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Research in Mathematics Education in Australasia 2012-2015

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Cover of 'Research in Mathematics Education in Australasia 2012-2015'

Table of Contents

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    Book Overview
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    Chapter 1 Research in Mathematics Education in Australasia 2012-2015
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    Chapter 2 Reflections on the MERGA Research Review 2008–2011: Taking Stock
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    Chapter 3 A Philosophical Gaze on Australasian Mathematics Education Research
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    Chapter 4 Researching Curriculum, Policy and Leadership in Mathematics Education
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    Chapter 5 Mathematics Education and the Affective Domain
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    Chapter 6 Equity, Social Justice and Ethics in Mathematics Education
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    Chapter 7 Inclusive Practices in Mathematics Education
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    Chapter 8 Distribution, Recognition and Representation: Mathematics Education and Indigenous Students
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    Chapter 9 Mathematics Education in the Early Years
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    Chapter 10 Tertiary Mathematics Education
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    Chapter 11 Innovative and Powerful Pedagogical Practices in Mathematics Education
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    Chapter 12 Assessment of Mathematics Learning: What Are We Doing?
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    Chapter 13 Transformations of Teaching and Learning Through Digital Technologies
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    Chapter 14 Research into Mathematical Applications and Modelling
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    Chapter 15 Challenges, Reforms, and Learning in Initial Teacher Education
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    Chapter 16 Research in Mathematics Education in Australasia 2012-2015
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    Chapter 17 Research in Mathematics Education in Australasia 2012-2015
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Title
Research in Mathematics Education in Australasia 2012-2015
Published by
Springer Singapore, January 2016
DOI 10.1007/978-981-10-1419-2
ISBNs
978-9-81-101417-8, 978-9-81-101419-2
Editors

Katie Makar, Shelley Dole, Jana Visnovska, Merrilyn Goos, Anne Bennison, Kym Fry

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Unknown 83 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 15%
Student > Master 13 15%
Lecturer 12 14%
Student > Doctoral Student 5 6%
Professor 5 6%
Other 14 17%
Unknown 22 26%
Readers by discipline Count As %
Social Sciences 26 31%
Mathematics 22 26%
Arts and Humanities 8 10%
Economics, Econometrics and Finance 1 1%
Veterinary Science and Veterinary Medicine 1 1%
Other 2 2%
Unknown 24 29%