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

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.

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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.

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ID Code: 64791
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
ISSN: 0812-7859
Subjects: Australian and New Zealand Standard Research Classification > EDUCATION (130000)
Divisions: Current > Schools > School of Curriculum
Current > QUT Faculties and Divisions > Faculty of Education
Copyright Owner: Copyright 2013 Mathematics Education Research Group of Australasia Inc.
Deposited On: 25 Nov 2013 22:42
Last Modified: 24 May 2014 09:35

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