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Linking science and statistics: curriculum expectations in three countries

Citation

Watson, JM, Linking science and statistics: curriculum expectations in three countries, International Journal of Science and Mathematics Education, 15, (6) pp. 1057-1073. ISSN 1571-0068 (2017) [Refereed Article]

Copyright Statement

Copyright 2016 Ministry of Science and Technology, Taiwan

DOI: doi:10.1007/s10763-015-9673-y

Abstract

This paper focuses on the curriculum links between statistics and science that teachers need to understand and apply in order to be effective teachers of the two fields of study. Meaningful statistics does not exist without context and science is the context for this paper. Although curriculum documents differ from country to country, this paper uses extracts from three countries: Australia, New Zealand and the USA. The statistical ideas from the Australian Curriculum: Mathematics, the New Zealand Mathematics and Statistics Curriculum and the US Common Core State Standards for Mathematics are linked to the relevant parts of the Australian Curriculum: Science, the New Zealand Science Curriculum and the US Next Generation Science Standards for States, by States. Teachers of mathematics need to be aware of the potential of science to provide meaningful contexts within which to set statistical investigations. Similarly, teachers of science, who are developing methods for implementing investigations and experiments in their classrooms, need to be aware of the close ties to statistical tools for decision-making.

Item Details

Item Type:Refereed Article
Keywords:Common Core State Standards, international curriculum comparison, science curriculum, statistics curriculum, Australian curricula, New Zealand curricula, US curricula
Research Division:Education
Research Group:Curriculum and Pedagogy
Research Field:Mathematics and Numeracy Curriculum and Pedagogy
Objective Division:Education and Training
Objective Group:Education and Training Systems
Objective Field:Education and Training Systems not elsewhere classified
Author:Watson, JM (Professor Jane Watson)
ID Code:107797
Year Published:2017 (online first 2016)
Deposited By:Education
Deposited On:2016-03-24
Last Modified:2017-11-21
Downloads:0

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