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Developing Teaching Expertise

A Guide to Adaptive Professional Learning Design

Ryan Dunn (The University of Melbourne, Australia) John Hattie (The University of Melbourne, Australia)

$80.99

Paperback

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English
Corwin Press Inc
26 August 2021
Dive into this deep exploration to cultivate a proactive culture of leading learning and equip teachers to make 'what works best' work in every context.
By:   , ,
Imprint:   Corwin Press Inc
Country of Publication:   United States
Dimensions:   Height: 228mm,  Width: 152mm, 
Weight:   270g
ISBN:   9781544368153
ISBN 10:   1544368151
Pages:   160
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Ryan Dunn, PhD, has twenty years’ experience as an educational leader, teacher, and researcher. Ryan has advised schools and systems in the United States, Canada, Singapore and Australia to develop innovative educational solutions. He has worked extensively in the United States, where he led large-scale research and professional learning initiatives in New York City and California. Ryan is a senior lecturer at the University of Melbourne, where he focuses on teacher professional learning, educational leadership, middle leadership, and implementation science. John Hattie, PhD, is an award-winning education researcher and best-selling author with nearly thirty years of experience examining what works best in student learning and achievement. His research, better known as Visible Learning, is a culmination of nearly thirty years synthesizing more than 2,100 meta-analyses comprising more than one hundred thousand studies involving over 300 million students around the world. He has presented and keynoted in over three hundred international conferences and has received numerous recognitions for his contributions to education. His notable publications include Visible Learning, Visible Learning for Teachers, Visible Learning and the Science of How We Learn; Visible Learning for Mathematics, Grades K-12; and 10 Mindframes for Visible Learning.

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