技术和传统的桥梁:学生的结果与虚拟剖析表与神经解剖学学习中的尸体剖析
Urmila Sinha1, Ruchi Ratnesh1, Ajay K Patel1
1Department of Anatomy, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.
Journal of pharmacy & bioallied sciences
|October 30, 2025
概括
虚拟剖析表 (VDT) 通过改善空间理解来增强神经解剖学教育,在测试后的分数中表现优于尸体剖析 (CDS). 结合VDT和CDS提供了一种混合方法,以获得更好的学习成果.
科学领域:
- 医学教育 医学教育
- 人体解剖学 解剖学 解剖学
- 数字学习数字学习
背景情况:
- 神经解剖学为医学学生带来了重要的空间学习挑战.
- 数字教育的进步导致了虚拟解剖桌 (VDT) 的发展,作为传统尸体解剖 (CDS) 的替代品.
- 这项研究评估了VDT与CDS相比在神经解剖学教育中的有效性.
研究的目的:
- 为了比较虚拟解剖表 (VDT) 和尸体解剖 (CDS) 在改善医学学生对大脑结构的理解方面的有效性.
- 用VDT和CDS方法评估学生的感知和学习经验.
- 为了确定神经解剖学的最佳教学策略.
主要方法:
- 50名医学学生被随机分为两组:一个使用VDT (Anatomage表),另一个使用传统的CDS.
- 两个小组都接受了相同的讲座.
- 评估包括多项选择题和图像识别任务的前后测试,以及利克特尺度反.
主要成果:
- 无论是VDT和CDS组都显示出显著的测试后得分改善.
- VDT组在测试后的得分中表现优越 (P < 0.05).
- VDT用户报告了更好的空间理解 (86%),而CDS用户评价触觉反 (92%);VDT组的反略高 (4.3比4.0利克特尺度).
结论:
- 虚拟剖析表提供了增强的空间可视化和参与神经解剖学学习.
- 虽然VDT和CDS都有效,但结合数字和传统方法的混合方法可能会优化神经解剖学教育.
- VDT (Anatomage表) 在改善复杂解剖学科目的学习成果方面表现有前途.
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