Simulation Research Refined Atelier

SIM-one COURSE
Simulation Research Refined Atelier
Upcoming Course:
Tue, May 14 to Fri, May 17
Hart House - University of Toronto
7 Hart House Circle
Toronto, Ontario
Course Fee:
$2,500.00
Class Size Limited to:
30

Atelier Wilson Centre and SIM-one are proud to present their continuing program in Simulation-Based Research Refined, a four-day intensive program in advanced simulation-based education research.

Participants will have the opportunity to refine and enhance their skills in this dynamic and interactive program led by world-respected researchers in simulation-based education research. The focus will be on guiding participants through some of the most relevant theories of learning, performance assessments and performance-affecting factors. Participants will develop rigorous methodologies for the effective study of simulation-based learning, assessments and performance. They will be challenged to develop research projects that advance our fundamental understanding of simulation-based learning and assessments, as well as regarding the use of simulation modalities for the study of performance-affecting factors. Emphasis will be placed on small group work with the ultimate goal of enabling the participants to be aware of what it takes to be proficient researchers, collaborators and decision makers in simulation-based education and evaluation.

The Faculty

  • Vicki LeBlanc
  • Adam Dubrowski
  • Brian Hodges
  • Nancy McNaughton
  • Kathryn Parker
  • Walter Tavares

The Program

  • Overview of simulation in health professions education
  • Realism and fidelity in simulation
  • Theories of learning, feedback and assessment
  • Generating good research questions
  • Research designs
  • Outcome measures and analyses
  • Dissemination
  • Fostering research locally

Application and Registration Process

Apply for this program. This program requires previous experience in research and/or simulation. You will need to submit the following: a current Curriculum Vitae; a cover letter describing your experience in research and/or simulation, and your reason for applying; and a sample of your work that best exemplifies your research and/or simulation experience.