Providing feedback during training can help trainees address errors and deficiencies to improve performance. One method for presenting feedback is to implement adaptive training (AT) algorithms that assess trainees...
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ISBN:
(纸本)9783031347344;9783031347351
Providing feedback during training can help trainees address errors and deficiencies to improve performance. One method for presenting feedback is to implement adaptive training (AT) algorithms that assess trainees' performance and present feedback tailored to their current needs. Despite the precision with which adaptive feedback addresses trainees' needs, this algorithmic approach does not offer trainees agency during training. Providing trainees the opportunity to select their own instructional interventions may facilitate performance gains through increased motivation and improved self-regulatory strategies. Unfortunately, trainees inexperienced in a domain may struggle to choose appropriate feedback as a result of their naivete. We conducted the present research to examine performance differences between trainees presented algorithm-controlled feedback and those who chose their instruction during an electronic warfare (EW) task. Based on the novel nature of theEWtask, we hypothesized trainees receiving algorithm-controlled feedbackwould display improved performance at immediate (H1) and delayed retention (H2) compared to trainees who choose their feedback. Similarly, we hypothesized a differential effect across groups such that trainees who score higher at pretest would score higher at immediate posttest, but that this effect would be more pronounced for trainees' choosing their instructional interventions (H3). Our results revealed partial support for H1 and full support for H2 and H3. These results may reflect trainees' difficulty choosing appropriate feedback in a novel, complex task, as well as increased cognitive load associated with that choice.
The performance, reliability, cost, size and energy usage of computing systems can be improved by one or more orders of magnitude by the systematic use of modern control and optimization methods. Computing systems rel...
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The feasibility of designing and modeling a multistage depressed collector (MDC) by using 3D conformal finite-difference time-domain (CFDTD) particle-in-cell (PIC) simulations as implemented in 3D PIC code, VORPAL has...
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The feasibility of designing and modeling a multistage depressed collector (MDC) by using 3D conformal finite-difference time-domain (CFDTD) particle-in-cell (PIC) simulations as implemented in 3D PIC code, VORPAL has been studied. A simple circuit model employing feedback mechanisms has been implemented to provide stable time-dependent voltages for each stage of the depressed collector, and an arbitrary space-time dependent spent-beam distribution is given in our time-domain simulations. We demonstrate the design of a five-stage depressed collector recovering a triangular-like spent-beam distribution imported from a large signal simulation, achieving an energy recovery efficiency of 75%. The MDC after optimization can be integrated into the limited space of an S-band traveling wave tube for a compact microwave power module (MPM).
We study numerically the elimination of a spiral wave in cardiac tissue by application of multiple shocks of external current. To account for the effect of shocks we apply a recently developed theory for the interacti...
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We study numerically the elimination of a spiral wave in cardiac tissue by application of multiple shocks of external current. To account for the effect of shocks we apply a recently developed theory for the interaction of the external current with cardiac tissue. We compare two possible feedback algorithms for timing of the shocks: a “local” feedback algorithm [1] (using an external electrode placed directly on the tissue) and a “global” feedback algorithm [2] (using the electrocardiogram). Our main results are: application of the external current causes a parametric resonant drift similar to that reported in previous model computations; the ratio of the threshold of elimination of the spiral wave by multiple shocks to the threshold of conventional single shock defibrillation in our model for cardiac tissue is about 0.5, while earlier, less realistic models predicted the value about 0.2; we show that an important factor for successful defibrillation is the location of the feedback electrode and the best results are achieved if the feedback electrode or the ECG lead is located at the boundary (or edge) of the cardiac tissue; the “local” and the “global” feedback algorithms show similar efficiency.
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