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将公共动态指标集成到OER平台的框架

A Framework to Integrate Public, Dynamic Metrics Into an OER Platform
课程网址: http://videolectures.net/ocwc2014_cohen_oer_platform/  
主讲教师: Jaclyn Zetta Cohen
开课单位: 密歇根大学
开课时间: 2014-06-23
课程语种: 英语
中文简介:
开放教育资源(OER)的使用指标通常隐藏在身份验证系统后面,或者在存储库级别以静态聚合格式间歇性共享。本文讨论了密歇根大学项目的第一年,共享其OER使用数据动态,公开,以合成它在不同层次内的知识库层次结构,并聚集在一个方法,包括托管在第三方平台的内容。作者以教师作者、多媒体专家、图书管理员和通信专家为目标受众,分析他们的用户研究。接下来,他们将探索一种分层技术设计,该设计允许动态共享指标,直至单个资源的级别。作者得出结论,该框架能够向OER创作者提供可持续的反馈,有助于与OER创作者建立积极的关系,并允许机构在更大范围内共享OER。
课程简介: The usage metrics for open educational resources (OER) are often either hidden behind an authentication system or shared intermittently in static, aggregated format at the repository level. This paper discusses the first year of University of Michigan’s project to share its OER usage data dynamically, publicly, to synthesize it across different levels within the repository hierarchies, and to aggregate in a method inclusive of content hosted on third-party platforms. The authors analyze their user research with a target audience of faculty authors, multimedia specialists, librarians, and communications specialists. Next, they explore a stratified technical design that allows the dynamic sharing of metrics down to the level of individual resources. The authors conclude that this framework enables sustainable feedback to OER creators, helps to build positive relationships with creators of OER, and allows the institution to move toward sharing OER on a larger scale.
关 键 词: 开放教育资源; 动态共享指标; 数据动态
课程来源: 视频讲座网
数据采集: 2022-02-20:zkj
最后编审: 2022-02-20:zkj
阅读次数: 30