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Deep Learning in a Disorienting World by Jon F. Wergin 9781108727150

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Description

Much has been written about the escalating intolerance of worldviews other than one's own. Reasoned arguments based on facts and data seem to have little impact in our increasingly post-truth culture dominated by social media, fake news, tribalism, and identity politics. Recent advances in the study of human cognition, however, offer insights on how to counter these troubling social trends. In this book, psychologist Jon F. Wergin calls upon recent research in learning theory, social psychology, politics, and the arts to show how a deep learning mindset can be developed in both oneself and others. Deep learning is an acceptance that our understanding of the world around us is only temporary and is subject to constant scrutiny. Someone who is committed to learning deeply does not simply react to experiences, but engages fully with that experience, knowing that the inevitable disquietude is what leads to efficacy in the world.

Shows how deep learning is a way to address the toxicity of social polarization.

About the Author
Jon F. Wergin is Professor of Education Studies at the Graduate School of Leadership and Change, Antioch University, Ohio . He is also an educational psychologist with a professional background spanning nearly fifty years.

Reviews
'In a provocative and imaginative review of multiple traditions and paradigms, Jon F. Wergin builds a convincing case that deep learning - constantly challenging our existing ways of thinking and being - is a survival necessity of adult life. Through a skillful weaving of personal examples with theoretical analysis, he shows how this mindset can be practiced in a way that inspires others.' Stephen Brookfield, John Ireland Endowed Chair, University of St. Thomas, Minnesota



Book Information
ISBN 9781108727150
Author Jon F. Wergin
Format Paperback
Page Count 210
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 320g
Dimensions(mm) 228mm * 153mm * 11mm

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