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Evaluating a Photogrammetry-Based Video for Undergraduate Anatomy Education.
Gianotto, Irene; Coutts, Alexander; Pérez-Pachón, Laura; Gröning, Flora.
Afiliación
  • Gianotto I; School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
  • Coutts A; School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
  • Pérez-Pachón L; School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
  • Gröning F; School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK. f.groening@abdn.ac.uk.
Adv Exp Med Biol ; 1421: 63-78, 2023.
Article en En | MEDLINE | ID: mdl-37524984
Modern anatomy education has benefitted from the development of a wide range of digital 3D resources in the past decades, but the impact of the COVID-19 pandemic has sparked an additional demand for high-quality online learning resources. Photogrammetry provides a low-cost technique for departments to create their own photo-realistic 3D models of cadaveric specimens. However, to ensure accessibility, the design of the resulting learning resources should be carefully considered. We aimed to address this by creating a video based on a photogrammetry model of a cadaveric human lung. Students evaluated three different versions of this video in a Likert-type online survey. Most responding students found this type of video useful for their learning and helpful for the identification of anatomical structures in real cadaveric specimens. Respondents also showed a preference for specific design features such as a short video length, white text on black background, and the presence of captions. The positive student feedback is promising for the future development of photogrammetry-based videos for anatomy education and this study has provided pilot data to improve the accessibility of such videos.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Adv Exp Med Biol Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Adv Exp Med Biol Año: 2023 Tipo del documento: Article