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Munier, Valérie; Merle, Hélène; Brehelin, Danie – International Journal of Science Education, 2013
The concept of measurement is fundamental in science. In order to be meaningful, the value of a measurement must be given with a certain level of uncertainty. In this paper we try to identify and develop the reasoning of young French pupils about measurement variability. In France, official instructions for elementary school thus argue for having…
Descriptors: Elementary School Science, Science Instruction, Scientific Concepts, Foreign Countries
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Frede, Valerie; Nobes, Gavin; Frappart, Soren; Panagiotaki, Georgia; Troadec, Bertrand; Martin, Alan – Infant and Child Development, 2011
Studies of children's knowledge of the Earth have led to very different conclusions: some appear to show that children construct their own, non-scientific "theories" (mental models) of the flat, hollow or dual Earth. Others indicate that many young children have some understanding of the spherical (scientific) Earth, and that their…
Descriptors: Interviews, Cognitive Processes, Concept Formation, Models
Dumas-Carre, Andree; Caillot, Michel – 1989
Most physics problem-solving studies provide data that indicate problem representation is different between experts and novices. This paper presents "cognitive aids" guiding the process of elaboration of a problem representation through intermediate representations. Intermediate means that the representation is situated somewhere between…
Descriptors: Cognitive Processes, Foreign Countries, Mechanics (Physics), Physics
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection