视觉空间能力和学生的学习方法作为学术表现的预测者,在人体解剖学的书面和实验室评估中
Catherine Wang1, Sean C McWatt2,3
1Department of Anatomy and Cell Biology, Faculty of Medicine and Health Sciences, McGill University, Montréal, Québec, Canada.
Anatomical sciences education
|July 24, 2023
概括
视觉空间能力和深度学习方法都能预测人体解剖课程的表现. 教师应该培养这些技能,以提高学生在解剖学教育中的成功.
科学领域:
- 医学教育 医学教育
- 解剖学教育 解剖学教育
背景情况:
- 人体解剖学课程面临挑战,需要对新的教学创新进行评估.
- 传统的分级可能无法捕捉到细微的学习成果.
- 视觉空间能力和学习方法是学生理解的关键预测因素.
研究的目的:
- 评估和比较视觉空间能力和学习方法对解剖学评估的预测能力.
- 确定这些指标在书面和实验室环境中的相对重要性.
主要方法:
- 用多个线性回归模型来分析人体解剖学学生的数据.
- 评估了视觉空间能力和深度/表面学习方法.
- 测量了基于书面和实验室评估的表现.
主要成果:
- 视觉空间能力和深度学习方法都独立预测了最终和实验室成绩.
- 深度学习方法显著预测了书面成绩.
- 视觉空间能力和学习方法之间没有发现显著的关系.
结论:
- 视觉空间能力和深度学习方法对于人类解剖学的成功至关重要.
- 在评估教学创新时,教育工作者应该考虑这两种指标.
- 发展视觉空间技能和促进深度学习对于解剖学学生至关重要.
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