论文标题

用于培训资源的开源工具-OTTR

Open-source Tools for Training Resources -- OTTR

论文作者

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

论文摘要

数据科学和信息学工具正在以惊人的速度开发,但是他们的用户通常缺乏教育背景或资源来有效地将方法应用于其研究中。培训资源通常会贬低,因为他们的维护没有通过资金来优先考虑,这给了团队几乎没有时间投入这种努力。我们的小组开发了用于培训资源的开源工具(OTTR),以提供更高的效率和灵活性来创建和维护在线课程内容。 OTTR赋予创建者自定义其工作,并允许使用多个平台发布简单的工作流程。 OTTR允许内容创建者使用熟悉的渲染机制向多个大型在线学习者社区发布材料。 OTTR允许以多项选择问题的形式纳入教学实践,例如形成性和总结性评估,并填补自动分级的空白问题。不需要任何软件的本地安装才能开始使用OTTR创建内容。到目前为止,使用OTTR存储库模板创建了15个课程。通过使用OTTR系统,可以大大减少用于更新跨平台这些课程的维护工作量。

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 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 online course content. OTTR empowers creators to customize their work and allows for a simple workflow to publish using multiple platforms. OTTR allows content creators to publish 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 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.

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