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一个用于向职业治疗专业学生教授测角术的虚拟现实增强训练项目的可用性。

The usability of a virtual reality augmented training program to teach goniometry to occupational therapy students.

作者信息

Baker Nancy A, O'Shanassy Jane, Unsworth Carolyn A

机构信息

Department of Occupational Therapy, Tufts University, Boston, USA.

Department of Occupational Therapy, Collaborative Learning and Innovation Complex, Tufts University, 574 Boston Avenue, Medford, MA, 02155, USA.

出版信息

BMC Med Educ. 2025 Jan 2;25(1):11. doi: 10.1186/s12909-024-06384-0.

DOI:10.1186/s12909-024-06384-0
PMID:39748332
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11697938/
Abstract

BACKGROUND

Training occupational therapy students in manual skills such as goniometry typically requires intensive one on one student teacher interactions and repetitive practice to ensure competency. There is evidence that immersive virtual reality (IVR) supported embodied learning can improve confidence and performance of skills. Embodied learning refers to learner's experience of viewing a simulated body and its properties as if they were the learner's own biological body. The aim of this proof-of-concept study was to develop and examine the usability and establish preliminary efficacy of an Embodied Goniometric Occupational Therapy Training Program (EGOTTP) to teach occupational therapy students wrist goniometry.

METHODS

Following the generation of written scripts, we used a 360-degree camera to film and create the program, with 3- levels of detailed education for six wrist goniometry measures, flexion-extension, radial-ulnar deviation and pronation-supination. Five students rated their experience using EGOTTP on measures of usability and efficacy.

RESULTS

The EGOTTP was developed over a 1-month period, and the participants reported good to high levels of embodiment and engagement, and their ratings suggested that the EGOTTP was easy to use with the support of an educator.

CONCLUSION

IVR training programs such as this one hold promise for teaching manual skill acquisition such as goniometry. As IVR technologies become more affordable and widespread, this approach could complement other strategies used to teach goniometry skills to students.

摘要

背景

培训职业治疗专业学生掌握诸如关节角度测量等手工技能通常需要教师与学生进行密集的一对一互动以及反复练习,以确保其能力。有证据表明,沉浸式虚拟现实(IVR)支持的具身学习可以提高技能的信心和表现。具身学习是指学习者将模拟身体及其属性视为自己的生物身体来进行体验。本概念验证研究的目的是开发并检验一种具身关节角度测量职业治疗培训计划(EGOTTP)的可用性,并确定其在教授职业治疗专业学生手腕关节角度测量方面的初步效果。

方法

在生成书面脚本后,我们使用360度摄像头拍摄并创建该计划,针对六种手腕关节角度测量方法(屈伸、桡尺偏斜和旋前-旋后)进行了三个详细程度等级的教学。五名学生对使用EGOTTP的体验在可用性和效果方面进行了评分。

结果

EGOTTP在1个月内开发完成,参与者报告了较高水平的具身感和参与度,他们的评分表明,在教育工作者的支持下,EGOTTP易于使用。

结论

像这样的IVR培训计划在教授诸如关节角度测量等手工技能获取方面具有前景。随着IVR技术变得更加经济实惠且广泛应用,这种方法可以补充用于向学生教授关节角度测量技能的其他策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/1633910f32d1/12909_2024_6384_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/8a4b11909de0/12909_2024_6384_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/d55e4ba634c5/12909_2024_6384_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/31f821ce598f/12909_2024_6384_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/995d1f749cfe/12909_2024_6384_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/cb6cb1c301c0/12909_2024_6384_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/405954bc51f2/12909_2024_6384_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/1633910f32d1/12909_2024_6384_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/8a4b11909de0/12909_2024_6384_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/d55e4ba634c5/12909_2024_6384_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/31f821ce598f/12909_2024_6384_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/995d1f749cfe/12909_2024_6384_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/cb6cb1c301c0/12909_2024_6384_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/405954bc51f2/12909_2024_6384_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bc5/11697938/1633910f32d1/12909_2024_6384_Fig7_HTML.jpg

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