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

  • Shamus P. Smith
  • Daniel Hickmott
  • Erica Southgate
  • Ross Bille
  • Liz Stephens
Conference paper

DOI: 10.1007/978-3-319-45841-0_2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9894)
Cite this paper as:
Smith S.P., Hickmott D., Southgate E., Bille R., Stephens L. (2016) Exploring Play-Learners’ Analytics in a Serious Game for Literacy Improvement. In: Marsh T., Ma M., Oliveira M., Baalsrud Hauge J., Göbel S. (eds) Serious Games. JCSG 2016. Lecture Notes in Computer Science, vol 9894. Springer, Cham

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 

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

Personalised recommendations