts Chapter 06. THE COLLABORATIVE INQUIRY PROCESS What Is Collaborative Inquiry? Collaborative Inquiry in Learning Design Collaborative Assessment Collaborative Assessment of School and District Conditions Final Thoughts Section Three. Learning Progressions Chapter 07. USING LEARNING PROGRESSIONS Organization Designing Learning Assessing Learning Feedback Final Thoughts Section Four. Designing Deep Learning Chapter 08. DEEP LEARNING DESIGN Learning Design: The Key Components Backward Design The Learning Design Rubric Final Thoughts Section Five. Assessment Practices Chapter 09. COLLABORATIVE ASSESSMENT The Collaborative Assessment Process Establishing Norms Managing the Process Final Thoughts Section Six. Building Capacity for Deep Learning Chapter 10. TEACHER CAPACITY FOR DEEP LEARNING Reflective Practice Coaching for Success Final Thoughts Chapter 11. SCHOOL CAPACITY FOR DEEP LEARNING The School Conditions Rubric Getting Started With Deep Learning Planning for Deep Learning Final Thoughts Chapter 12. DISTRICT CAPACITY FOR DEEP LEARNING The District Conditions Rubric Developing a District Deep Learning Plan Leveraging the Power of School Visits Final Thoughts Epilogue: Act Now References Acknowledgments About the Authors
Section One. Diving Into Deep Learning Chapter 01. GOOD AT LEARNING AND GOOD AT LIFE The Urgency What Is Deep Learning? Why Deep Learning Works Systems Change and the Way Forward Getting Started Chapter 02. HOW TO USE THIS GUIDE Getting Started Organization of the Guide Building Capacity for Deep Learning Section Two. A Framework for Deep Learning Chapter 03. THE DEEP LEARNING FRAMEWORK The Deep Learning Framework Final Thoughts Chapter 04. THE GLOBAL COMPETENCIES FOR DEEP LEARNING Defining the Competencies Unique Characteristics of the Global Competencies (6Cs) Global Competencies in Action Emerging Insights Getting Started Final Thoughts Chapter 05. THE FOUR ELEMENTS OF LEARNING DESIGN Learning Partnerships Learning Environments Leveraging Digital Pedagogical Practices Final Thoughts Chapter 06. THE COLLABORATIVE INQUIRY PROCESS What Is Collaborative Inquiry? Collaborative Inquiry in Learning Design Collaborative Assessment Collaborative Assessment of School and District Conditions Final Thoughts Section Three. Learning Progressions Chapter 07. USING LEARNING PROGRESSIONS Organization Designing Learning Assessing Learning Feedback Final Thoughts Section Four. Designing Deep Learning Chapter 08. DEEP LEARNING DESIGN Learning Design: The Key Components Backward Design The Learning Design Rubric Final Thoughts Section Five. Assessment Practices Chapter 09. COLLABORATIVE ASSESSMENT The Collaborative Assessment Process Establishing Norms Managing the Process Final Thoughts Section Six. Building Capacity for Deep Learning Chapter 10. TEACHER CAPACITY FOR DEEP LEARNING Reflective Practice Coaching for Success Final Thoughts Chapter 11. SCHOOL CAPACITY FOR DEEP LEARNING The School Conditions Rubric Getting Started With Deep Learning Planning for Deep Learning Final Thoughts Chapter 12. DISTRICT CAPACITY FOR DEEP LEARNING The District Conditions Rubric Developing a District Deep Learning Plan Leveraging the Power of School Visits Final Thoughts Epilogue: Act Now References Acknowledgments About the Authors
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