Error minimized designation of inhomogeneous assessors on repetitive tasks in large numbers

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    Abstract

    ![CDATA[Assessment consistency is not easy to maintain across many assessors for a unit of a large student population, particularly when a great many of those assessors are not regular staff. This work proposes an assessor reallocation approach, and a variant, to assign assessors to marking new assessment items for the different students based on the assessors’ earlier marking statistics in comparison with that of the other fellow assessors. This is to minimize the potential accumulation of marking discrepancies without having to resort to additional staff training which can often be impossible within an allowed time or budget frame.]]
    Original languageEnglish
    Title of host publicationProceedings of the 2010 IRAST International Congress on Computer Applications and Computational Science (CACS 2010), 4-6 December 2010, Singapore
    PublisherIRAST
    Pages542-545
    Number of pages4
    ISBN (Print)9789810868468
    Publication statusPublished - 2010
    EventInternational Congress on Computer Applications and Computational Science -
    Duration: 4 Dec 2010 → …

    Conference

    ConferenceInternational Congress on Computer Applications and Computational Science
    Period4/12/10 → …

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