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001			21383688
003			OSt
005			20251202142819.0
006			m |o d |
007			cr |||||||||||
008			191229s2020 nyu ob 001 0 eng
010			_a 2019036725
020			_a9780141989303 _q(epub)
020			_q(hardcover)
035			_a21383688
040			_aDLC _beng _cDLC _erda
041	1		_aeng _hfre
042			_apcc
050	0	0	_aBF318
082	0	0	_a153.15 DEH _223
092			_20
100	1		_aDehaene, Stanislas, _eauthor.
240	1	0	_aApprendre! _lEnglish
245	1	0	_aHow we learn : _bThe Science of Education and the Brain _cStanislas Dehaene.
263			_a2001
264		1	_a[New York, New York] : _bPenguin Books _c2021
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTranslation of: Apprendre! : les talents du cerveau, le défi des machines.
504			_aIncludes bibliographical references and index.
505	0		_aSeven 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.
520			_a"In today's technological society, with an unprecedented amount of information at our fingertips, learning plays a more central role than ever. In How We Learn, Stanislas Dehaene decodes its biological mechanisms, delving into the neuronal, synaptic, and molecular processes taking place in the brain. 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, and that we can enhance our learning and memory at any age. We can all "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. The exciting advancements in A.I. of the last twenty years reveal just as much about our remarkable abilities as they do about the potential of machines. How We Learn finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain's learning algorithms, in our schools and universities as well as in everyday life"-- _cProvided by publisher.
588			_aDescription based on print version record and CIP data provided by publisher; resource not viewed.
650		0	_aLearning, Psychology of.
650		0	_aCognitive psychology.
650		0	_aNeuroplasticity.
650		0	_aCognitive science.
776	0	8	_iPrint version: _aDehaene, Stanislas. _tHow we learn _d[New York, New York] : Viking, [2020] _z9780525559887 _w(DLC) 2019036724
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c2463 _d2463