Department of Pathology and Molecular Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Anat Sci Educ. 2020 May;13(3):401-412. doi: 10.1002/ase.1928. Epub 2019 Nov 20.
Anatomy education has been revolutionized through digital media, resulting in major advances in realism, portability, scalability, and user satisfaction. However, while such approaches may well be more portable, realistic, or satisfying than traditional photographic presentations, it is less clear that they have any superiority in terms of student learning. In this study, it was hypothesized that virtual and mixed reality presentations of pelvic anatomy will have an advantage over two-dimensional (2D) presentations and perform approximately equal to physical models and that this advantage over 2D presentations will be reduced when stereopsis is decreased by covering the non-dominant eye. Groups of 20 undergraduate students learned pelvic anatomy under seven conditions: physical model with and without stereo vision, mixed reality with and without stereo vision, virtual reality with and without stereo vision, and key views on a computer monitor. All were tested with a cadaveric pelvis and a 15-item, short-answer recognition test. Compared to the key views, the physical model had a 70% increase in accuracy in structure identification; the virtual reality a 25% increase, and the mixed reality a non-significant 2.5% change. Blocking stereopsis reduced performance on the physical model by 15%, on virtual reality by 60%, but by only 2.5% on the mixed reality technology. The data show that virtual and mixed reality technologies tested are inferior to physical models and that true stereopsis is critical in learning anatomy.
通过数字媒体,解剖学教育发生了革命性的变化,在真实性、便携性、可扩展性和用户满意度方面都取得了重大进展。然而,虽然这些方法在便携性、真实性或满足感方面可能优于传统的摄影演示,但在学生学习方面是否具有优势还不太清楚。在这项研究中,我们假设骨盆解剖的虚拟和混合现实演示将优于二维(2D)演示,并且与物理模型表现相当,而当非主导眼的立体视被遮挡时,与 2D 演示相比,这种优势将降低。20 名本科学生被分为 7 组,在七种条件下学习骨盆解剖:有和没有立体视觉的物理模型、有和没有立体视觉的混合现实、有和没有立体视觉的虚拟现实,以及计算机显示器上的关键视图。所有学生都使用一具尸体骨盆和一个包含 15 个简答题的识别测试进行了测试。与关键视图相比,物理模型在结构识别方面的准确率提高了 70%;虚拟现实提高了 25%,混合现实则没有显著提高,仅提高了 2.5%。阻断立体视会使物理模型的表现降低 15%,虚拟现实的表现降低 60%,而混合现实技术的表现仅降低 2.5%。数据表明,所测试的虚拟现实和混合现实技术不如物理模型,真正的立体视在学习解剖学中至关重要。