Personal Recommender Simulation

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

    Research output: Non-textual formSoftwareAcademic

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    Abstract

    The main goal of our project is to research and develop technologies that support users in Learning Networks. One of the questions in this research is how to tackle the problem of the difficulty for learners to navigate through the network: what is the most effective way to reach the learning target or which course can be studied best after finishing a particular one? The aim of this program is to simulate recommendations (strategies) of learning actions (LA's) for learners in a learning network with different (sub) domains, targets, preferences and competences. It is used to explore and to research the effectiveness of different recommendation strategies in various settings.
    Original languageEnglish
    Publication statusPublished - 22 Mar 2008

    Keywords

    • simulation
    • recommender strategies
    • collaborative filtering
    • rating

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