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Concept Mapping in Mathematics

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Cover of 'Concept Mapping in Mathematics'

Table of Contents

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    Book Overview
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    Chapter 1 The Development and Evolution of the Concept Mapping Tool Leading to a New Model for Mathematics Education
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    Chapter 2 Analysing the “Measurement” Strand Using Concept Maps and Vee Diagrams
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    Chapter 3 Concept Mapping as a Means to Develop and Assess Conceptual Understanding in Primary Mathematics Teacher Education
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    Chapter 4 Using Concept Maps and Vee Diagrams to Analyse the “Fractions” Strand in Primary Mathematics
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    Chapter 5 Concept Maps as Innovative Learning and Assessment Tools in Primary Schools
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    Chapter 6 Evidence of Meaningful Learning in the Topic of ‘Proportionality’ in Second Grade Secondary Education
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    Chapter 7 Concept Mapping as a Means to Develop and Assess Conceptual Understanding in Secondary Mathematics Teacher Education
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    Chapter 8 Concept Mapping a Teaching Sequence and Lesson Plan for “Derivatives”
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    Chapter 9 Curricular Implications of Concept Mapping in Secondary Mathematics Education
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    Chapter 10 Using Concept Maps and Gowin’s Vee to Understand Mathematical Models of Physical Phenomena
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    Chapter 11 Applying Concept Mapping to Algebra I
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    Chapter 12 Enhancing Undergraduate Mathematics Learning Using Concept Maps and Vee Diagrams
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    Chapter 13 Concept Mapping: An Important Guide for the Mathematics Teaching Process
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    Chapter 14 Concept Mapping and Vee Diagramming “Differential Equations”
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    Chapter 15 Using Concept Maps to Mediate Meaning in Undergraduate Mathematics
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    Chapter 16 Implications and Future Research Directions
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54 Mendeley
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Title
Concept Mapping in Mathematics
Published by
Springer US, January 2009
DOI 10.1007/978-0-387-89194-1
ISBNs
978-0-387-89193-4, 978-0-387-89194-1, 978-1-4419-4705-5
Editors

Karoline Afamasaga-Fuata'i

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
United Kingdom 1 2%
Spain 1 2%
South Africa 1 2%
Unknown 50 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 15%
Student > Master 8 15%
Student > Doctoral Student 6 11%
Lecturer 5 9%
Professor 5 9%
Other 15 28%
Unknown 7 13%
Readers by discipline Count As %
Social Sciences 19 35%
Mathematics 11 20%
Arts and Humanities 3 6%
Psychology 3 6%
Computer Science 2 4%
Other 9 17%
Unknown 7 13%