Enhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach
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 im...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/59195 |
| _version_ | 1848760410909442048 |
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| author | Sergis, S. Sampson, Demetrios Giannakos, M. |
| author_facet | Sergis, S. Sampson, Demetrios Giannakos, M. |
| author_sort | Sergis, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T10:15:21Z |
| format | Conference Paper |
| id | curtin-20.500.11937-59195 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:15:21Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-591952018-05-09T01:39:09Z Enhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach Sergis, S. Sampson, Demetrios Giannakos, M. 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. 2017 Conference Paper http://hdl.handle.net/20.500.11937/59195 10.1109/ICALT.2017.87 restricted |
| spellingShingle | Sergis, S. Sampson, Demetrios Giannakos, M. Enhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach |
| title | Enhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach |
| title_full | Enhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach |
| title_fullStr | Enhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach |
| title_full_unstemmed | Enhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach |
| title_short | Enhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach |
| title_sort | enhancing student digital skills: adopting an ecosystemic school analytics approach |
| url | http://hdl.handle.net/20.500.11937/59195 |