Deep Learning in a Disorienting World
eBook - PDF

Deep Learning in a Disorienting World

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Deep Learning in a Disorienting World

About this book

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.

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Yes, you can access Deep Learning in a Disorienting World by Jon F. Wergin in PDF and/or ePUB format, as well as other popular books in Psychology & Cognitive Psychology & Cognition. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Table of Contents
  6. List of Figures
  7. Preface
  8. Acknowledgments
  9. Chapter 1 Why Deep Learning Is So Important … and So Hard
  10. Chapter 2 How We Learn: A Short Primer
  11. Chapter 3 Mindful Learning
  12. Chapter 4 Constructive Disorientation
  13. Chapter 5 Critical Reflection
  14. Chapter 6 The Importance of Others
  15. Chapter 7 The Influence of Politics on Deep Learning
  16. Chapter 8 Constructive Disorientation Through the Arts
  17. Chapter 9 The Art of Maintaining Essential Tensions
  18. Chapter 10 Cultivating a Deep Learning Mindset
  19. References
  20. Index