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Computer Supported Collaborative Learning

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Cover of 'Computer Supported Collaborative Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Collaborative Problem Solving with HyperCard: The Influence of Peer Interaction on Planning and Information Handling Strategies
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    Chapter 2 Small Group Collaborative Discovery Learning from Hypertext
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    Chapter 3 Peer Interaction and Writing: The Process of Revision
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    Chapter 4 Computer Support for the Collaborative Learning of Physics Concepts
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    Chapter 5 The Construction of Shared Knowledge in Collaborative Problem Solving
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    Chapter 6 Learning Network Design: Coordinating Group Interactions in Formal Learning Environments Over Time and Distance
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    Chapter 7 Computer Supported Collaborative Learning in a Multi-Media Distance Education Environment
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    Chapter 8 Distance Learning and Computer-Mediated Communication: Interactive, Quasi-Interactive or Monologue?
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    Chapter 9 Educational Practice Within Two Local Computer Networks
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    Chapter 10 Technology’s Role in Restructuring for Collaborative Learning
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    Chapter 11 The Negotiation of Dialogue Focus: An Investigation of Dialogue Processes in Joint Planning in a Computer Based Task
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    Chapter 12 Computational Modelling of Constructive Interaction: Relaxing the Mutuality Hypothesis
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    Chapter 13 Designing Human-Computer Collaborative Learning
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    Chapter 14 Issues in Computer Supported Collaborative Learning
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    Chapter 15 Designing Computer Support for Collaborative Learning
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Citations

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156 Dimensions

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Title
Computer Supported Collaborative Learning
Published by
Springer Berlin Heidelberg, December 2012
DOI 10.1007/978-3-642-85098-1
ISBNs
978-3-64-285100-1, 978-3-64-285098-1
Editors

O’Malley, Claire

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Arab Emirates 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 20%
Student > Ph. D. Student 6 15%
Lecturer 4 10%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 7 17%
Unknown 10 24%
Readers by discipline Count As %
Computer Science 9 22%
Social Sciences 8 20%
Business, Management and Accounting 3 7%
Psychology 2 5%
Agricultural and Biological Sciences 1 2%
Other 6 15%
Unknown 12 29%