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Learning from Dynamic Visualization

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Cover of 'Learning from Dynamic Visualization'

Table of Contents

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    Book Overview
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    Chapter 1 A Composition Approach to Design of Educational Animations
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    Chapter 2 Learning from Animations: From 2D to 3D?
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    Chapter 3 Looking Across Instead of Back and Forth: How the Simultaneous Presentation of Multiple Animation Episodes Facilitates Learning
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    Chapter 4 Learning from Static and Dynamic Visualizations: What Kind of Questions Should We Ask?
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    Chapter 5 The Role of Craft-Based Knowledge in the Design of Dynamic Visualizations
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    Chapter 6 Designing Instructional Science Visualizations in the Trenches: Where Research Meets Production Reality
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    Chapter 7 Dynamic Visuospatial Ability and Learning from Dynamic Visualizations
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    Chapter 8 Demonstration Tasks for Assessment
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    Chapter 9 Assessing Science Inquiry and Reasoning Using Dynamic Visualizations and Interactive Simulations
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    Chapter 10 Design of Effective Dynamic Visualizations: A Struggle Between the Beauty and the Beast? Commentary on Parts I and II
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    Chapter 11 Attention Guidance Strategies for Supporting Learning from Dynamic Visualizations
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    Chapter 12 Learning Three-Dimensional Anatomical Structures with Animation: Effect of Orientation References and Learners’ Spatial Ability
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    Chapter 13 Self-generated Drawing: A Help or Hindrance to Learning from Animation?
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    Chapter 14 Drawing for Promoting Learning and Engagement with Dynamic Visualizations
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    Chapter 15 Strategies for Learning from Animation With and Without Narration
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    Chapter 16 Guiding Cognitive Processing During Learning with Animations: Commentary on Parts III and IV
Overall attention for this book and its chapters
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Title
Learning from Dynamic Visualization
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-56204-9
ISBNs
978-3-31-956204-9, 978-3-31-956202-5
Editors

Richard Kingsley Lowe, Rolf Ploetzner

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 28%
Student > Master 6 11%
Professor > Associate Professor 5 9%
Professor 4 8%
Student > Doctoral Student 3 6%
Other 8 15%
Unknown 12 23%
Readers by discipline Count As %
Social Sciences 11 21%
Psychology 9 17%
Arts and Humanities 4 8%
Computer Science 2 4%
Chemistry 2 4%
Other 8 15%
Unknown 17 32%