Tracking structural development through data modelling in highly able Grade 1 students


Autoria(s): Mulligan, Joanne; Hodge, Kerry; Mitchelmore, Mike; English, Lyn; ,
Contribuinte(s)

Steinle, V.

Ball, L.

Bardini, C.

Data(s)

2013

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

http://eprints.qut.edu.au/64791/

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