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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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Frankenhuis, Willem E.; Panchanathan, Karthik; Belsky, Jay – Developmental Science, 2016
Children vary in the extent to which their development is shaped by particular experiences (e.g. maltreatment, social support). This variation raises a question: Is there no single level of plasticity that maximizes biological fitness? One influential hypothesis states that when different levels of plasticity are optimal in different environmental…
Descriptors: Mathematical Models, Child Development, Hypothesis Testing, Parents
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Cohen Kadosh, Kathrin; Linden, David E. J.; Lau, Jennifer Y. F. – Developmental Science, 2013
Adolescence is a period of profound change, which holds substantial developmental milestones, but also unique challenges to the individual. In this opinion paper, we highlight the potential of combining two recently developed behavioural and neural training techniques (cognitive bias modification and functional magnetic neuroimaging-based…
Descriptors: Adolescent Development, Adolescents, Brain, Behavior
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Frankenhuis, Willem E.; Panchanathan, Karthik; Clark Barrett, H. – Developmental Science, 2013
Interactions between evolutionary psychologists and developmental systems theorists have been largely antagonistic. This is unfortunate because potential synergies between the two approaches remain unexplored. This article presents a method that may help to bridge the divide, and that has proven fruitful in biology: dynamic optimization. Dynamic…
Descriptors: Evolution, Psychology, Systems Approach, Developmental Psychology
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Opfer, John E.; Siegler, Robert S.; Young, Christopher J. – Developmental Science, 2011
Barth and Paladino (2011) argue that changes in numerical representations are better modeled by a power function whose exponent gradually rises to 1 than as a shift from a logarithmic to a linear representation of numerical magnitude. However, the fit of the power function to number line estimation data may simply stem from fitting noise generated…
Descriptors: Numbers, Computation, Models, Prediction
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Syal, Supriya; Finlay, Barbara L. – Developmental Science, 2011
Alteration of the organization of social and motivational neuroanatomical circuitry must have been an essential step in the evolution of human language. Development of vocal communication across species, particularly birdsong, and new research on the neural organization and evolution of social and motivational circuitry, together suggest that…
Descriptors: Neurology, Language Acquisition, Neurological Organization, Evolution
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Crone, Eveline A. – Developmental Science, 2009
Despite the advances in understanding cognitive improvements in executive function in adolescence, much less is known about the influence of affective and social modulators on executive function and the biological underpinnings of these functions and sensitivities. Here, recent behavioral and neuroscientific studies are summarized that have used…
Descriptors: Inferences, Cognitive Development, Autism, Brain Hemisphere Functions
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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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Haddad, Jeffrey M.; Kloos, Heidi; Keen, Rachel – Developmental Science, 2008
Three-year-olds were given a search task with conflicting cues about the target's location. A ball rolled behind a transparent screen and stopped behind one of four opaque doors mounted into the screen. A wall that protruded above one door provided a visible cue of blockage in the ball's path, while the transparent screen allowed visual tracking…
Descriptors: Cues, Eye Movements, Conflict, Error Patterns
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Killing, Sarah E. A.; Bishop, Dorothy V. M. – Developmental Science, 2008
Forty toddlers aged 20 to 24 months were presented with 32 pairs of images with the auditory stimulus Look followed by the name of the target image (e.g. "Look...tree") in an intermodal preferential looking (IPL) paradigm. The same series of 16 items was presented first with one image as target and then with the other member of the pair as target.…
Descriptors: Feedback (Response), Toddlers, Visual Stimuli, Individual Differences
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Richardson, Fiona M.; Thomas, Michael S. C. – Developmental Science, 2008
The use of self-organizing feature maps (SOFM) in models of cognitive development has frequently been associated with explanations of "critical" or "sensitive periods". By contrast, error-driven connectionist models of development have been linked with "catastrophic interference" between new knowledge and old knowledge. We introduce a set of…
Descriptors: Maps, Cognitive Processes, Cognitive Development, Concept Mapping
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Booth, Amy E.; Waxman, Sandra R. – Developmental Science, 2008
In this paper we consider the perceptual and conceptual contributions that shape early word learning, using research on the "shape bias" as a case in point. In our view, conceptual, linguistic, social-pragmatic, and perceptual sources of information influence one another powerfully and continuously in the service of word learning throughout…
Descriptors: Language Acquisition, Concept Formation, Learning Theories, Bias
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Colunga, Eliana; Smith, Linda B. – Developmental Science, 2008
Young children's skilled generalization of newly learned nouns to new instances has become the battleground for two very different approaches to cognition. This debate is a proxy for a larger dispute in cognitive science and cognitive development: cognition as rule-like amodal propositions, on the one hand, or as embodied, modal, and dynamic…
Descriptors: Nouns, Cognitive Psychology, Cognitive Development, Knowledge Level
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Markson, Lori; Diesendruck, Gil; Bloom, Paul – Developmental Science, 2008
When children learn the name of a novel object, they tend to extend that name to other objects similar in shape--a phenomenon referred to as the shape bias. Does the shape bias stem from learned associations between names and categories of objects, or does it derive from more general properties of children's understanding of language and the…
Descriptors: Toddlers, Novelty (Stimulus Dimension), Bias, Geometric Concepts
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Samuelson, Larissa K.; Horst, Jessica S. – Developmental Science, 2008
Young children tend to generalize novel names for novel solid objects by similarity in shape, a phenomenon dubbed "the shape bias". We believe that the critical insights needed to explain the shape bias in particular, and cognitive development more generally, come from Dynamic Systems Theory. We present two examples of recent work focusing on the…
Descriptors: Neurological Organization, Novelty (Stimulus Dimension), Cognitive Development, Cognitive Processes
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