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Jung, Yaelan; Walther, Dirk B.; Finn, Amy S. – Developmental Science, 2021
Statistical learning allows us to discover myriad structures in our environment, which is saturated with information at many different levels--from items to categories. How do children learn different levels of information--about regularities that pertain to items and the categories they come from--and how does this differ from adults? Studies on…
Descriptors: Children, Incidental Learning, Classification, Adults
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Simmering, Vanessa R.; Spencer, John P. – Developmental Science, 2008
A central goal in cognitive and developmental science is to develop models of behavior that can generalize across both tasks and development while maintaining a commitment to detailed behavioral prediction. This paper presents tests of one such model, the Dynamic Field Theory (DFT). The DFT was originally proposed to capture delay-dependent biases…
Descriptors: Recall (Psychology), Theories, Generalization, Young Children
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Samuelson, Larissa K.; Smith, Linda B. – Developmental Science, 2005
Two experiments explore children's spontaneous labeling of novel objects as a method to study early lexical access. The experiments also provide new evidence on children's attention to object shape when labeling objects. In Experiment 1, the spontaneous productions of 21 23- to 28-month-olds (mean 26;28) shown a set of novel, unnamed objects were…
Descriptors: Form Classes (Languages), Novelty (Stimulus Dimension), Vocabulary Development, Language Acquisition