Abstract
Model-driven simulation can make the design and delivery of instruction more efficient and effective. We describe two computational models that support both the design and delivery of instruction. BEST (the Benchmarked Experiential System for Training) can guide experts through the space of domain problems during the knowledge engineering phase of instructional design; it can guide trainees through the space of training objectives during instruction. PRESTO (Pedagogically Relevant Engineering of Scenarios for Training Objectives) builds scenarios on the fly to elicit the knowledge of experts during instructional design, and to satisfy the instructional objectives of trainees.
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Freeman, J., Stacy, W., MacMillan, J., Levchuk, G. (2009). Capturing and Building Expertise in Virtual Worlds. In: Schmorrow, D.D., Estabrooke, I.V., Grootjen, M. (eds) Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience. FAC 2009. Lecture Notes in Computer Science(), vol 5638. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02812-0_18
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DOI: https://doi.org/10.1007/978-3-642-02812-0_18
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