How We Learn
The New Science of Education and the Brain
Seiten
2021
Penguin Books Ltd (Verlag)
978-0-14-198930-3 (ISBN)
Penguin Books Ltd (Verlag)
978-0-14-198930-3 (ISBN)
'Absorbing, mind-enlarging, studded with insights ... This could have significant real-world results' Sunday Times
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.
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.
Stanislas Dehaene is one of Europe's leading neuroscientists, and has been studying how education changes our brains for over thirty years. He is professor of Experimental Cognitive Psychology at the Collège de France, and director of the NeuroSpin brain imaging in Saclay. He is a member of seven academies and has received several international prizes, including the highest award in neuroscience, the Brain Prize. Dehaene's previous books, which have been translated into fifteen languages, include Consciousness and the Brain, Reading in the Brain and The Number Sense.
| Erscheinungsdatum | 28.01.2021 |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 129 x 198 mm |
| Gewicht | 285 g |
| Themenwelt | Sachbuch/Ratgeber ► Natur / Technik |
| Geisteswissenschaften ► Psychologie ► Allgemeine Psychologie | |
| Geisteswissenschaften ► Psychologie ► Pädagogische Psychologie | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 0-14-198930-0 / 0141989300 |
| ISBN-13 | 978-0-14-198930-3 / 9780141989303 |
| Zustand | Neuware |
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