Show simple item record

dc.contributor.authorSergis, Stylianos
dc.contributor.authorSampson, Demetrios G.
dc.contributor.authorGiannakos, Michail
dc.date.accessioned2018-03-05T11:37:32Z
dc.date.available2018-03-05T11:37:32Z
dc.date.created2017-09-07T16:37:09Z
dc.date.issued2017
dc.identifier.isbn978-1-5386-3870-5
dc.identifier.urihttp://hdl.handle.net/11250/2488548
dc.description.abstractOrchestrating 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.nb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.relation.ispartof2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)
dc.titleEnhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approachnb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber21-25nb_NO
dc.identifier.doi10.1109/ICALT.2017.87
dc.identifier.cristin1491880
dc.description.localcode© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record