Publikationsdatenbank

Didactics training courses:
needs and expectations of veterinarians in extramural practical training (2024)

Art

Poster

Autoren

Kurda, Tabita (WE 1)

Bahramsoltani, Mahtab (WE 1)

Nessler, Stefan H.

Kleinsorgen, Christin

Kongress

13. Syposium für Doktorandinnen und Doktoranden - 2024

Veterinarium Progressum FU Berlin, Campus Düppel, 10.10.2024

Quelle

Sprache

Englisch

Kontakt

Institut für Veterinär-Anatomie

Koserstr. 20
14195 Berlin
+49 30 838 75784
anatomie@vetmed.fu-berlin.de

Abstract / Zusammenfassung

Didactics training courses: Needs and expectations of veterinarians in extramural practical training

Introduction: The education of veterinarians does not occur exclusively at universities, but also includes mandatory extramural practical training in various veterinary facilities such as farms, veterinary practices/clinics, veterinary offices, slaughterhouses, and similar institutions. While veterinarians working within universities typically receive didactic training through university programs, there are currently only a few such programs for those who supervise students during their off-campus internships. The aim of this project is to develop a training program for didactic qualification of practicing veterinarians.

Materials and Methods: To tailor the program to their specific needs, structured interviews were conducted with ten veterinarians from the fields of equine practice, cattle practice, small animal practice, and veterinary public health, who supervise veterinary students during their extramural practical training. The interviews focused on their personal learning biography, their role as teachers, and their expectations and needs regarding further training. The transcription and qualitative content analysis were conducted using the software MAXQDA software. This approach aims to inductively identify key elements for the didactic framework of the training program.

Results: First results show differences in the personal learning biographies in school compared to university.

Conclusion: To obtain further results, the data must be subjected to a more in-depth analysis and established within a causal framework.