Educational Simulation
Timothy Garrand · 2023
Cited by 6
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About 10,000 papers for “educational simulation”
Timothy Garrand · 2023
Cited by 6
Newton Lee, Newton Lee · Encyclopedia of Computer Graphics and Games · 2024
Cited by 0
Paul A. Twelker, Ken Layden · 1972
Cited by 0
Debra Nestel, Sean Stevens · Surgery · 2025
Surgical simulation is increasingly embedded in training programs. Diverse simulation modalities offer opportunities to support learning in wide-ranging competencies. Examples of approaches to classifying research have been applied to surgical simulation educational research. The article outlines these classifications and offers simulation examples. The surgical simulation community have published research priorities with most articles reflecting strong positivist notions of research. We believe this is a limited view and argue for research that seeks to deepen understanding of how simulation supports learning and can prepare trainees for the complexity of surgical practice. We acknowledge the role of professional communities in advancing simulation research and look to a future of interdisciplinary research. We propose emphasis on synthesizing the current body of knowledge, consulting with real patients for educational focus, fostering interprofessional simulation, clarifying terms used in simulation practice and ensuring high-quality simulation practice aligned with published frameworks.
Cited by 2Open access
Sheila W. Chauvin · Oxford University Press eBooks · 2012
This chapter begins with several key definitions and synthesizes relevant educational theories and principles for using simulation in radiology education. It also provides a widely used instructional design framework that can be used for developing simulation-based education—the Assess, Design, Develop, Implement, Evaluate (ADDIE) approach. A widely adopted set of criteria pertaining to educational scholarship is described and offers yet another framework for guiding and assuring high-quality training and educational design and implementation. The assessment and evaluation of learner achievement and instructional eff ectiveness are key ingredients to achieving and sustaining quality education and must be considered at the onset of instructional design, not after implementation has occurred.
Cited by 2
Susan J. Pasquale · Best Practice & Research Clinical Anaesthesiology · 2015
Cited by 13
Grit, MBM Marco · TU/e Research Portal (Eindhoven University of Technology) · 1997
Cited by 0
Warin, Thierry · Figshare · 2020
The tools of data science to better understand the covid-19 epidemic.
Cited by 0Open access
Zachary Smith · 2012
This paper looks at some trends in educational software process simulations. SimSE is covered specifically, and other trends in the field are analyzed. Conclusions and observations are then drawn on the state of the field.
Cited by 1
Ying C. Chuang · 1971
Cited by 1
Liviu Constantin Stan · Procedia - Social and Behavioral Sciences · 2014
New technologies used today for the purpose training in maritime academic field are various, as simulators, dedicated computerized programs and all types of virtual learning. The paper reveals simulator training process that Constanta Maritime University introduced in it is education system, with good performances on students competencies and abilities. The focus is on the presentation of the course developed by Electromechanical Faculty, through this process contributing to the skills development and also testing of the students, future marine officers.
Cited by 4Open access
Thomas R. Welch · The Journal of Pediatrics · 2015
Cited by 0Open access
Warin, Thierry · Figshare · 2020
The tools of data science to better understand the covid-19 epidemic.
Cited by 0Open access
Beer, de, NAM Nicole, Meurs, van, WL, Grit, MBM Marco et al. · Data Archiving and Networked Services (DANS) · 2001
We describe a model for simulating a spontaneous electroencephalogram (EEG) and for simulating the effects of anesthesia on the EEG, to allow anesthesiologists and EEG technicians to learn and practice intraoperative EEG monitoring. For this purpose, we developed a linear model to manipulate the amplitude of the activity in each of the traditional EEG frequency bands. Burst suppression patterns are simulated by manipulating an overall gain. To demonstrate the model feasibility, model parameters for thiopental and isoflurane were estimated guided by published data on the EEG effects of these anesthetic drugs. Using these estimates, EEG time signals were simulated for isoflurane at various partial pressures, and for bolus intravenous doses of thiopental. Comparison with actual recorded EEG signals showed that the changes produced by isoflurane and thiopental in the simulated signals are very similar to the changes in the actual signals, which was confirmed by two clinicians with experience and routine practice in intraoperative EEG monitoring.
