| Sumario: | Emulating adaptive aspects of human tutors in simulation-based training (SBT) should be an effective training approach, as one-to-one tutoring generally leads to better outcomes. This research represents part of a larger effort investigating the effectiveness of automating feedback in search-and-rescue SBT using four strategies: (1) adaptive bottom-up, (2) adaptive top-down, (3) nonadaptive detailed, and (4) nonadaptive general. Results indicated: (1) performance for adaptive strategies did not differ at the end of training, but bottom-up feedback achieved higher performance levels faster; (2) performance for the bottom-up and nonadaptive detailed groups did not differ significantly. Findings have implications for feedback implementation in SBT.
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