分布式受人尊敬的背书人评论:mooc参与者评估的新方法

J. Kay, Tyler J. Nolan, Thomas M. Grello
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引用次数: 1

摘要

开发大规模在线开放课程(MOOC)最具挑战性的一个方面是设计一种准确的方法来有效评估参与者的知识和技能。分布式受尊敬的推荐人评审(DEER)方法是为那些传统评估方法不适合的mooc而开发的一种替代方法。在DEER中,课程项目由“尊敬的推荐人”亲自认证,推荐人通常比学生级别高,但不一定是课程内容方面的专家。DEER不仅提供了一种证明课程目标已经实现的方法,它还为MOOC参与者提供了与当地其他人分享所学信息的机会。
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The Distributed Esteemed Endorser Review: A Novel Approach to Participant Assessment in MOOCs
One of the most challenging aspects of developing a Massive Open Online Course (MOOC) is designing an accurate method to effectively assess participant knowledge and skills. The Distributed Esteemed Endorser Review (DEER) approach has been developed as an alternative for those MOOCs where traditional approaches to assessment are not appropriate. In DEER, course projects are certified in-person by an "Esteemed Endorser", an individual who is typically senior in rank to the student, but is not necessarily an expert in the course content. Not only does DEER provide a means to certify that course goals have been met, it also provides MOOC participants with the opportunity to share information about what they have learned with others at the local level.
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