‘simulationlearning’
Driving simulation for typical and neurotypical populations
Jul. 16, 2024—In this project, we are developing driving simulation scenarios that can be used to help train new drivers with Autism. These scenarios create a range of settings where consideration of other drivers beliefs and actions are increasingly necessary. We are testing the degree to which these scenarios are associated with particular difficulty for a range...
MOMENTS: Using rich analytics and AI to support reflection and learning during simulation training.
Jul. 16, 2024—One of the best ways of helping students learn is to have them experience realistic simulations of the situations they will confront in practice. Simulation learning is particularly important in medical settings where students can practice skills without risking patient safety. However, one of the consistent challenges in simulation learning is to ensure that students...
SimER: A Gen-AI enabled System for 9-1-1 Call-takers Training in Emergency Response
Jun. 21, 2024—SimER is an Generative AI-driven simulation environment to assist call-taker training under emergency response scenarios. SimER tailors the most up-to-date LLMs as its backend agents with a sophisticatedly designed prompt generation algorithm to generate realistic, valid, and equitable calls. SimER debriefs the past simulation and offers advice to the user for future improvements. SimER also...