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dc.contributor.authorSergis, S.
dc.contributor.authorSampson, Demetrios
dc.contributor.authorGiannakos, M.
dc.date.accessioned2017-12-10T12:39:09Z
dc.date.available2017-12-10T12:39:09Z
dc.date.created2017-12-10T12:20:13Z
dc.date.issued2017
dc.identifier.citationSergis, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/59195
dc.identifier.doi10.1109/ICALT.2017.87
dc.description.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.

dc.titleEnhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach
dc.typeConference Paper
dcterms.source.startPage21
dcterms.source.endPage25
dcterms.source.titleProceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017
dcterms.source.seriesProceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017
dcterms.source.isbn9781538638705
curtin.departmentSchool of Education
curtin.accessStatusFulltext not available


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