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    Low-fidelity 3D printed models in veterinary anatomy education (2024)

    Art
    Vortrag
    Autoren
    Schirone, Rebecca (WE 1)
    Schmedding, Maximiliane
    Weigner, Janet (WE 1)
    Corte, Giuliano M. (WE 1)
    Ehlers, Jan P.
    Werner, Martin (WE 1)
    Bahramsoltani, Mahtab (WE 1)
    Forschungsprojekt
    Untersuchung des didaktischen Potenzials gescannter und gedruckter 3D-Modelle in der veterinäranatomischen Lehre
    Kongress
    13. Syposium für Doktorandinnen und Doktoranden - 2024
    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

    Introduction: A key challenge in teaching veterinary anatomy is the limited access to animal cadavers due to time constraints and safety regulations. This study seeks flexible alternatives that can replace native specimens without formaldehyde risks. It explores whether low-fidelity models, with simplified anatomical representations, can deliver learning outcomes similar to those from native specimens.

    Materials and Methods: In this study, 3D prints of the horse's distal limb were used as low-fidelity models. Bones, ligaments, tendons, veins, arteries, and nerves were designed in Blender (https://www.blender.org/) and printed using the Stratasys J55 Prime 3D printer, which supports multi-material printing. 135 second-year veterinary students were divided into two groups for a one-day dissection exercise: the control group used native specimens (n= 67), while the test group used 3D models (n= 68). Each group had ten minutes to study 28 structures using annotated images, followed by a 10-minute knowledge test to identify 20 structures. After the study, all students accessed the learning materials to prepare for the regular exam. Following the exam, 159 students completed a brief evaluation about their study experience.

    Results: The learning outcomes were significantly higher (p=0.031) for the native specimen group with a small to medium effect (d=0.367). The students also rated learning with the native specimens significantly better (p<0.001) with a medium effect (d=0.461). However, the students indicated that the low-fidelity models were very helpful for getting an overview before working with the native specimens.

    Conclusion: Although low-fidelity models did not lead to the same learning outcomes as the native specimens, students found them useful for getting an initial overview of anatomical structures. Therefore, low-fidelity models could be valuable as a preliminary step before studying native specimens, rather than as a replacement.