The SHEILA Framework: Informing Institutional Strategies and Policy Processes of Learning Analytics
The SHEILA Framework: Informing Institutional Strategies and Policy Processes of Learning Analytics
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SHEILA 框架：为学习分析的机构策略和政策流程提供信息
DOI：
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发表时间：
2018
影响因子：
3.9
通讯作者：
D. Gašević
中科院分区：
文献类型：
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作者：
Yi;Pedro Manuel Moreno;I. Jivet;Maren Scheffel;Kairit Tammets;Kaire Kollom;D. Gašević
本文介绍了由跨欧洲研究项目团队 SHEILA（支持高等教育整合学习分析）开发的学习分析政策和战略框架，该框架基于对来自 16 个国家 51 所欧洲高等教育机构的 78 名高级管理人员的采访。该框架是根据快速结果映射方法（ROMA）开发的，旨在在复杂环境中制定有效的战略和基于证据的政策。本文提出了四个案例研究来说明 SHEILA 框架的开发过程，以及如何迭代地使用它来为现实环境中的战略规划和政策流程提供信息，特别是在高等教育环境中的大规模实施。为此，我们对选定的案例进行了两个阶段的分析，每个阶段相隔一年，以调查解决现有挑战所遵循的采用方法的进展情况，并确定可以通过遵循 SHEILA 框架来解决的新挑战。
This paper introduces a learning analytics policy and strategy framework developed by a cross-European research project team — SHEILA (Supporting Higher Education to Integrate Learning Analytics), based on interviews with 78 senior managers from 51 European higher education institutions across 16 countries. The framework was developed adapting the RAPID Outcome Mapping Approach (ROMA), which is designed to develop effective strategies and evidence-based policy in complex environments. This paper presents four case studies to illustrate the development process of the SHEILA framework and how it can be used iteratively to inform strategic planning and policy processes in real world environments, particularly for large-scale implementation in higher education contexts. To this end, the selected cases were analyzed at two stages, each a year apart, to investigate the progression of adoption approaches that were followed to solve existing challenges, and identify new challenges that could be addressed by following the SHEILA framework.