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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: Caine, Renate Nummela.
Contributor(s): Caine, Geoffrey.
Publisher: New York : Teachers College, c2011Description: xiv, 240 p. : ill. ; 26 cm.ISBN: 9780807751893 (pbk.) :; 0807751898 (pbk.) :.Subject(s): Learning, Psychology of | Cognition in children | Educational technology -- Psychological aspects | Education -- Effect of technological innovations on | Education -- Aims and objectives
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.

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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