Abstract
Current Game-based Learning (GBL) applications often lack features that have been commonplace in conventional e-learning. One of these is the ability to provide players with a personalised experience. The author's dissertation aims at further establishing adaptivity in GBL as a practical feature through three contributions: An adaptive educational game that fulfills key demands for GBL; an architecture that adapts at runtime according to authored references; and a controlled trial to evaluate effects of adaptivity in a statistically sound way. © 2012 Springer-Verlag.
Cite
CITATION STYLE
Berger, F. (2012). Evaluating an implementation of an adaptive game-based learning architecture. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7379 LNCS, pp. 351–355). https://doi.org/10.1007/978-3-642-31454-4_34
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