University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Melbourne Graduate School of Education
  • Melbourne Graduate School of Education - Research Publications
  • View Item
  • Minerva Access
  • Melbourne Graduate School of Education
  • Melbourne Graduate School of Education - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    What data and analytics can and do say about effective learning

    Thumbnail
    Download
    Published version (283.9Kb)

    Citations
    Altmetric
    Author
    Lodge, JM; Corrin, L
    Date
    2017-12-09
    Source Title
    npj Science of Learning
    Publisher
    SPRINGERNATURE
    University of Melbourne Author/s
    Lodge, Jason; Corrin, Linda
    Affiliation
    Melbourne Graduate School of Education
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Lodge, J. M. & Corrin, L. (2017). What data and analytics can and do say about effective learning. NPJ SCIENCE OF LEARNING, 2 (1), https://doi.org/10.1038/s41539-017-0006-5.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/258953
    DOI
    10.1038/s41539-017-0006-5
    Open Access at PMC
    http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220326
    Abstract
    The collection and analysis of data about learning is a trend that is growing exponentially in all levels of education. Data science is poised to have a substantial influence on the understanding of learning in online and blended learning environments. The mass of data already being collected about student learning provides a source of greater insights into student learning that have not previously been available, and therefore is liable to have a substantial impact on and be impacted by the science of learning in the years ahead. However, despite the potential evident in the application of data science to education, several recent articles have pointed out that student behavioural data collected en masse do not holistically capture student learning. Rogers contends that this positivist view of analytics in education is symptomatic of issues in the social sciences more broadly. While there is undeniable merit in bringing a critical perspective to the use of data and analytics, we suggest that the power and intent of data science for understanding learning is now becoming apparent. The intersection of the science of learning with data and analytics enables more sophisticated ways of making meaning to support student learning.

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Minerva Elements Records [52443]
    • Melbourne Graduate School of Education - Research Publications [1597]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors