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Data Analytics Approaches in Educational Games and Gamification Systems

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Cover of 'Data Analytics Approaches in Educational Games and Gamification Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Educational Games and Gamification: From Foundations to Applications of Data Analytics
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    Chapter 2 Rich Representations for Analyzing Learning Trajectories: Systematic Review on Sequential Data Analytics in Game-Based Learning Research
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    Chapter 3 Opportunities for Analytics in Challenge-Based Learning
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    Chapter 4 Game-Based Learning Analytics in Physics Playground
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    Chapter 5 Learning Analytics on the Gamified Assessment of Computational Thinking
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    Chapter 6 iMoodle: An Intelligent Gamified Moodle to Predict “at-risk” Students Using Learning Analytics Approaches
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    Chapter 7 Integrating a Learning Analytics Dashboard in an Online Educational Game
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    Chapter 8 Learning Word Problem Solving Process in Primary School Students: An Attempt to Combine Serious Game and Polya’s Problem Solving Model
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    Chapter 9 Designing a 3D Board Game on Human Internal Organs for Elementary Students
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    Chapter 10 Learner Modeling and Learning Analytics in Computational Thinking Games for Education
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    Chapter 11 Motivational Factors Through Learning Analytics in Digital Game-Based Learning
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    Chapter 12 Designing, Developing and Evaluating Gamification: An Overview and Conceptual Approach
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    Chapter 13 Data Analytics Approaches in Educational Games and Gamification Systems: Summary, Challenges, and Future Insights
Attention for Chapter 4: Game-Based Learning Analytics in Physics Playground
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Citations

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Chapter title
Game-Based Learning Analytics in Physics Playground
Chapter number 4
Book title
Data Analytics Approaches in Educational Games and Gamification Systems
Published by
Springer, Singapore, January 2019
DOI 10.1007/978-981-32-9335-9_4
Book ISBNs
978-9-81-329334-2, 978-9-81-329335-9
Authors

Valerie Shute, Seyedahmad Rahimi, Ginny Smith

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Researcher 4 10%
Lecturer 3 8%
Student > Doctoral Student 2 5%
Student > Master 2 5%
Other 6 15%
Unknown 14 36%
Readers by discipline Count As %
Computer Science 5 13%
Psychology 4 10%
Social Sciences 4 10%
Mathematics 2 5%
Linguistics 1 3%
Other 8 21%
Unknown 15 38%

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