Tracking structural development through data modelling in highly able Grade 1 students
Contribuinte(s) |
Steinle, V. Ball, L. Bardini, C. |
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Data(s) |
2013
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Resumo |
A 3-year longitudinal study Transforming Children’s Mathematical and Scientific Development integrates, through data modelling, a pedagogical approach focused on mathematical patterns and structural relationships with learning in science. As part of this study, a purposive sample of 21 highly able Grade 1 students was engaged in an innovative data modelling program. In the majority of students, representational development was observed. Their complex graphs depicting categorical and continuous data revealed a high level of structure and enabled identification of structural features critical to this development. |
Formato |
application/pdf |
Identificador | |
Publicador |
MERGA |
Relação |
http://eprints.qut.edu.au/64791/1/Mulligan_et_al_MERGA36-2013_.pdf http://www.merga.net.au/documents/Mulligan_et_al_MERGA36-2013_.pdf Mulligan, Joanne, Hodge, Kerry, Mitchelmore, Mike, English, Lyn, & , (2013) Tracking structural development through data modelling in highly able Grade 1 students. In Steinle, V., Ball, L., & Bardini, C. (Eds.) Mathematics Education : Yesterday, Today and Tomorrow (Proceedings of the 36th Annual Conference of the Mathematics Education Research Group of Australasia), MERGA, University of Melbourne, Victoria, Australia, pp. 530-537. http://purl.org/au-research/grants/ARC/DP110103586 |
Direitos |
Copyright 2013 Mathematics Education Research Group of Australasia Inc. |
Fonte |
School of Curriculum; Faculty of Education |
Palavras-Chave | #130000 EDUCATION |
Tipo |
Conference Paper |