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 decision situations involving incomplete information and multiple stakeholders. We address this issue exploring the technical requirements and possibilities to design 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 educational 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. © 2014 Springer International Publishing Switzerland.
CITATION STYLE
Klemke, R., Ternier, S., Kalz, M., Schmitz, B., & Specht, M. (2014). Immersive multi-user decision training games with ARLearn. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8719 LNCS, pp. 207–220). Springer Verlag. https://doi.org/10.1007/978-3-319-11200-8_16
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