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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/9181
Title: Learning Analytics and Assessment in Serious Games
Authors: Baalsrud Hauge, Jannicke
Bellotti, Francesco
Fernández-Manjón, Baltasar
Nadolski, Rob
Keywords: serious games
GALA
Issue Date: 2014
Citation: Baalsrud Hauge, J., Bellotti, F., Fernández-Manjón, B., & Nadolski, R. J. (2014, 3-5 April). Learning Analytics and Assessment in Serious Games. In O. Kaynak, M. E. Auer, & M. Llamas (Eds.), Special Track at the IEEE-Educon Conference (pp. 867-877), Istanbul, Turkey. ISBN of proceedings 978-1-4799-3190-3.
Abstract: Serious Games (SG) offer a high potential to support and improve learning in engineering educational and training settings. But even if SG success cases do exit, it is still to be proven how this approach can be scaled up to be applied into large domains and how to simplify and streamline SG integration in the curriculum. A key aspect for SG acceptance and application is the assessment of knowledge and skills acquired the use of the SGa. New techniques such as learning analytics and stealth assessment can contribute in this effort to better assess the students educational gain and become a reference for new evidence-based models in education and training. This special session has been proposed by the GALA (Games and Learning Alliance) Network of Excellence about Serious Games, funded by EU ICT Seven Framework Programme. The objective is to collect, analyse and discuss the latest outcomes on the topic of learning analytics and assessment in SGs in engineering education and related fields (e.g. STEM+).
URI: http://hdl.handle.net/1820/9181
Appears in Collections:1. FEEEL Publications, books and conference papers

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