Capturing and Building Expertise in Virtual Worlds
FOUNDATIONS OF AUGMENTED COGNITION, PROCEEDINGS(2009)
摘要
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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关键词
model-driven simulation,pedagogically relevant engineering,knowledge engineering phase,training objectives,building expertise,training objective,computational model,virtual worlds,instructional objective,domain problem,benchmarked experiential system,instructional design,satisfiability,computer model,knowledge engineering
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