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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/5513
Title: Immersive multi-user decision training games with ARLearn
Authors: Klemke, Roland
Ternier, Stefaan
Kalz, Marco
Schmitz, Birgit
Specht, Marcus
Keywords: Mobile learning
serious games
decision training
mobile serious games
Multi-role game-design
immersiveness
Issue Date: 3-Sep-2014
Citation: Klemke, R., Ternier, S., Kalz, M., Schmitz, B., & Specht, M. (2014, 16-19 September). Immersive Multi-user Decision Training Games with AR-Learn. In C. Rensing, S. de Freitas, T. Ley, & P. Muñoz-Merino (Eds.), Open Learning and Teaching in Educational Communities. Proceedings of the 9th European Conference on Technology Enhanced Learning (EC-TEL), Lecture Notes in Computer Science 8719 (pp. 207-220). Graz, Austria: Springer International Publishing. http://dx.doi.org/10.1007/978-3-319-11200-8_16 Please see also: http://dspace.ou.nl/handle/1820/5538
Series/Report no.: Lecture Notes in Computer Science;8719
Abstract: Serious gaming approaches so far focus mainly on skill development, motivational aspects or providing immersive learning situations. Little work has been reported to foster awareness and decision competencies in complex deci-sion situations involving incomplete information and multiple stakeholders. We address this issue exploring the technical requirements and possibilities to de-sign games for such situations in three case studies: a hostage taking situation, a multi-stakeholder logistics case, and a health-care related emergency case. To implement the games, we use a multi-user enabled mobile game development platform (ARLearn). We describe the underlying real world situations and edu-cational challenges and analyse how these are reflected in the ARLearn games realized. Based on these cases we propose a way to increase the immersiveness of mobile learning games.
URI: http://hdl.handle.net/1820/5513
ISBN: 978-3-319-11199-5
Appears in Collections:1. TELI Publications, books and conference papers

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