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用于培训资源的开源工具 - OTTR

Open-source Tools for Training Resources - OTTR.

作者信息

Savonen Candace, Wright Carrie, Hoffman Ava M, Muschelli John, Cox Katherine, Tan Frederick J, Leek Jeffrey T

机构信息

Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Fred Hutchinson Cancer Center, Seattle, WA.

出版信息

J Stat Data Sci Educ. 2023;31(1):57-65. doi: 10.1080/26939169.2022.2118646. Epub 2022 Oct 31.

Abstract

Data science and informatics tools are developing at a blistering rate, but their users often lack the educational background or resources to efficiently apply the methods to their research. Training resources and vignettes that accompany these tools often deprecate because their maintenance is not prioritized by funding, giving teams little time to devote to such endeavors. Our group has developed Open-source Tools for Training Resources (OTTR) to offer greater efficiency and flexibility for creating and maintaining these training resources. OTTR empowers creators to customize their work and allows for a simple workflow to publish using multiple platforms. OTTR allows content creators to publish training material to multiple massive online learner communities using familiar rendering mechanics. OTTR allows the incorporation of pedagogical practices like formative and summative assessments in the form of multiple choice questions and fill in the blank problems that are automatically graded. No local installation of any software is required to begin creating content with OTTR. Thus far, 15 training courses have been created with OTTR repository template. By using the OTTR system, the maintenance workload for updating these courses across platforms has been drastically reduced. For more information about OTTR and how to get started, go to ottrproject.org.

摘要

数据科学和信息学工具正以惊人的速度发展,但其用户往往缺乏将这些方法有效应用于研究的教育背景或资源。这些工具附带的培训资源和示例往往会过时,因为资金没有优先用于维护,导致团队几乎没有时间投入此类工作。我们团队开发了培训资源开源工具(OTTR),旨在为创建和维护这些培训资源提供更高的效率和灵活性。OTTR使创作者能够定制他们的作品,并允许通过简单的工作流程在多个平台上发布。OTTR允许内容创作者使用熟悉的渲染机制将培训材料发布到多个大型在线学习社区。OTTR允许以选择题和自动评分的填空题形式纳入形成性和总结性评估等教学实践。使用OTTR开始创建内容无需在本地安装任何软件。到目前为止,已经使用OTTR存储库模板创建了15门培训课程。通过使用OTTR系统,跨平台更新这些课程的维护工作量大幅减少。有关OTTR以及如何开始使用的更多信息,请访问ottrproject.org。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c7c/10193921/337a518a921f/nihms-1843845-f0001.jpg

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