Dataset-Driven Research to Support Learning and Knowledge Analytics

Katrien Verbert, Nikos Manouselis, Hendrik Drachsler, Erik Duval

    Research output: Contribution to journalArticlepeer-review

    Abstract

    In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced learning, as there are various sources of data that have not been identified and documented exhaustively. In this paper, we provide such an analysis of datasets that can be used for research on learning and knowledge analytics. First, we present a framework for the analysis of educational datasets. Then, we analyze existing datasets along the dimensions of this framework and outline future challenges for the collection and sharing of educational datasets.
    Original languageEnglish
    Pages (from-to)133-148
    Number of pages16
    JournalEducational Technology & Society
    Volume15
    Issue number3
    Publication statusPublished - Jul 2012

    Keywords

    • dataTEL
    • learning analytics
    • educational datasets
    • open science
    • Learning and Knowledge analytics
    • datasets

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