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2021 Stemmler Fund Projects & Recipients

This project aims to develop, implement and evaluate new ways to extend the capabilities of ASAG systems using advances in natural language processing and machine learning to rapidly and accurately assess learners’ responses in the patient note.

Director of Research, Jump Simulation

University of Illinois of Chicago SOM

Assistant Professor

University of Illinois at Urbana-Champaign

This project will explore the validity argument and formative value of immersive virtual environment while also demonstrating a process others might use in their own contexts.

Assessment Scientist and Assistant Professor

University of Toronto

Medical and Research Director

Sunnybrook Canadian Simulation Centre

This project will explore the use of machine learning and artificial intelligence as ways to reduce bias in medical education.

Assistant Professor, Child and Adolescent Psychiatry; Associate Director, Bias Reduction in Curricular Content (BRICC)

Seattle Children’s Hospital Foundation