Unifying Learning Object Repositories in MACE

Christian Prause, Stefaan Ternier, Tim De Jong, Stefan Apelt, Marius Scholten, Martin Wolpers, Markus Eisenhauer, Bram Vandeputte, Marcus Specht, Erik Duval

    Research output: Contribution to conferencePaperAcademic

    22 Downloads (Pure)

    Abstract

    During the last years a series of repositories containing leaning contents for architecture have been created. With all these repositories financed, designed, implemented and maintained independently of each other, valuable and expensive information contained in the repositories lies — scattered over several European countries — in several thousand learning objects. With each single repository holding its own set of learning objects and metadata schemas describing them and not being connected to others, the contents are unnecessary hard to find and cannot be used to the full extent possible. This is part due to legal and part to technical difficulties. In MACE, we aim to overcome these issues and create an infrastructure to enable the discovery and identification of learning objects all across different repositories in a uniform way.
    Original languageEnglish
    Publication statusPublished - 1 Jul 2007

    Keywords

    • metadata
    • context metadata
    • competence and process metadata
    • content and domain metadata
    • Usage Related and Social metadata
    • metadata enrichment
    • MACE project
    • Architectural content

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