Deep Learning (häftad)
Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
208
Utgivningsdatum
2018-02-15
Upplaga
1
Förlag
Corwin
Medarbetare
Quinn, Joanne / McEachen, Joanne J.
Dimensioner
254 x 177 x 12 mm
Vikt
430 g
Antal komponenter
1
ISBN
9781506368580
Deep Learning (häftad)

Deep Learning

Engage the World Change the World

Häftad Engelska, 2018-02-15
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This book not only defines what deep learning is, but takes up the question of how to mobilize complex, whole-system change and transform learning for all students. New Pedagogies for Deep Learning is a global partnership that works to transform the role of teachers to that of activators who design experiences that build global competencies using real-life problem solving. It also supports schools, districts, and systems to shift practice and measure learning in authentic ways. This comprehensive strategy incorporates practical tools and processes to engage students, educators, and families in new partnerships to drive deep learning. 
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This book elevates deep learning from an instructional tool to a systemic approach designed to create powerful synergies to enhance professional, social, and cultural capital. It is built on the deep belief that all students can learn if school systems shift from sorting talent, where only a minority of winners cross the finishing line, to developing the talent of diverse learners. Deep Learning’s power lies in providing practical advice to help school systems evolve, for rules to become guidelines, and ultimately, for good practice to become culture.



We live in a world where creativity is our new capital. Michael Fullan, Joanne Quinn, and Joanne McEachen’s book takes us deeply into this world. Read, launch, and learn!



Drawing upon decades of hard-fought education experience and with an eye toward our precarious future, Michael Fullan, one of the world’s most respected education experts, along with co-authors Joanne Quinn and Joanne McEachen, has written a comprehensive and practical guide on school transformation. Intended for both policy makers and practitioners, the book toggles between theory and practice to deconstruct the “how” of education system change. It is a must read for anyone who is serious about preparing our children for the complex, interdependent world they will inherit.



Michael Fullan, Joanne Quinn, and Joanne McEachen offer a powerful set of ideas to enable deeper learning on a large scale. Deep learning develops examples at every level of the system—from the individual student and teacher, to the classroom, school, and state—suggesting how learning may be radically redesigned in ways that could change schooling as we know it.



There are many “deeper teachers,” some “deeper schools,” but very few “deeper systems.” For that reason, we are very lucky that Michael Fullan, Joanne Quinn, and Joanne McEachen have channeled their prodigious talents for identifying the right levers for systems change to deeper learning. Drawing on their work with 1,200 schools in seven countries, they describe concretely what powerful learning looks like for both students and adults, and how system leaders can support the creation of challenging, engaging, and empowering learning for all students. Every system leader who wants to transform their system from an industrial era bureaucracy to a modern learning organization should read this book!



This book takes us on an exciting journey exploring why and...

Bloggat om Deep Learning

Övrig information

Michael Fullan, OC, is the former Dean of the Ontario Institute for Studies in Education and Professor Emeritus of the University of Toronto. He is co-leader of the New Pedagogies for Deep Learning global initiative. Recognized as a worldwide authority on educational reform, he advises policymakers and local leaders in helping to achieve the moral purpose of all children learning. Michael Fullan received the Order of Canada in December 2012. He holds honorary doctorates from several universities around the world.

Fullan is a prolific, award-winning author whose books have been published in many languages. His book Leading in a Culture of Change received the 2002 Book of the Year Award by Learning Forward. Breakthrough (with Peter Hill and Carmel Crvola) won the 2006 Book of the Year Award from the American Association of Colleges for Teacher Education (AACTE), and Turnaround Leadership in Higher Education (with Geoff Scott) won the Bellwether Book Award in 2009. Change Wars (with Andy Hargreaves) was named the 2009 Book of the Year by Learning Forward, and Professional Capital (with Andy Hargreaves) won the AACTE 2013 Book of the Year and the Grawemeyer Award in Education in 2015.

Michael Fullans latest books are The Principal: Three Keys for Maximizing Impact ; Coherence: The Right Drivers in Action for Schools, Districts, and Systems (with Joanne Quinn); Deep Learning: Engage the Change the World (with Joanne Quinn and Joanne McEachen); Surreal Change: The Real Life of Transforming Public Education (autobiography); and Nuance: Why Some Leaders Succeed and Others Fail.

For more information on books, articles, and videos, please go to www.michaelfullan.ca.



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

Innehållsförteckning

1. The Need For and Attraction of Deep Learning2. What's Deep About Deep Learning?3. Leading Transformation4. Deep Learning in Action5. Designing Deep Learning6. Collaboration Counts: Inquiry That Shifts Practice7. Conditions That Mobilize Whole System Change8. New Measures for Deep Learning9. Sirens or Salvation: Deep Learning Hell or Heaven