dc.contributor.author | Sergis, Stylianos | |
dc.contributor.author | Sampson, Demetrios G. | |
dc.contributor.author | Giannakos, Michail | |
dc.date.accessioned | 2018-03-05T11:37:32Z | |
dc.date.available | 2018-03-05T11:37:32Z | |
dc.date.created | 2017-09-07T16:37:09Z | |
dc.date.issued | 2017 | |
dc.identifier.isbn | 978-1-5386-3870-5 | |
dc.identifier.uri | http://hdl.handle.net/11250/2488548 | |
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. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.relation.ispartof | 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT) | |
dc.title | Enhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach | nb_NO |
dc.type | Chapter | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 21-25 | nb_NO |
dc.identifier.doi | 10.1109/ICALT.2017.87 | |
dc.identifier.cristin | 1491880 | |
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.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |