Easy Authoring of Intelligent Tutoring Systems for Synthetic Environments
Stephen B. Gilbert, Shrenik Devasani, Sateesh Kumar Kodavali, Stephen B. Blessing · 2011
We describe how the Extensible Problem Specific Tutor (xPST), an open source engine for intelligent tutoring systems, has been adapted to provide training within game-engine based synthetic environments. We have designed a web-based tutor-authoring tool and have conducted a study that shows that xPST can be used by authors with minimal programming experience to create tutors for 3D game environments. As a proof of concept, we also describe how xPST has been extended to provide support to tutor based on real-time physiological data. We suggest that xPST could be a key component of the future of real-time personalized and adaptive live, virtual, and constructive training.