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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/5507
Title: Implications of learning analytics for serious game design
Authors: Baalsrud Hauge, Jannicke
Fernández Manjón, Baltasar
Bellotti, Francesco
Fiucci, Giusy
Padrón-Nápoles, Carmen
Nadolski, Rob
Westera, Wim
Keywords: game
serious
assessment
learning
analytics
gleaner
logging
Issue Date: 2-Sep-2014
Citation: Baalsrud Hauge, J., Berta, R., Fiucci, G., Fernández Manjon, B., Pádron-Napoles, C., Nadolski, R. J., & Westera, W. (2014, 7-9 July). Implications of learning analytics for serious game design. In D. G. Sampson, & J. M. Spector (Eds.), Proceedings of the 14th International Conference on Advanced Learning Technologies (pp. 230-232). Athens, Greece: IEEE
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.
URI: http://hdl.handle.net/1820/5507
Appears in Collections:1. FEEEL Publications, books and conference papers

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