Implications of learning analytics for serious game design

Jannicke Baalsrud Hauge, Baltasar Fernández-Manjón, Riccardo Berta, Giusy Fiucci, Carmen Padrón-Nápoles, Rob Nadolski, Wim Westera

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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    Abstract

    This paper addresses the implications of combining learning analytics and serious games for improving game quality, monitoring and assessment of player behavior, gaming performance, game progression, learning goals achievement, and user’s appreciation. We introduce two modes of serious games analytics: in-game (real time) analytics, and post-game (off-line) analytics. We also explain the GLEANER framework for in-game analytics and describe a practical example for off-line analytics. We conclude with a brief outlook on future work, highlighting opportunities and challenges towards a solid uptake of SGs in authentic educational and training.
    Original languageEnglish
    Title of host publicationProceedings ICALT 2014
    Subtitle of host publication2014 IEEE 14th International Conference on Advanced Learning Technologies (ICALT)
    EditorsD.G. Sampson, J.M. Spector
    PublisherIEEE
    Pages230-232
    Number of pages3
    ISBN (Electronic)978-1-4799-4038-7
    DOIs
    Publication statusPublished - 22 Sep 2014

    Keywords

    • game
    • serious
    • assessment
    • learning
    • analytics
    • gleaner
    • logging

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