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Natural learning for a connected world : education, technology, and the human brain / Renate N. Caine, Geoffrey Caine ; foreword by Joseph Chilton Pearce.

By: Contributor(s): Publication details: New York : Teachers College, c2011.Description: xiv, 240 p. : ill. ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780807751893 (pbk.) :
  • 0807751898 (pbk.) :
Subject(s): LOC classification:
  • LB1060 .C334 2011
Contents:
Who and what are educating our children? -- How is technology impacting the world of traditional education? -- What are the powerful beliefs about learning and teaching that keep education frozen in place? -- What do students need in order to successfully prepare for the future? -- The perception/action dynamic: the foundation for learning from life -- The science behind the perception/action cycle -- Perception/action learning -- Goals and outcomes: building rich neural networks requires real world knowledge -- Side by side: traditional and perception/action learning, a model -- Motivation, the engine that drives perception/action learning -- The optimal state of mind for learning -- How the "system" engages the low road -- Working with biological predispositions -- How a village, school, and society teach -- Implementing the guided experience approach: the three critical elements -- Relaxed alertness -- Orchestrated immersion -- Active processing -- Window into tomorrow.
Holdings
Item type Current library Home library Shelving location Call number Status Barcode
Books Books American University in Dubai American University in Dubai Main Collection LB 1060 .C334 2011 (Browse shelf(Opens below)) Available 5011809

Includes bibliographical references and index.

Who and what are educating our children? -- How is technology impacting the world of traditional education? -- What are the powerful beliefs about learning and teaching that keep education frozen in place? -- What do students need in order to successfully prepare for the future? -- The perception/action dynamic: the foundation for learning from life -- The science behind the perception/action cycle -- Perception/action learning -- Goals and outcomes: building rich neural networks requires real world knowledge -- Side by side: traditional and perception/action learning, a model -- Motivation, the engine that drives perception/action learning -- The optimal state of mind for learning -- How the "system" engages the low road -- Working with biological predispositions -- How a village, school, and society teach -- Implementing the guided experience approach: the three critical elements -- Relaxed alertness -- Orchestrated immersion -- Active processing -- Window into tomorrow.

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