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Knowledge Cartography

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Cover of 'Knowledge Cartography'

Table of Contents

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    Book Overview
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    Chapter 1 Empirical Studies of the Value of Conceptually Explicit Notations in Collaborative Learning
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    Chapter 2 Concept Mapping Using CmapTools to Enhance Meaningful Learning
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    Chapter 3 Enhancing Collaborative and Meaningful Language Learning Through Concept Mapping
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    Chapter 4 Thinking Maps®: A Visual Language for Learning
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    Chapter 5 The Constructivist Mapping of Internet Information at Work with Nestor
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    Chapter 6 Cognitive and Pedagogical Benefits of Argument Mapping: LAMP Guides the Way to Better Thinking
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    Chapter 7 Scaffolding School Pupils’ Scientific Argumentation with Evidence-based Dialogue Maps
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    Chapter 8 Argument Diagramming: The Araucaria Project
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    Chapter 9 Mapping the Curriculum: How Concept Maps can Improve the Effectiveness of Course Development
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    Chapter 10 Using Compendium as a Tool to Support the Design of Learning Activities
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    Chapter 11 Performing Knowledge Art: Understanding Collaborative Cartography
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    Chapter 12 Knowledge Cartography for Controversies: The Iraq Debate
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    Chapter 13 Computer Supported Argument Visualisation: Modelling in Consultative Democracy Around Wicked Problems
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    Chapter 14 Human-Agent Knowledge Cartography for e-Science: NASA Field Trials at the Mars Desert Research Station
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    Chapter 15 Template-Based Structured Argumentation
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    Chapter 16 An Experience of the Use of the Cognitive Mapping Method in Qualitative Research
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    Chapter 17 Collaborative Knowledge Modelling with a Graphical Knowledge Representation Tool: A Strategy to Support the Transfer of Expertise in Organisations
Attention for Chapter 1: Empirical Studies of the Value of Conceptually Explicit Notations in Collaborative Learning
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Citations

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9 Mendeley
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Chapter title
Empirical Studies of the Value of Conceptually Explicit Notations in Collaborative Learning
Chapter number 1
Book title
Knowledge Cartography
Published in
ADS, January 2008
DOI 10.1007/978-1-84800-149-7_1
Book ISBNs
978-1-84800-148-0, 978-1-84800-149-7
Authors

Daniel D. Suthers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 22%
Student > Doctoral Student 2 22%
Student > Ph. D. Student 2 22%
Other 1 11%
Researcher 1 11%
Other 1 11%
Readers by discipline Count As %
Computer Science 5 56%
Psychology 3 33%
Design 1 11%