Gianotto Irene, Coutts Alexander, Pérez-Pachón Laura, Gröning Flora
School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Adv Exp Med Biol. 2023;1421:63-78. doi: 10.1007/978-3-031-30379-1_4.
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.
在过去几十年里,现代解剖学教育受益于各种数字3D资源的发展,但新冠疫情的影响引发了对高质量在线学习资源的额外需求。摄影测量为各部门提供了一种低成本技术,用于创建自己的尸体标本逼真3D模型。然而,为确保可访问性,应仔细考虑由此产生的学习资源的设计。我们旨在通过创建一个基于尸体人肺摄影测量模型的视频来解决这一问题。学生们在一项李克特式在线调查中评估了该视频的三个不同版本。大多数回复的学生发现这类视频对他们的学习有用,有助于识别真实尸体标本中的解剖结构。受访者还表现出对特定设计特征的偏好,如视频长度短、黑底白字以及有字幕。学生的积极反馈为基于摄影测量的解剖学教育视频的未来发展带来了希望,本研究提供了试点数据以提高此类视频的可访问性。