Cited by 0
A. H. Glattfelder, Xiaobing Qiu, Walter Schaufelberger et al. · IFAC Proceedings Volumes · 1994
Cited by 0
Nichole L. Morris, Curtis M. Craig, Peter A. Easterlund et al. · University of Minnesota Digital Conservancy (University of Minnesota) · 2019
The HumanFIRST Laboratory was recently awarded a grant through the University of Minnesota Office of the Vice President for Research tomatch funds to completely overhaul the laboratory’s driving simulators. This upgrade, which includes large touchscreen displays in theimmersive simulators’ cockpit, will allow the laboratory to conduct innovative research in the fields of connected vehicles, in-vehicle technologies, and automated vehicles. In addition, the visibility of the laboratory’s increased capabilities is expected to boost an alreadyfrequent demand for educational and training partnerships (particularly around high-risk behaviors, such as distraction and speeding) fromboth government and private groups. In addition to the value in education and dissemination of knowledge regarding roadway safety tothe greater community through demonstrations using the simulator, these partnerships often foster future opportunities for research partnerships and funding. Legacy driving scenarios will be updated to new simulator specifications. The creation of this new content is expected to allow new funding opportunities and will facilitate the research team to share its knowledge through educational and training opportunities within the regional community. This research leveraged the investment in the new simulator and propel the laboratory’s capabilities through the creation of three distinct simulated demonstrations focused on controlled hand-offs with automated vehicles,distracted driving via non-driving-related in-vehicle technologies, and speeding in pedestrian populated areas. These topics are keyresearch focus areas for the Roadway Safety Institute and are core focus areas for the HumanFIRST Laboratory and its funding stakeholders.
Cited by 1Open access
Wen-Jenq Leu, Martha Evens, David Trace et al. · 2002
Describes the patient simulation program that we created for the MEDASPC system. The program provides the patient file with different features that were randomly chosen by the computer or allows the user to set the features individually. We can use the program to create a multi-encounter patient file that corresponds to the way patients and physicians often interact. For the first encounter, we choose the setting of and the physical examination features. Then, for the second encounter, we set laboratory and radiology tests results, etc. By using simulated patient files, medical students can learn and make mistakes without taking risks with real patients.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cited by 0
Beer, NAM Nicole de, Meurs, WL van, Grit, MBM Marco et al. · TU/e Research Portal (Eindhoven University of Technology) · 2001
We describe a model for simulating a spontaneous electroencephalogram (EEG) and for simulating the effects of anesthesia on the EEG, to allow anesthesiologists and EEG technicians to learn and practice intraoperative EEG monitoring. For this purpose, we developed a linear model to manipulate the amplitude of the activity in each of the traditional EEG frequency bands. Burst suppression patterns are simulated by manipulating an overall gain. To demonstrate the model feasibility, model parameters for thiopental and isoflurane were estimated guided by published data on the EEG effects of these anesthetic drugs. Using these estimates, EEG time signals were simulated for isoflurane at various partial pressures, and for bolus intravenous doses of thiopental. Comparison with actual recorded EEG signals showed that the changes produced by isoflurane and thiopental in the simulated signals are very similar to the changes in the actual signals, which was confirmed by two clinicians with experience and routine practice in intraoperative EEG monitoring.
Cited by 0
CUHK Digital Repository (Chinese University of Hong Kong)
Cited by 0
Robert Keith Chandler · Arizona State University Library Digital Repository (Arizona State University) · 2018
abstract: Simulation games are widely used in engineering education, especially for industrial engineering and operations management. A well-made simulation game aids in achieving learning objectives for students and minimal additional teaching by an instructor. Many simulation games exist for engineering education, but newer technologies now exist that improve the overall experience of developing and using these games. Although current solutions teach concepts adequately, poorly-maintained platforms distract from the key learning objectives, detracting from the value of the activities. A backend framework was created to facilitate an educational, competitive, participatory simulation of a manufacturing system that is intended to be easy to maintain, deploy, and expand.
Cited by 0