Young children’s metarepresentational competence in data modelling

English, Lyn D. (2012) Young children’s metarepresentational competence in data modelling. In Dindyal, Jaguthsing, Cheng, Lu Pien, & Ng, Swee Fong (Eds.) Mathematics education : expanding horizons : proceedings of the 35th Annual Conference of the Mathematics Education Research Group of Australasia, MERGA Inc, Singapore, pp. 266-273.

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Abstract

longitudinal study of data modelling across grades 1-3. The activity engaged children in designing, implementing, and analysing a survey about their new playground. 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. The core components of data modelling addressed here are children’s structuring and representing of data, with a focus on their display of metarepresentational competence (diSessa, 2004). Such competence includes students’ abilities to invent or design a variety of new representations, explain their creations, understand the role they play, and critique and compare the adequacy of representations. Reported here are the ways in which the children structured and represented their data, the metarepresentational competence displayed, and links between their metarepresentational competence and conceptual competence.

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ID Code: 55617
Item Type: Conference Paper
Refereed: Yes
Funders: ARC
Keywords: Data Modeling, Statistical Reasoning, Young Children, Maths Education
Subjects: Australian and New Zealand Standard Research Classification > EDUCATION (130000) > CURRICULUM AND PEDAGOGY (130200) > Curriculum and Pedagogy Theory and Development (130202)
Divisions: Current > Schools > School of Curriculum
Current > QUT Faculties and Divisions > Faculty of Education
Funding:
Copyright Owner: Copyright 2012 please contact the authors
Deposited On: 14 Dec 2012 02:43
Last Modified: 02 Oct 2014 01:31

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