Reconceptualizing statistical learning in the early years

English, Lyn D. (2013) Reconceptualizing statistical learning in the early years. In English, Lyn D. & Mulligan, Joanne (Eds.) Reconceptualizing Early Mathematics Learning. Springer, pp. 67-82.

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This chapter argues for the need to restructure children’s statistical experiences from the beginning years of formal schooling. The ability to understand and apply statistical reasoning is paramount across all walks of life, as seen in the variety of graphs, tables, diagrams, and other data representations requiring interpretation. Young children are immersed in our data-driven society, with early access to computer technology and daily exposure to the mass media. With the rate of data proliferation have come increased calls for advancing children’s statistical reasoning abilities, commencing with the earliest years of schooling (e.g., Langrall et al. 2008; Lehrer and Schauble 2005; Shaughnessy 2010; Whitin and Whitin 2011).

Several articles (e.g., Franklin and Garfield 2006; Langrall et al. 2008) and policy documents (e.g., National Council of Teachers ofMathematics 2006) have highlighted the need for a renewed focus on this component of early mathematics learning, with children working mathematically and scientifically in dealing with realworld data. One approach to this component in the beginning school years is through data modelling (English 2010; Lehrer and Romberg 1996; Lehrer and Schauble 2000, 2007)...

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ID Code: 64820
Item Type: Book Chapter
Funders: ARC
DOI: 10.1007/978-94-007-6440-8_5
ISBN: 9789400764392
ISSN: 1869-4918
Subjects: Australian and New Zealand Standard Research Classification > EDUCATION (130000)
Divisions: Current > Schools > School of Curriculum
Current > QUT Faculties and Divisions > Faculty of Education
Copyright Owner: Copyright 2013 Springer Science
Deposited On: 27 Nov 2013 00:22
Last Modified: 12 Sep 2016 14:43

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