Learning to Improve

This book PDF is perfect for those who love Education genre, written by Anthony S. Bryk and published by Harvard Education Press which was released on 01 March 2015 with total hardcover pages 280. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Learning to Improve books below.

Learning to Improve
Author : Anthony S. Bryk
File Size : 46,7 Mb
Publisher : Harvard Education Press
Language : English
Release Date : 01 March 2015
ISBN : 9781612507934
Pages : 280 pages
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Learning to Improve by Anthony S. Bryk Book PDF Summary

As a field, education has largely failed to learn from experience. Time after time, promising education reforms fall short of their goals and are abandoned as other promising ideas take their place. In Learning to Improve, the authors argue for a new approach. Rather than “implementing fast and learning slow,” they believe educators should adopt a more rigorous approach to improvement that allows the field to “learn fast to implement well.” Using ideas borrowed from improvement science, the authors show how a process of disciplined inquiry can be combined with the use of networks to identify, adapt, and successfully scale up promising interventions in education. Organized around six core principles, the book shows how “networked improvement communities” can bring together researchers and practitioners to accelerate learning in key areas of education. Examples include efforts to address the high rates of failure among students in community college remedial math courses and strategies for improving feedback to novice teachers. Learning to Improve offers a new paradigm for research and development in education that promises to be a powerful driver of improvement for the nation’s schools and colleges.

Learning to Improve

As a field, education has largely failed to learn from experience. Time after time, promising education reforms fall short of their goals and are abandoned as other promising ideas take their place. In Learning to Improve, the authors argue for a new approach. Rather than “implementing fast and learning slow,”

DOWNLOAD
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