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1. Digital Clinical Simulation Suite: Specifications and Architecture for Simulation-Based Pedagogy at Scale

   https://doi.org/10.1145/3491140.3528276  

   Hillaire, Garron ; Waldron, Rick ; Littenberg-Tobias, Joshua ; Thompson, Meredith ; O'Brien, Sara ; Marvez, G. R. ; Reich, Justin ( June 2022 , L@S '22: Proceedings of the Ninth ACM Conference on Learning @ Scale)

   Role-plays of interpersonal interactions are essential to learning across professions, but effective simulations are difficult to create in typical learning management systems. To empower educators and researchers to advance simulation-based pedagogy, we have developed the Digital Clinical Simulation Suite (DCSS, pronounced "decks"), an open-source platform for rehearsing for improvisational interactions. Participants are immersed in vignettes of professional practice through video, images, and text, and they are called upon to improvisationally make difficult decisions through recorded audio and text. Tailored data displays support participant reflection, instructional facilitation, and educational research. DCSS is based on six design principles: 1) Community Adaptation, 2) Masked Technical Complexity, 3) Authenticity of Task, 4) Improvisational Voice, 5) Data Access through "5Rs", and 6) Extensible AI Coaching. These six principles mean that any educator should be able to create a scenario that learners should engage in authentic professional challenges using ordinary computing devices, and learners and educators should have access to data for reflection, facilitation, and development of AI tools for real-time feedback. In this paper, we describe the architecture of DCSS and illustrate its use and efficacy in cases from online courses, colleges of education, and K-12 schools. 

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2. The effects of presentation method and simulation fidelity on psychomotor education in a bimanual metrology training simulation

   https://doi.org/10.1109/3DUI.2017.7893318  

   Bertrand, Jeffrey ; Bhargava, Ayush ; Madathil, Kapil Chalil ; Gramopadhye, Anand ; Babu, Sabarish V. ( January 2017 , 2017 IEEE Symposium on 3D User Interfaces (3DUI))

   null (Ed.)

   In this study, we empirically evaluated the effects of presentation method and simulation fidelity on task performance and psychomotor skills acquisition in an immersive bimanual simulation towards precision metrology education. In a 2 × 2 experiment design, we investigated a large-screen immersive display (LSID) with a head-mounted display (HMD), and the presence versus absence of gravity. Advantages of the HMD include interacting with the simulation in a more natural manner as compared to using a large-screen immersive display due to the similarities between the interactions afforded in the virtual compared to the real-world task. Suspending the laws of physics may have an effect on usability and in turn could affect learning outcomes. Our dependent variables consisted of a pre and post cognition questionnaire, quantitative performance measures, perceived workload and system usefulness, and a psychomotor assessment to measure to what extent transfer of learning took place from the virtual to the real world. Results indicate that the HMD condition was preferable to the immersive display in several metrics while the no-gravity condition resulted in users adopting strategies that were not advantageous for task performance. 

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3. A Micro-simulation Framework for Studying CAVs Behavior and Control Utilizing a Traffic Simulator, Chassis Simulation, and a Shared Roadway Friction Database

   https://doi.org/10.23919/ACC50511.2021.9483221  

   Gao, Liming ; Maddipatla, Srivenkata Satya ; Beal, Craig ; Jerath, Kshitij ; Chen, Cindy ; Sinanaj, Lorina ; Haeri, Hossein ; Brennan, Sean ( May 2021 , 2021 American Control Conference (ACC))

   null (Ed.)
4. Combining role-play with interactive simulation to motivate informed climate action: Evidence from the World Climate simulation

   https://doi.org/10.1371/journal.pone.0202877  

   Rooney-Varga, J. N. ; Sterman, J. D. ; Fracassi, E. ; Franck, T. ; Kapmeier, F. ; Kurker, V. ; Johnston, E. ; Jones, A. P. ; Rath, K. ; Creutzig, Felix ( August 2018 , PLOS ONE)
5. Data-driven Urban Energy Simulation (DUE-S): Integrating machine learning into an urban building energy simulation workflow

   https://doi.org/10.1016/j.egypro.2017.12.614  

   Nutkiewicz, Alex ; Yang, Zheng ; Jain, Rishee K. ( December 2017 , Energy Procedia)