Enhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach

Stylianos Sergis, D. Sampson, M. Giannakos
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引用次数: 7

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.
提高学生的数字技能:采用生态系统学校分析方法
统筹学校的整体改善需要学校领导有效地参与收集和处理来自学校生态系统的各种教育数据的任务,更重要的是,能够将这些分析“转化”为具体的补救行动,以实现有针对性的改善。然而,这些过程可能会很麻烦,特别是考虑到现有的“学校分析”方法主要侧重于前一项任务,但尚未明确解决后一项任务。在此背景下,本文提出并初步验证了一种新颖的学校分析方法,该方法采用模糊集定性比较分析作为手段,为领导者提供关于如何创造促进学生学习成果的学校条件的可操作见解,重点关注“数字技能”作为案例研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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