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Serious Games Analytics

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Cover of 'Serious Games Analytics'

Table of Contents

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    Book Overview
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    Chapter 1 Serious Games Analytics: Theoretical Framework
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    Chapter 2 A Meta-Analysis of Data Collection in Serious Games Research
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    Chapter 3 Guidelines for the Design and Implementation of Game Telemetry for Serious Games Analytics
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    Chapter 4 The Dynamical Analysis of Log Data Within Educational Games
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    Chapter 5 Measuring Expert Performance for Serious Games Analytics: From Data to Insights
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    Chapter 6 Cluster Evaluation, Description, and Interpretation for Serious Games
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    Chapter 7 Comparative Visualization of Player Behavior for Serious Game Analytics
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    Chapter 8 Examining Through Visualization What Tools Learners Access as They Play a Serious Game for Middle School Science
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    Chapter 9 Using Visual Analytics to Inform Rheumatoid Arthritis Patient Choices
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    Chapter 10 The Role of Serious Games in Robot Exoskeleton-Assisted Rehabilitation of Stroke Patients
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    Chapter 11 Evaluation-Based Design Principles
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    Chapter 12 Analytics-Driven Design: Impact and Implications of Team Member Psychological Perspectives on a Serious Games (SGs) Design Framework
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    Chapter 13 Design of Game-Based Stealth Assessment and Learning Support
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    Chapter 14 An Application of Exploratory Data Analysis in the Development of Game-Based Assessments
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    Chapter 15 Serious Games Analytics to Measure Implicit Science Learning
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    Chapter 16 A Game Design Methodology for Generating a Psychological Profile of Players
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    Chapter 17 Replay Analysis in Open-Ended Educational Games
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    Chapter 18 Using the Startle Eye-Blink to Measure Affect in Players
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    Chapter 19 Using Pattern Matching to Assess Gameplay
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Citations

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Title
Serious Games Analytics
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-05834-4
ISBNs
978-3-31-905833-7, 978-3-31-905834-4
Editors

Christian Sebastian Loh, Yanyan Sheng, Dirk Ifenthaler

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X Demographics

The data shown below were collected from the profiles of 14 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 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 204 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 20%
Student > Ph. D. Student 36 17%
Researcher 26 13%
Student > Bachelor 17 8%
Student > Doctoral Student 14 7%
Other 41 20%
Unknown 32 15%
Readers by discipline Count As %
Computer Science 76 37%
Social Sciences 28 14%
Psychology 12 6%
Engineering 12 6%
Business, Management and Accounting 7 3%
Other 33 16%
Unknown 39 19%