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Data modelling with first-grade students

English, Lyn D. (2012) Data modelling with first-grade students. Educational Studies In Mathematics.

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Abstract

This paper argues for a renewed focus on statistical reasoning in the beginning school years, with opportunities for children to engage in data modelling. Results are reported from the first year of a 3-year longitudinal study in which three classes of first-grade children (6-year-olds) and their teachers engaged in data modelling activities. The theme of Looking after our Environment, part of the children’s science curriculum, provided the task context. The goals for the two activities addressed here included engaging children in core components of data modelling, namely, selecting attributes, structuring and representing data, identifying variation in data, and making predictions from given data. Results include the various ways in which children represented and re represented collected data, including attribute selection, and the metarepresentational competence they displayed in doing so. The “data lenses” through which the children dealt with informal inference (variation and prediction) are also reported.

Impact and interest:

2 citations in Scopus
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2 citations in Web of Science®

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180 since deposited on 01 Feb 2012
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ID Code: 48400
Item Type: Journal Article
Additional Information: Springer ESM Online First
Keywords: Data modelling, Young learners, Informal inference, Statistical reasoning, Problem solving
DOI: 10.1007/s10649-011-9377-3
ISSN: 0013-1954
Subjects: Australian and New Zealand Standard Research Classification > EDUCATION (130000) > CURRICULUM AND PEDAGOGY (130200) > Curriculum and Pedagogy Theory and Development (130202)
Australian and New Zealand Standard Research Classification > EDUCATION (130000) > CURRICULUM AND PEDAGOGY (130200) > Mathematics and Numeracy Curriculum and Pedagogy (130208)
Divisions: Current > Schools > School of Curriculum
Current > QUT Faculties and Divisions > Faculty of Education
Copyright Owner: Copyright 2012 Springer
Copyright Statement: The original publication is available at SpringerLink http://www.springerlink.com
Deposited On: 01 Feb 2012 22:39
Last Modified: 27 Mar 2013 10:30

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