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Bazhydai, Marina; Silverstein, Priya; Parise, Eugenio; Westermann, Gert – Developmental Science, 2020
Children are sensitive to both social and non-social aspects of the learning environment. Among social cues, pedagogical communication has been shown to not only play a role in children's learning, but also in their own active transmission of knowledge. Vredenburgh, Kushnir and Casasola, "Developmental Science," 2015, 18, 645 showed that…
Descriptors: Toddlers, Learning Processes, Social Environment, Cues
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de Resende, Briseida Dogo; Ottoni, Eduardo B.; Fragaszy, Dorothy M. – Developmental Science, 2008
How do capuchin monkeys learn to use stones to crack open nuts? Perception-action theory posits that individuals explore producing varying spatial and force relations among objects and surfaces, thereby learning about affordances of such relations and how to produce them. Such learning supports the discovery of tool use. We present longitudinal…
Descriptors: Spatial Ability, Prediction, Social Influences, Infants
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Schoner, Gregor; Dineva, Evelina – Developmental Science, 2007
That competences may emerge given appropriate environmental and behavioral context is a long-standing theme in developmental research. Work in the motor domain, but also in cognitive development, has made it possible to transform this idea into a mechanistic account closely linked to empirical evidence. In dynamic systems thinking, such capacities…
Descriptors: Cognitive Development, Learning Processes, Physical Activity Level, Motor Development
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Livingston, Kenneth R.; Andrews, Janet K. – Developmental Science, 2005
After learning to categorize a set of alien-like stimuli in the context of a story, a group of 5-year-old children and adults judged pairs of stimuli from different categories to be less similar than did groups not learning the category distinction. In a same-different task, the learning group made more errors on pairs of non-identical stimuli…
Descriptors: Stimuli, Young Children, Adults, Concept Formation
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Sirois, Sylvain – Developmental Science, 2004
This paper presents autoassociator neural networks. A first section reviews the architecture of these models, common learning rules, and presents sample simulations to illustrate their abilities. In a second section, the ability of these models to account for learning phenomena such as habituation is reviewed. The contribution of these networks to…
Descriptors: Simulation, Infants, Cognitive Processes, Cognitive Development