将医学数据库内容自动转为可导入主流平台的学习包
Generation of Standardized E-Learning Contents from Digital Medical Collections
- 用Clavy工具提取医学库内容并拆解为学习单元
- 成功生成适用于IMS标准的放射科病例学习包
- 适合教育技术开发者和医学课程设计者使用
本文提出一种将现有在线医学资源转化为可集成到主流电子学习平台的标准学习包的方法。核心是名为Clavy的工具，能从医学数据库中检索内容，将其转化为有意义的学习单元，并导出为标准化学习包。通过在知名放射科病例数据库MedPix上应用该方法，验证了其可行性，成功生成了符合IMS标准的内容包。
原文摘要 · Abstract (English)
In this paper, we describe an approach to transforming the huge amount of medical knowledge available in existing online medical collections into standardized learning packages ready to be integrated into the most popular e-learning platforms. The core of our approach is a tool called Clavy, which makes it possible to retrieve pieces of content in medical collections, to transform this content into meaningful learning units, and to export it in the form of standardized learning packages. In addition to describing the approach, we demonstrate its feasibility by applying it to the generation of IMS content packages from MedPix, a popular online database of medical cases in the domain of radiology.
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