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Thieme Hennis

ALOE project - 0 views

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    Social Resource and Metadata Hub Upload and share your files and bookmarks, join groups and communicate with others! ALOE features * feed support for all open groups * the ALOE bookmarklet * full UTF-8 support * an improved web interface
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    ALOE learning network, maakt gebruik van CAM: Contextualized Attention Metadata. Vanuit research gestart.
Thieme Hennis

Use of contextualized attention metadata for ranking and recommending learning objects - 0 views

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    4 verschillende metrics worden behandeld; Link Analysis Ranking, Similarity Recommendation, Personalized Ranking, Contextual Recommendation.
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    The tools used to search and find Learning Objects in different systems do not provide a meaningful and scalable way to rank or recommend learning material. This work propose and detail the use of Contextual Attention Metadata, gathered from the different tools used in the lifecycle of the Learning Object, to create ranking and recommending metrics to improve the user experience. Four types of metrics are detailed: Link Analysis Ranking, Similarity Recommendation, Personalized Ranking and Contextual Recommendation. While designed for Learning Objects, it is shown that these metrics could also be applied to rank and recommend other types of reusable components like software libraries.
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