Exploring Play-Learners’ Analytics in a Serious Game for Literacy Improvement

  • Shamus P. Smith
  • Daniel Hickmott
  • Erica Southgate
  • Ross Bille
  • Liz Stephens
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9894)

Abstract

The collection and analysis of analytics incorporated into serious games provides researchers with objective data on player behavior related to serious game design elements and learning. Such analytics offer insights about play-learners engagement that is not possible to capture through traditional techniques. Visualization of learning behavior data can allow for a comparison between the pedagogical intent of the game design and the play-learners actual behavior within the serious game. This paper describes the use of game-play logs to identify pathways through gaming content in a serious game app for literacy improvement. The paper describes the technical aspects of processing game-play logs and their transformation into visualizations, and considers how these visualizations can be used to explore play-learner behavior in relation to the pedagogical intent of activities embedded in the serious game app.

Keywords

Game-play analytics Serious game Literacy app Visualization Pedagogy Gamification Learning 

Notes

Acknowledgements

The development of the Apostrophe Power app4 was supported in part by the Centre of Excellence for Equity in Higher Education, University of Newcastle, Australia (Grant #185826036) and the Literacy App Project (HEPP National Priority Pool Grant #188626554). Thanks also to Jeffrey Julian and Samsung for equipment support.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Shamus P. Smith
    • 1
  • Daniel Hickmott
    • 2
  • Erica Southgate
    • 2
  • Ross Bille
    • 1
  • Liz Stephens
    • 2
  1. 1.School of Electrical Engineering and Computer ScienceThe University of NewcastleCallaghanAustralia
  2. 2.School of EducationThe University of NewcastleCallaghanAustralia

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