Dynamically Adapting Training Systems Based on User Interactions - 0 views
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Garrett Eastman on 16 Dec 11"Game-based simulation systems are increasingly being used to train users in several applications across government, in- dustry, and academia. Designing game-based training sys- tems that can measurably improve learning while providing an engaging training experience is a challenging problem. In this paper, we describe a novel framework that tightly inte- grates game-based training systems with instructional com- ponents using data analysis to address this problem. Intelli- gent training systems based on this framework dynamically adapt both the training and the instructional components to measurably improve learning in play sessions. We propose a three phase approach to automatically identify points in a play session to predict high-value future scenarios, validate predictions, and prescribe actions. A case study using the KDD Cup 2010 educational data set is described illustrating the e®ectiveness of the proposed approach."