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Using Mobile Technologies in the Teaching and Learning of Mathematics

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Cover of 'Using Mobile Technologies in the Teaching and Learning of Mathematics'

Table of Contents

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    Book Overview
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    Chapter 1 Mobile Technologies: How Might Using Mobile Technologies Reshape the Learning and Teaching of Mathematics?
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    Chapter 2 Mathematics Apps—Stormy with the Weather Clearing: Using Cluster Analysis to Enhance App Use in Mathematics Classrooms
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    Chapter 3 How Might Apps Reshape the Mathematical Learning Experience?
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    Chapter 4 Mobile Technologies in the Primary Mathematics Classroom: Engaging or Not?
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    Chapter 5 When Robot A.L.E.X. Trains Teachers How to Teach Mathematics
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    Chapter 6 Supporting Teachers’ Orchestration of Mobile Learning Activities
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    Chapter 7 Collaborative Engagement Through Mobile Technology in Mathematics Learning
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    Chapter 8 Augmenting Mathematics with Mobile Technology
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    Chapter 9 Developing Mastery of Time Concepts Time concepts by Integrating Lessons and Apps
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    Chapter 10 Heatmap Heatmap and Hierarchical Clustering Hierarchical clustering Analysis to Highlight Changes in Young Children’s Developmental Progressions Using Virtual Manipulative Virtual manipulative Mathematics Apps
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    Chapter 11 A Better Story: An Embodied-Design Argument for Generic Manipulatives
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    Chapter 12 Fingers-on Geometry: The Emergence of Symmetry in a Primary School Classroom with Multi-touch Dynamic Geometry
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    Chapter 13 Touching Numbers and Feeling Quantities: Methodological Dimensions of Working with TouchCounts
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    Chapter 14 Approaching Secondary School Geometry Through the Logic of Inquiry Within Technological Environments
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    Chapter 15 Mathematics Screencasts for Teaching and Learning
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    Chapter 16 The Use of Mobile Technologies in the Primary School Mathematics Classroom—Developing ‘Create-Alouds’
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    Chapter 17 Using Show and Tell Apps to Engage Students in Problem-Solving in the Mathematics Classroom
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Title
Using Mobile Technologies in the Teaching and Learning of Mathematics
Published by
Springer International Publishing, July 2018
DOI 10.1007/978-3-319-90179-4
ISBNs
978-3-31-990178-7, 978-3-31-990179-4
Editors

Calder, Nigel, Larkin, Kevin, Sinclair, Nathalie

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 38%
Student > Bachelor 2 15%
Student > Ph. D. Student 2 15%
Professor 1 8%
Lecturer 1 8%
Other 2 15%
Readers by discipline Count As %
Social Sciences 8 62%
Mathematics 2 15%
Computer Science 2 15%
Linguistics 1 8%