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Download full textRobson, Robby; Ray, Fritz; Hernandez, Mike; Blake-Plock, Shelly; Casey, Cliff; Hoyt, Will; Owens, Kevin; Hoffman, Michael; Goldberg, Benjamin – International Educational Data Mining Society, 2022
The context for this paper is the "Synthetic Training Environment Experiential Learning -- Readiness" (STEEL-R) project [1], which aims to estimate individual and team competence using data collected from synthetic, semi-synthetic, and live scenario-based training exercises. In STEEL-R, the "Generalized Intelligent Framework for…
Descriptors: Experiential Learning, Mathematical Models, Vignettes, Decision Making
