How we learn: the new science of education and the brain
Humanity's greatest feat is our incredible ability to learn. Even in their first year, infants acquire language, visual and social knowledge at a rate that surpasses the best supercomputers. But how, exactly, do our brains learn? In How We Learn, leading neuroscientist Stanislas Dehaene delves...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
Allen Lane
[2020]
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Zusammenfassung: | Humanity's greatest feat is our incredible ability to learn. Even in their first year, infants acquire language, visual and social knowledge at a rate that surpasses the best supercomputers. But how, exactly, do our brains learn? In How We Learn, leading neuroscientist Stanislas Dehaene delves into the psychological, neuronal, synaptic and molecular mechanisms of learning. Drawing on case studies of children who learned despite huge difficulty and trauma, he explains why youth is such a sensitive period, during which brain plasticity is maximal, but also assures us that our abilities continue into adulthood. We can all enhance our learning and memory at any age and 'learn to learn' by taking maximal advantage of the four pillars of the brain's learning algorithm: attention, active engagement, error feedback and consolidation. The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. How We Learn finds the boundary of computer science, neurobiology, cognitive psychology and education to explain how learning really works and how to make the best use of the brain's learning algorithms and even improve them in our schools and universities as well as in everyday life |
| Beschreibung: | xxviii, 319 Seiten, 16 ungezählte Seiten Illustrationen 24 cm |
| ISBN: | 9780241366462 |
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| 520 | 3 | |a Humanity's greatest feat is our incredible ability to learn. Even in their first year, infants acquire language, visual and social knowledge at a rate that surpasses the best supercomputers. But how, exactly, do our brains learn? In How We Learn, leading neuroscientist Stanislas Dehaene delves into the psychological, neuronal, synaptic and molecular mechanisms of learning. Drawing on case studies of children who learned despite huge difficulty and trauma, he explains why youth is such a sensitive period, during which brain plasticity is maximal, but also assures us that our abilities continue into adulthood. We can all enhance our learning and memory at any age and 'learn to learn' by taking maximal advantage of the four pillars of the brain's learning algorithm: attention, active engagement, error feedback and consolidation. The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. How We Learn finds the boundary of computer science, neurobiology, cognitive psychology and education to explain how learning really works and how to make the best use of the brain's learning algorithms and even improve them in our schools and universities as well as in everyday life | |
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| adam_text | CONTENTS INTRODUCTION xiii Part One What is teaming? „ CHAPTER 1 Seven Definitions of Learning i J CHAPTER 2 Why Our Brain Learns Better Than Current Machines 5 27 Part Two How Our Brain Learns m CHAPTER 3 Babies invisible Knowledge S3 CHAPTER 4 Tite Birth of a Brain 69 CHAPTER 5 Nurture s Share ‘83 CHAPTER 6 Recycle Your Brain 119
Part Three The Four Pillars of Learning из CHAPTER 7 Attention 147 CHAPTER 8 Active Engagement 177 CHAPTER 9 Error Feedback 199 Consolidation 221 CHAPTER 10 CONCLUSION Reconciling Education with Neuroscience 237 ACKNOWLEDGMENTS 247 NOTES 251 BİBLIOGRAPHY 269 ÍNDEX 307 CREDITS 321
Humanity’s greatest feat is our incredible ability to learn. Even in their first year, infants acquire language and visual and social knowledge at a rate that surpasses the best supercomputers. But how, exactly, do our brains learn? In this new book, leading neuroscientist Stanislas Dehaene delves into the psychological, neuronal, synaptic and molecular mechanisms of learning. Drawing on case studies of children who learned despite huge difficulty and trauma, he explains why youth is such a sensitive period, during which brain plasticity is maximal, but also assures us that our abilities continue into adulthood. We can all enhance our memory at any age, and ‘learn to learn’ by taking full advantage of the four pillars of the brain’s learning algorithm: attention, active engagement, error feedback and consolidation. The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. How We Learn finds the boundary of computer science, peurobiology, cognitive psychology and education to explain how learning really - works and how to make the best use of the brain’s algorithms in our schools and universities as well as in everyday life.
