A VR Simulator is a computer-based, simulated environment in which users interact with specialized software providing visual, auditory and tactile feedback. Approaches in simulation such as “Mastery learning” or “Deliberate practice” have been advocated for their effectiveness; at the core of both, is the end performance.
VR simulation provides unrestricted availability for trainees to repeat the experience at their leisure, potentially reaching a predetermined standard, thus allowing a mastery-training model.When used to train learners who are motivated by the high degree of relevance that the task has to the field, the VR simulator allows deliberate practice, where immediate feedback is available on the performance from the automatic score and the overall task remains the same. During this workshop, facilitators discuss both models of “Mastery” and “Deliberate Practice” and ask participants to apply these features to create a VR simulator-training model that incorporates both. VR simulators are advocated for self-guided learning; however, recent reviews of self-regulated learning in simulation-based training show that few studies have designed self-regulated training to explicitly support trainee’s capacity to regulate their learning. During this workshop, facilitators encourage participants to shift from thinking that self-regulated learning is learning alone to thinking of self- regulated learning as a shared responsibility between trainee and instructional design (designed support for future learning).
Learning curves represent the rate at which trainees acquire a skill. VR simulator features of automatically scoring the performance at the end of each trial makes it possible to plot an individual learning curve. During this workshop, facilitators ask participants to analyze individual learning curves and how to use that information to support and motivate individual trainees.
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