肌肉骨超声波中的数字化转型:混合学习的可接受性
Andreas Michael Weimer1, Rainer Berthold2, Christian Schamberger1
1Clinic for Trauma and Reconstructive Surgery, University Clinic Heidelberg, 69118 Heidelberg, Germany.
Diagnostics (Basel, Switzerland)
|October 28, 2023
概括
用于肌肉骨超声教育的数字增强混合学习模型得到了好评. 与传统的面对面方法相比,通过网络研讨会和电子学习的更数字化的方法显示出更好的结果.
科学领域:
- 医学教育 医学教育
- 诊断成像 诊断成像 诊断成像
- 肌肉骨超声波 肌肉骨超声波
背景情况:
- 超声波诊断对于肌肉骨系统疾病至关重要.
- 由于超声波的动态性,有效的超声波教育至关重要.
- 优化在线和课堂教学之间的平衡需要进一步的研究.
研究的目的:
- 为了比较两个混合学习模型对肌肉骨超声教育的有效性.
- 评估参与者对传统与数字导向混合学习方法的满意度.
主要方法:
- 两种混合学习模式的比较研究:模型A (传统的,面对面的重点) 和模型B (以网络研讨会为数字导向).
- 这两种模式都包含了电子学习,用于课程准备.
- 参与者评估使用了七点的利克特度量表,转换为0-1度量表.
主要成果:
- 模型B的整体评价显著提高 (中位数:0.73比0.69,p=0.05).
- 模型B在课程准备 (p=0.02),网络研讨会质量 (p=0.04) 和课程概念 (p=0.04) 中表现出色.
- 在获得能力,学习材料或导师质量方面没有发现显著差异.
结论:
- 混合学习方法在超声波教学中得到了很好的接受.
- 认证机构应考虑混合模式,将数字方法与实践培训相结合.
- 需要进一步的研究,以更强有力的证据基础来验证这些发现.
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