Active learning for an evidence-based veterinary medicine course during COVID-19.

Autor: St-Hilaire S; Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China., Nekouei O; Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China., Parkes RSV; Department of Veterinary Clinical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China., Rosanowski SM; Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.; Grasslands Research Center, Ag Research Limited, Palmerston North, New Zealand.
Jazyk: angličtina
Zdroj: Frontiers in veterinary science [Front Vet Sci] 2022 Jul 22; Vol. 9, pp. 953687. Date of Electronic Publication: 2022 Jul 22 (Print Publication: 2022).
DOI: 10.3389/fvets.2022.953687
Abstrakt: Epidemiology is often a challenging course that is not well appreciated by many students learning veterinary medicine. The curriculum for this topic can sometimes be dry, difficult for students to contextualize, and heavy with statistics and mathematical concepts. We incorporated the concepts of epidemiology that are most important for practicing veterinarians and combined these with evidence-based veterinary medicine principles to create a practical course for second-year undergraduate veterinary students. We share the structure of our course and the different learning components, which also included incorporating graduate student mentors for journal clubs and an assignment that culminated in some students publishing their review findings. Anecdotal responses from students suggest they enjoyed the course and learned skills they felt would be useful in veterinary practice to help them make evidence-based clinical decisions.
(Copyright © 2022 St-Hilaire, Nekouei, Parkes and Rosanowski.)
Databáze: MEDLINE