Machine Scoring of Medical Students' Written Clinical Reasoning: Initial Validity Evidence.

Journal: Academic medicine : journal of the Association of American Medical Colleges
Published Date:

Abstract

PURPOSE: Developing medical students' clinical reasoning requires a structured longitudinal curriculum with frequent targeted assessment and feedback. Performance-based assessments, which have the strongest validity evidence, are currently not feasible for this purpose because they are time-intensive to score. This study explored the potential of using machine learning technologies to score one such assessment-the diagnostic justification essay.

Authors

  • Anna T Cianciolo
    A.T. Cianciolo is associate professor of medical education, Southern Illinois University School of Medicine, Springfield, Illinois; ORCID: https://orcid.org/0000-0001-5948-9304 .
  • Noelle LaVoie
    Parallel Consulting, Petaluma, CA, USA.
  • James Parker
    Parallel Consulting, Petaluma, CA, USA.