Personal recommender system to advice learning tasks in Moodle

Hendrik Drachsler, Bert Van den Berg, Rob Nadolski, Adriana Berlanga, Hans Hummel

    Research output: Non-textual formSoftwareAcademic

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    Abstract

    The Open University of the Netherlands designed a prototypical Personalised Recommendation System (PRS) and evaluated it in a first experimental field study, attended by around 180 students. The PRS recommends most suitable learning activities to learners, by taking into account their personal profile and the (successful) behavior from other (similar) learners. We used a special kind of collaborative filtering technique, called stereotype filtering, and combined this with an ontology.
    Original languageEnglish
    Publication statusPublished - 5 Jul 2007

    Keywords

    • navigation
    • recommender system
    • collaborative filtering
    • ontology
    • user profiling
    • php
    • web service

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