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Factors predicting identity as educators and openness to improve: an exploratory study.

Abigail Grover SnookÁsta B SchramBrett D JonesThorarinn Sveinsson
Published in: Medical education (2019)
Our data supported the hypothesised model, but the sessional and tenure-track faculty models differed in strength and focus. We explore reasons for these differences based on the working environment of each teacher type. We suggest that the two models partially explain the transformation from 'a clinician who teaches' to a medical educator. Finally, we make suggestions for how identity as a medical educator and openness to improve may be encouraged in both types of teachers.
Keyphrases
  • healthcare
  • electronic health record
  • big data
  • machine learning
  • medical students
  • medical education
  • data analysis