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Autor/inMulligan, Joanne
TitelMoving beyond Basic Numeracy: Data Modeling in the Early Years of Schooling
QuelleIn: ZDM: The International Journal on Mathematics Education, 47 (2015) 4, S.653-663 (11 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1863-9690
DOI10.1007/s11858-015-0687-2
SchlagwörterForeign Countries; Numeracy; Elementary School Mathematics; Elementary School Students; Young Children; Grade 1; Mathematics Skills; Mathematical Models; Graphs; Data Collection; Data Interpretation; Statistics; Mathematical Concepts; Early Childhood Education; Australia
AbstractRecent research has shown that young children are capable of engaging in data modeling and making informed judgments, an aspect of the mathematics curriculum not previously considered integral to early numeracy. In an Australian study, a sample of 21 highly able Grade 1 students was engaged in a series of investigations where they developed their own ways of representing data they had collected themselves. Students made impressive progress in 1 year, partly as a result of students' repeated critical reflection and refinement of their graphical representations, which enhanced a wide range of meta-representational competencies. The five structures inherent in the Awareness of Mathematical Pattern and Structure model supported the interpretation of their development of statistical concepts. The study indicates that student-led data modeling with an emphasis on pattern and structure can contribute to critical numeracy and enhance the early development of statistical concepts. (As Provided).
AnmerkungenSpringer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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