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Sarama, Julie; Clements, Douglas H. – American Journal of Play, 2009
The authors explore how children's play can support the development of the foundations of mathematics learning and how adults can support children's representation of--and thus the "mathematization" of--their play. The authors review research about the amount and nature of mathematics found in the free play of children. They briefly…
Descriptors: Play, Cognitive Development, Child Development, Mathematics Skills
Spatial Analysis: An Examination of Preschoolers' Perception and Construction of Geometric Patterns.
Peer reviewedFeeney, Suzanne Mendoza; Stiles, Joan – Developmental Psychology, 1996
Children 3.5 to 5 years old were asked to judge which of several possible sets of parts matched a configured target form and to copy the target forms. Found a significant association between age and performance on the perception task and consistency across the two tasks. (MDM)
Descriptors: Age Differences, Classification, Geometry, Perceptual Development
Peer reviewedNamy, Laura L.; Smith, Linda B.; Gershkoff-Stowe, Lisa – Cognitive Development, 1997
Examined whether spatial classification is discovered during play and if external products of play lead children to use space to represent similarity. Found through two experiments--a longitudinal study of four children's classification behaviors, and the examination of play behavior with two types of objects--that comparison of different kinds…
Descriptors: Child Behavior, Classification, Cognitive Development, Longitudinal Studies
Hund, Alycia M.; Plumert, Jodie M. – Cognitive Psychology, 2005
Four experiments examined the flexibility and stability with which children and adults organize locations into categories based on their spatiotemporal experience with locations. Seven-, 9-, 11-year-olds, and adults learned the locations of 20 objects in an open, square box. During learning, participants experienced the locations in four…
Descriptors: Cues, Experiments, Young Children, Adults
Gureckis, Todd M.; Love, Bradley C. – Infancy, 2004
Computational models of infant categorization often fail to elaborate the transitional mechanisms that allow infants to achieve adult performance. In this article, we apply a successful connectionist model of adult category learning to developmental data. The Supervised and Unsupervised Stratified Adaptive Incremental Network (SUSTAIN) model is…
Descriptors: Infants, Classification, Adult Learning, Computation

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