1985
DOI: 10.1016/0010-0277(85)90025-3
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On differentiation: A case study of the development of the concepts of size, weight, and density

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Cited by 444 publications
(291 citation statements)
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“…Some of them suggest confusion between mass, volume, weight and density (Rowell & Dawson, 1977;Smith, Carey & Wiser, 1985, and others suggest that the depth of liquid or the presence of air within the floating objects plays a role. In his misconception directory, Thouin argues that the statement "light objects float and heavy objects sink" (Thouin, 2001, p. 37) is a "frequent conception".…”
Section: Methodsmentioning
confidence: 99%
“…Some of them suggest confusion between mass, volume, weight and density (Rowell & Dawson, 1977;Smith, Carey & Wiser, 1985, and others suggest that the depth of liquid or the presence of air within the floating objects plays a role. In his misconception directory, Thouin argues that the statement "light objects float and heavy objects sink" (Thouin, 2001, p. 37) is a "frequent conception".…”
Section: Methodsmentioning
confidence: 99%
“…(2) Can children differentiate between theory and evidence? Other cognitive development researchers think of science inquiry as conceptual structures and theories about the natural world (e.g., Carey, 1985;Carey & Smith, 1993;Smith, Carey, & Wiser, 1985). This work highlights how knowledge is restructured in the course of its acquisition and focuses on the role of domain-specific knowledge in scientific thinking and inquiry.…”
Section: Different Views On Children's Abilities To Conduct Science Imentioning
confidence: 95%
“…In every instance, the model tries to learn the most general category that is consistent with the data. This tendency can, for example, lead to the type of overgeneralization that is seen in young children until further learning leads to category re nement (Chapman et al, 1986;Clark, 1973;Smith et al, 1985;Smith and Kemler, 1978;Ward, 1983). Many benchmark studies of how A R T uses vigilance control to classify complex data bases have shown that the number of ART categories that is learned scales well with the complexity of the input data; see Carpenter and Grossberg (1994) for a list of illustrative benchmark studies.…”
Section: How D O E S a R T Stabilize Learning Of A Self-organizing Fementioning
confidence: 99%