The Distributed Esteemed Endorser Review: A novel approach to participant assessment in MOOCs

Jennifer S. Kay, Tyler J. Nolan, Thomas M. Grello

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Abstract

    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.

    Original languageEnglish (US)
    Title of host publicationL@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale
    PublisherAssociation for Computing Machinery, Inc
    Pages157-160
    Number of pages4
    ISBN (Electronic)9781450337267
    DOIs
    StatePublished - Apr 25 2016
    Event3rd Annual ACM Conference on Learning at Scale, L@S 2016 - Edinburgh, United Kingdom
    Duration: Apr 25 2016Apr 26 2016

    Publication series

    NameL@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale

    Other

    Other3rd Annual ACM Conference on Learning at Scale, L@S 2016
    CountryUnited Kingdom
    CityEdinburgh
    Period4/25/164/26/16

    All Science Journal Classification (ASJC) codes

    • Education
    • Software
    • Computer Science Applications
    • Computer Networks and Communications

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