|
| adam_txt |
CONTENTS INTRODUCTION xiii Part One What is teaming? „ CHAPTER 1 Seven Definitions of Learning i J CHAPTER 2 Why Our Brain Learns Better Than Current Machines 5 27 Part Two How Our Brain Learns m CHAPTER 3 Babies' invisible Knowledge S3 CHAPTER 4 Tite Birth of a Brain 69 CHAPTER 5 Nurture's Share ‘83 CHAPTER 6 Recycle Your Brain 119
Part Three The Four Pillars of Learning из CHAPTER 7 Attention 147 CHAPTER 8 Active Engagement 177 CHAPTER 9 Error Feedback 199 Consolidation 221 CHAPTER 10 CONCLUSION Reconciling Education with Neuroscience 237 ACKNOWLEDGMENTS 247 NOTES 251 BİBLIOGRAPHY 269 ÍNDEX 307 CREDITS 321
Humanity’s greatest feat is our incredible ability to learn. Even in their first year, infants acquire language and visual and social knowledge at a rate that surpasses the best supercomputers. But how, exactly, do our brains learn? In this new book, leading neuroscientist Stanislas Dehaene delves into the psychological, neuronal, synaptic and molecular mechanisms of learning. Drawing on case studies of children who learned despite huge difficulty and trauma, he explains why youth is such a sensitive period, during which brain plasticity is maximal, but also assures us that our abilities continue into adulthood. We can all enhance our memory at any age, and ‘learn to learn’ by taking full advantage of the four pillars of the brain’s learning algorithm: attention, active engagement, error feedback and consolidation. The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. How We Learn finds the boundary of computer science, peurobiology, cognitive psychology and education to explain how learning really - works and how to make the best use of the brain’s algorithms in our schools and universities as well as in everyday life. |
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| contents | Seven definitions of learning -- Why our brain learns better than current machines -- Babies' invisible knowledge -- The birth of a brain -- Nurture's share -- Recycle your brain -- Attention -- Active engagement -- Error feedback -- Consolidation -- Conclusion. Reconciling education with neuroscience |
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| spelling | Dehaene, Stanislas 1965- Verfasser (DE-588)130199133 aut How we learn the new science of education and the brain Stanislas Dehaene London Allen Lane [2020] xxviii, 319 Seiten, 16 ungezählte Seiten Illustrationen 24 cm txt rdacontent sti rdacontent n rdamedia nc rdacarrier Seven definitions of learning -- Why our brain learns better than current machines -- Babies' invisible knowledge -- The birth of a brain -- Nurture's share -- Recycle your brain -- Attention -- Active engagement -- Error feedback -- Consolidation -- Conclusion. Reconciling education with neuroscience Humanity's greatest feat is our incredible ability to learn. Even in their first year, infants acquire language, visual and social knowledge at a rate that surpasses the best supercomputers. But how, exactly, do our brains learn? In How We Learn, leading neuroscientist Stanislas Dehaene delves into the psychological, neuronal, synaptic and molecular mechanisms of learning. Drawing on case studies of children who learned despite huge difficulty and trauma, he explains why youth is such a sensitive period, during which brain plasticity is maximal, but also assures us that our abilities continue into adulthood. We can all enhance our learning and memory at any age and 'learn to learn' by taking maximal advantage of the four pillars of the brain's learning algorithm: attention, active engagement, error feedback and consolidation. The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. How We Learn finds the boundary of computer science, neurobiology, cognitive psychology and education to explain how learning really works and how to make the best use of the brain's learning algorithms and even improve them in our schools and universities as well as in everyday life Kognitive Psychologie (DE-588)4073586-2 gnd rswk-swf Lernpsychologie (DE-588)4074166-7 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd rswk-swf Cognitive science Human-computer interaction Technology / Social aspects Lernpsychologie (DE-588)4074166-7 s Mensch-Maschine-Kommunikation (DE-588)4125909-9 s Kognitive Psychologie (DE-588)4073586-2 s DE-604 ebook version 9780241366479 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032158027&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032158027&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Dehaene, Stanislas 1965- How we learn the new science of education and the brain Seven definitions of learning -- Why our brain learns better than current machines -- Babies' invisible knowledge -- The birth of a brain -- Nurture's share -- Recycle your brain -- Attention -- Active engagement -- Error feedback -- Consolidation -- Conclusion. Reconciling education with neuroscience Kognitive Psychologie (DE-588)4073586-2 gnd Lernpsychologie (DE-588)4074166-7 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
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| title | How we learn the new science of education and the brain |
| title_auth | How we learn the new science of education and the brain |
| title_exact_search | How we learn the new science of education and the brain |
| title_exact_search_txtP | How we learn the new science of education and the brain |
| title_full | How we learn the new science of education and the brain Stanislas Dehaene |
| title_fullStr | How we learn the new science of education and the brain Stanislas Dehaene |
| title_full_unstemmed | How we learn the new science of education and the brain Stanislas Dehaene |
| title_short | How we learn |
| title_sort | how we learn the new science of education and the brain |
| title_sub | the new science of education and the brain |
| topic | Kognitive Psychologie (DE-588)4073586-2 gnd Lernpsychologie (DE-588)4074166-7 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| topic_facet | Kognitive Psychologie Lernpsychologie Mensch-Maschine-Kommunikation |
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