Data modelling in the beginning school years


Autoria(s): English, Lyn D.
Contribuinte(s)

Sullivan, Peter

Goos, Merrilyn

Data(s)

2011

Resumo

This paper argues for a renewed focus on statistical reasoning in the beginning school years, with opportunities for children to engage in data modelling. Some of the core components of data modelling are addressed. A selection of results from the first data modelling activity implemented during the second year (2010; second grade) of a current longitudinal study are reported. Data modelling involves investigations of meaningful phenomena, deciding what is worthy of attention (identifying complex attributes), and then progressing to organising, structuring, visualising, and representing data. Reported here are children's abilities to identify diverse and complex attributes, sort and classify data in different ways, and create and interpret models to represent their data.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/46990/

Publicador

MERGA Inc.

Relação

http://eprints.qut.edu.au/46990/3/c46990.pdf

http://www.merga.net.au/documents/RP_ENGLISH_MERGA34-AAMT.pdf

English, Lyn D. (2011) Data modelling in the beginning school years. In Sullivan, Peter & Goos, Merrilyn (Eds.) Proceedings of the 34th Annual Conference of the Mathematics Education Research Group of Australia (MERGA), MERGA Inc., Alice Springs, NT , pp. 226-234.

http://purl.org/au-research/grants/ARC/DP0984178

Direitos

Copyright 2011 AAMT & MERGA

Fonte

Faculty of Education

Palavras-Chave #130105 Primary Education (excl. Maori) #130208 Mathematics and Numeracy Curriculum and Pedagogy #Data modelling #Statistical reasoning #Mathematics education
Tipo

Conference Paper