Foundations for a new science of learning.

Foundations for a new science of learning.
复制标题

DOI:
10.1126/science.1175626
复制
发表时间:
2009-07-17
期刊:
Science (New York, N.Y.)
影响因子:
--
通讯作者:
Sejnowski TJ
Sejnowski TJ
中科院分区:
其他
文献类型:
--
作者:
Meltzoff AN;Kuhl PK;Movellan J;Sejnowski TJ

文献摘要

参考文献

被引文献

相似文献

与其他物种相比,人类学习的特点是可以学习的技能的范围和复杂性以及可以实现的抽象程度。人类也是唯一一个已经发展出正式的方式来促进学习的物种:教师,学校和课程。人类婴儿对人和他们的行为有着强烈的兴趣,并拥有强大的内隐学习机制,这些机制受到社会互动的影响。神经科学家开始了解学习背后的大脑机制,以及感知和行动的共享大脑系统如何支持社会学习。正在开发的机器学习算法允许机器人和计算机自主学习。来自许多不同领域的新见解正在融合,创造一种新的学习科学,可能会改变教育实践。
Human learning is distinguished by the range and complexity of skills that can be learned and the degree of abstraction that can be achieved compared to other species. Humans are also the only species that has developed formal ways to enhance learning: teachers, schools, and curricula. Human infants have an intense interest in people and their behavior, and possess powerful implicit learning mechanisms that are affected by social interaction. Neuroscientists are beginning to understand the brain mechanisms underlying learning and how shared brain systems for perception and action support social learning. Machine learning algorithms are being developed that allow robots and computers to learn autonomously. New insights from many different fields are converging to create a new science of learning that may transform educational practices.
DOI: 10.1073/pnas.0606302103
发表时间: 2006-09-19
影响因子: 11.1
作者:
Dehaene-Lambertz, Ghislaine;Hertz-Pannier, Lucie;Dehaene, Stanislas
通讯作者: Dehaene, Stanislas
DOI: 10.1016/s0003-3472(86)80207-x
发表时间: 1986-10-01
期刊: ANIMAL BEHAVIOUR
影响因子: 2.5
作者:
BAPTISTA, LF;PETRINOVICH, L
通讯作者: PETRINOVICH, L
DOI: 10.1162/08997660360581895
发表时间: 2003-04-01
期刊: NEURAL COMPUTATION
影响因子: 2.9
作者:
Jacobs, RA;Dominguez, M
通讯作者: Dominguez, M
DOI: 10.1007/s10648-007-9049-0
发表时间: 2007-09-01
影响因子: 10.1
作者:
Koedinger, Kenneth R.;Aleven, Vincent
通讯作者: Aleven, Vincent
DOI: 10.1016/0010-0285(89)90003-0
发表时间: 1989-01-01
影响因子: 2.6
作者:
JOHNSON, JS;NEWPORT, EL
通讯作者: NEWPORT, EL