Automated performance assessment and feedback for free-play simulation-based training

Abstract

Practice and experience, whether simulated or on the job, are not enough to ensure effective learning. Learners must be able to make sense of those experiences to identify poor decisions and actions, missing knowledge, and weak skills that deserve attention. Using instructors to provide one-on-one instruction is effective but also expensive. This article describes ways of using intelligent software to assess student performance and provide feedback automatically in free-play simulations. Case studies describe applications of these methods.