Data Analytics Approaches in Educational Games and Gamification Systems

1. Front Matter

   Pages i-xx

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2. Introduction

   1. Front Matter

      Pages 1-1

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   2. Educational Games and Gamification: From Foundations to Applications of Data Analytics

      • Jina Kang, Jewoong Moon, Morgan Diederich

      Pages 3-23

3. Learning Analytics in Educational Games and Gamification Systems

   1. Front Matter

      Pages 25-25

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   2. Rich Representations for Analyzing Learning Trajectories: Systematic Review on Sequential Data Analytics in Game-Based Learning Research

      • Jewoong Moon, Zhichun Liu

      Pages 27-53

   3. Opportunities for Analytics in Challenge-Based Learning

      • Dirk Ifenthaler, David Gibson

      Pages 55-68

   4. Game-Based Learning Analytics in Physics Playground

      • Valerie Shute, Seyedahmad Rahimi, Ginny Smith

      Pages 69-93

   5. Learning Analytics on the Gamified Assessment of Computational Thinking

      • Juan Montaño, Cristian Mondragón, Hendrys Tobar-Muñoz, Laura Orozco

      Pages 95-109

4. Academic Analytics and Learning Assessment in Educational Games and Gamification Systems

   1. Front Matter

      Pages 111-111

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   2. iMoodle: An Intelligent Gamified Moodle to Predict “at-risk” Students Using Learning Analytics Approaches

      • Mouna Denden, Ahmed Tlili, Fathi Essalmi, Mohamed Jemni, Maiga Chang, Kinshuk et al.

      Pages 113-126

   3. Integrating a Learning Analytics Dashboard in an Online Educational Game

      • J. X. Seaton, Maiga Chang, Sabine Graf

      Pages 127-138

   4. Learning Word Problem Solving Process in Primary School Students: An Attempt to Combine Serious Game and Polya’s Problem Solving Model

      • Abdelhafid Chadli, Erwan Tranvouez, Fatima Bendella

      Pages 139-163

   5. Designing a 3D Board Game on Human Internal Organs for Elementary Students

      • Yu-Jie Zheng, I-Ling Cheng, Sie Wai Chew, Nian-Shing Chen

      Pages 165-184

5. Modeling Learners and Finding Individual Differences by Educational Games and Gamification Systems

   1. Front Matter

      Pages 185-185

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   2. Learner Modeling and Learning Analytics in Computational Thinking Games for Education

      • Sven Manske, Sören Werneburg, H. Ulrich Hoppe

      Pages 187-212

   3. Motivational Factors Through Learning Analytics in Digital Game-Based Learning

      • Rafael Luis Flores, Robelle Silverio, Rommel Feria, Ada Angeli Cariaga

      Pages 213-226

   4. Designing, Developing and Evaluating Gamification: An Overview and Conceptual Approach

      • Ana Carolina Tomé Klock, Isabela Gasparini, Marcelo Soares Pimenta

      Pages 227-246

6. Conclusion

   1. Front Matter

      Pages 247-247

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   2. Data Analytics Approaches in Educational Games and Gamification Systems: Summary, Challenges, and Future Insights

      • Ahmed Tlili, Maiga Chang

      Pages 249-255

Game-based learning environments and learning analytics are attracting increasing attention from researchers and educators, since they both can enhance learning outcomes. This book focuses on the application of data analytics approaches and research on human behaviour analysis in game-based learning environments, namely educational games and gamification systems, to provide smart learning. Specifically, it discusses the purposes, advantages and limitations of applying such approaches in these environments. Additionally, the various smart game-based learning environments presented help readers integrate learning analytics in their educational games and gamification systems to, for instance, assess and model students (e.g. their computational thinking) or enhance the learning process for better outcomes. Moreover, the book presents general guidelines on various aspects, such as collecting data for analysis, game-based learning environment design, system architecture and applied algorithms, which facilitate incorporating learning analytics into educational games and gamification systems.

After a general introduction to help readers become familiar with the subject area, the individual chapters each discuss a different aim of applying data analytics approaches in educational games and gamification systems. Lastly, the conclusion provides a summary and presents general guidelines and frameworks to consider when designing smart game-based learning environments with learning analytics.

• Learning Analytics
• Academic Analytics
• Data Analytics
• Educational Games
• Educational Gamification Systems
• Smart Learning Systems
• Stealth Assessment
• Learner Modeling
• Learning Improvement
• Educational Data Mining
• Computer-Based Learning

• Smart Learning Institute, Beijing Normal University, Beijing, China

  Ahmed Tlili

• School of Computing and Information Systems, Athabasca University, Edmonton, Canada

  Maiga Chang

Dr. Ahmed Tlili is a Postdoctoral Researcher at the Smart Learning Institute of Beijing Normal University, China. His research areas include game-based learning, smart learning environments, technology enhanced learning, learner modeling, adaptive learning systems, learning analytics, and educational psychology.


Dr. Maiga Chang is a Full Professor at the School of Computing and Information Systems at Athabasca University, Canada. His research mainly focuses on mobile and ubiquitous learning, museum e-learning, game-based learning, educational robots, learning behaviour analysis, data mining, intelligent agent technology, computational intelligence in e-learning, and mobile healthcare.

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