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    Enhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach

    Access Status
    Fulltext not available
    Authors
    Sergis, S.
    Sampson, Demetrios
    Giannakos, M.
    Date
    2017
    Type
    Conference Paper
    
    Metadata
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    Citation
    Sergis, S. and Sampson, D. and Giannakos, M. 2017. Enhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach, in Proceedings of the 17th International Conference on Advanced Learning Technologies (ICALT), Jul 3-7 2017, pp. 21-25. Timisoara, Romania: IEEE.
    Source Title
    Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017
    DOI
    10.1109/ICALT.2017.87
    ISBN
    9781538638705
    School
    School of Education
    URI
    http://hdl.handle.net/20.500.11937/59195
    Collection
    • Curtin Research Publications
    Abstract

    Orchestrating holistic school improvement requires school leaders to effectively engage in the tasks of collecting and processing diverse educational data from the school ecosystem, and more importantly, to be able to 'translate' these analyses to specific remedying actions for targeted improvement. However, these processes can be cumbersome, especially given that existing 'School Analytics' methods aiming to support them have mainly focused on the former task, but have yet to explicitly address the latter. In this context, the paper presents and initially validates a novel School Analytics approach, which employs fuzzy-set Qualitative Comparative Analysis as the means to provide leaders with actionable insights on how to create the school conditions for fostering students' learning outcomes, focusing on 'digital skills' as a case study.

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