How we learn: (Record no. 5284)

MARC details
000 -LEADER
fixed length control field 01977nam a22002057a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230620122312.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780141989303
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 153.15
Item number DEH
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Dehaene, Stanislas
245 ## - TITLE STATEMENT
Title How we learn:
Remainder of title the new science of education and the brain
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Penguin Random House UK
Place of publication, distribution, etc. UK
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xxvi, 319 p.
365 ## - TRADE PRICE
Price type code INR
Price amount 599.00
520 ## - SUMMARY, ETC.
Summary, etc. 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?<br/><br/>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.<br/><br/>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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Technology--Social aspects
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Human-computer interaction
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neuroplasticity
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction TB380 13-05-2023 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 06/20/2023 Technical Bureau India Pvt. Ltd. 411.21   153.15 DEH 004989 06/20/2023 1 599.00 06/20/2023 Book

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