数字证据:在技术和评估的交叉点重新审视假设
Andrew E Krumm1, Saad Chahine2, Abigail M Schuh3
1Learning Health Sciences, Surgery, and Information, Medical School and School of Information, University of Michigan, Ann Arbor, Michigan, United States.
Perspectives on medical education
|November 25, 2024
概括
通过使用四个关键数据术语集,检查了健康专业教育中的数字证据. 这些术语有助于评估学习者评估,并为教育工作者和开发人员改进基于技术的评估系统.
科学领域:
- 健康 职业 教育 教育 专业
- 医疗信息学 医疗信息学
- 教育技术的教育技术.
背景情况:
- 技术在医疗保健和健康专业教育中的整合正在迅速增加.
- 对评估索赔的数字证据的使用需要仔细检查.
- 了解如何使用数据对于有效评估学习者能力至关重要.
研究的目的:
- 探索数字证据在卫生专业教育评估中的利用.
- 引入一个由四个术语集组成的框架,用于在评估中分析数字数据.
- 帮助开发人员和用户理解基于技术的评估系统.
主要方法:
- 描述四组术语:初级/二级数据,结构化/非结构化数据,开发/使用和确定性/生成性.
- 使用多个例子来说明这些术语的应用.
- 分析这些术语如何帮助评估学习者的知识和技能.
主要成果:
- 这四个术语集为评估中检查数字数据提供了一个结构化的方法.
- 这些术语有助于区分数据类型及其在评估开发和使用中的应用.
- 举例说明了框架对各种利益相关者的实际实用性.
结论:
- 拟议的四组术语为理解教育评估中的数字证据提供了有价值的框架.
- 这一框架可以加强基于技术的评估系统的开发和有效使用.
- 更清晰的数据术语改善了在医疗保健环境中对学习者表现的评估.
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