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JCAL special issue on "Learning analytics in massively multi-user virtual environments and courses" - Articles available online

  • 1.  JCAL special issue on "Learning analytics in massively multi-user virtual environments and courses" - Articles available online

    Posted 03-28-2016 11:43
    Dear colleagues,

    You might like to know that the special issue of Journal of Computer Assisted Learning (JCAL) on "Learning analytics in massively multi-user virtual environments and courses" is currently slated for publication shortly as Vol. 32, Issue 3 of the journal. In the meantime, the articles comprising the issue are available online through Wiley’s Early View initiative. If you are affiliated with a higher education institution with a subscription that includes JCAL, you should be able to access the content via your institution’s library; for your convenience, DOI links to each of the articles are included below.

    EDITORIAL

    Learning analytics in massively multi-user virtual environments and courses
    M.J.W. Lee, P.A. Kirschner and L. Kester
    http://dx.doi.org/10.1111/jcal.12139

    SPECIAL ISSUE ARTICLES

    A MOOC based on blended pedagogy
    S. Rayyan, C. Fredericks, K.F. Colvin, A. Liu, R. Teodorescu, A. Barrantes, A. Pawl, D.T. Seaton and D.E. Pritchard
    http://dx.doi.org/10.1111/jcal.12126

    Understanding MOOC students: motivations and behaviours indicative of MOOC completion
    B.K. Pursel, L. Zhang, K.W. Jablokow, G.W. Choi and D. Velegol
    http://dx.doi.org/10.1111/jcal.12131

    The role of students' motivation and participation in predicting performance in a MOOC
    P.G. de Barba, G.E. Kennedy and M.D. Ainley
    http://dx.doi.org/10.1111/jcal.12130

    Who are the top contributors in a MOOC? Relating participants' performance and contributions
    C. Alario-Hoyos, P. J. Muñoz-Merino, M. Pérez-Sanagustín, C. Delgado Kloos and H. A. Parada G.
    http://dx.doi.org/10.1111/jcal.12127

    Connecting performance to social structure and pedagogy as a pathway to scaling learning analytics in MOOCs: an exploratory study
    S.P. Goggins, K.D. Galyen and J.M. Laffey
    http://dx.doi.org/10.1111/jcal.12129 (This link is not yet active as the article is undergoing some corrections.)

    Towards general models of effective science inquiry in virtual performance assessments
    R.S. Baker, J. Clarke-Midura and J. Ocumpaugh
    http://dx.doi.org/10.1111/jcal.12128

    CLOSING COMMENTARY/EPILOGUE

    The MOOC and learning analytics innovation cycle (MOLAC): a reflective summary of ongoing research and its challenges
    H. Drachsler and M. Kalz
    http://dx.doi.org/10.1111/jcal.12135


    Kind regards,



    Mark J.W. Lee, Paul A. Kirschner and Liesbeth Kester
    Editors