合作邀请:为评估神经科学课程和课程制定一个概念清单
Monica M Gaudier-Diaz1, Mackenzie E Mitchell1, Shveta V Parekh1
1Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
一个新的神经科学概念库 (NCI) 被开发来评估学生在这个跨学科领域的知识. 该工具旨在通过测量核心概念理解来支持神经科学课程的认证.
科学领域:
- 综合生物学,化学,计算机科学,哲学,物理学和心理学的跨学科领域.
- 专注于神经系统及其复杂性的研究.
背景情况:
- 神经科学课程正在扩大,需要认证以确保教育质量.
- 目前,缺乏一个标准化的仪器来测量神经科学内容知识的认证.
研究的目的:
- 解决神经科学教育标准化评估工具的缺口.
- 开发一个基于八个核心神经科学概念的神经科学概念库 (NCI).
主要方法:
- 创建了一个由57个多选题组成的NCI问题草案.
- 该草案是给学生在一个入门神经科学课程,并宣布神经科学专业.
- 计算了项目歧视和alpha可靠性得分,以评估工具质量.
主要成果:
- 在57个项目中,48个项目 (84%) 显示了可接受的项目歧视 (>0.20).
- 四个核心概念显示了可接受的内部一致性 (alpha可靠性>0.70).
- 该NCI草案以入门课程和神经科学专业之间学习收益为例.
结论:
- 开发的NCI为评估神经科学内容知识的可靠工具提供了基础.
- 神经科学的跨学科性质为全面的工具开发带来了挑战.
- 该研究呼吁社区合作,以代地改进NCI工具.
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