As of August 2020, AMEE are using a new contact database. If you are logging in for the first time, please note that your login details have been refreshed and your email address is now your username. Please select 'Forgotten Password' the first time you try and login
Conferences > AMEE 2020: The Virtual Conference > Programme > Best Practice

Maintaining Adaptive Expertise in the time of the Algorithm

BP4 - Maintaining Adaptive Expertise in the time of the Algorithm: Lessons from Aviation

Monday 7 September
Time:  1145-1245 and 1800-1900
Stream: 2
Theme: Learning from Failure


  • Martin Pusic, Harvard Medical School, USA
  • Warren Feschuk, Transport Canada
  • Maria Mylopoulos, University of Toronto, Canada
  • John Andrews, American Medical Association, USA

The need to develop and maintain adaptive expertise for low frequency, high impact situations is shared by both aviation and the health professions.  The recent failures of the 767Max aircraft may hold a new lesson in that one hypothesis as to why these two planes crashed is due to a failure of simulation education of the pilots.  Did they have sufficient “airmanship” to overcome difficulties that arise when an airplane that normally can fly largely on algorithm requires in-the-moment situational judgement from humans? Using research from the adaptive expertise literature, we describe best practices for instructional design that takes this tension into account. 

Twitter_001 facebook_001 Google_Plus_001 Linkedin_001 YouTube_001