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Game-Based Learning Analytics: Insights from an Integrated Design Process

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Serious Games (JCSG 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15259))

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Abstract

Game-Based Learning Analytics (GBLA) is a method of integrating Game-Based Learning and Learning Analytics to enhance the effectiveness of the learning process in educational games by providing actionable learning analytics information to players within the game environment. This paper presents initial insights from an integrated design process to achieve this goal. Through a series of interdisciplinary workshops culminating in a participant playtest session, this paper highlights the challenges and opportunities that arise from this integration. The findings point to the importance of early consideration of learning analytics in game design, the challenges of conceptualizing the differences between game feedback and learning feedback, and how learners interpret learning feedback within the context of the game. This work lays the groundwork for future research and development in the interaction between Game-Based Learning and Learning Analytics.

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Authors and Affiliations

  1. New York University, New York, NY, 10012, USA

    Maurice Boothe Jr., Madhumitha Gopalakrishnan, Mischa Huynh, Yanzhi Wang & Xavier Ochoa

Authors
  1. Maurice Boothe Jr.
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  2. Madhumitha Gopalakrishnan
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  3. Mischa Huynh
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  4. Yanzhi Wang
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  5. Xavier Ochoa
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Correspondence to Maurice Boothe Jr. .

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Editors and Affiliations

  1. New York University, Brooklyn, NY, USA

    Jan L. Plass

  2. New York University, Brooklyn, NY, USA

    Xavier Ochoa

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Boothe, M., Gopalakrishnan, M., Huynh, M., Wang, Y., Ochoa, X. (2025). Game-Based Learning Analytics: Insights from an Integrated Design Process. In: Plass, J.L., Ochoa, X. (eds) Serious Games. JCSG 2024. Lecture Notes in Computer Science, vol 15259. Springer, Cham. https://doi.org/10.1007/978-3-031-74138-8_9

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  • DOI: https://doi.org/10.1007/978-3-031-74138-8_9

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