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    Exploratory Analysis in Learning Analytics

    267821.pdf (1.152Mb)
    Access Status
    Open access
    Authors
    Gibson, David
    de Freitas, S.
    Date
    2016
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Gibson, D. and de Freitas, S. 2016. Exploratory Analysis in Learning Analytics. Technology, Knowledge and Learning. 21 (1): pp. 5-19.
    Source Title
    Technology, Knowledge and Learning
    DOI
    10.1007/s10758-015-9249-5
    ISSN
    2211-1662
    School
    Curtin Teaching and Learning (CTL)
    Remarks

    The final publication is available at Springer via 10.1007/s10758-015-9249-5

    URI
    http://hdl.handle.net/20.500.11937/69550
    Collection
    • Curtin Research Publications
    Abstract

    This article summarizes the methods, observations, challenges and implications for exploratory analysis drawn from two learning analytics research projects. The cases include an analysis of a games-based virtual performance assessment and an analysis of data from 52,000 students over a 5-year period at a large Australian university. The complex datasets were analyzed and iteratively modeled with a variety of computationally intensive methods to provide the most effective outcomes for learning assessment, performance management and learner tracking. The article presents the research contexts, the tools and methods used in the exploratory phases of analysis, the major findings and the implications for learning analytics research methods.

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