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Meltzoff Andrew N., Kuhl Patricia K., Movellan Javier & Sejnowski Terrence J. (2009). « Foundations for a new science of learning ». Science, vol. 325, n° 5938, juillet, p. 284–288. 
Added by: Catherine Reverdy (05 Sep 2013 09:30:13 Europe/Paris)
Resource type: Journal Article
DOI: doi: 10.1126/science.1175626
BibTeX citation key: Meltzoff2009
Categories: Apprentissages et psychologie
Subcategories: Neurosciences et Ă©ducation
Keywords: neurosciences
Creators: Kuhl, Meltzoff, Movellan, Sejnowski
Collection: Science
Views: 513/667
Views index: 12%
Popularity index: 3%
Abstract     
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 with those of other species. Homo sapiens is 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.
  
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