RT Conference Proceedings
T1 SHEILA policy framework: informing institutional strategies and policy processes of learning analytics
A1 Tsai, Yi-Shan
A1 Moreno-Marcos, Pedro Manuel
A1 Tammets, Kairit
A1 Kollom, Kaire
A1 Gasevic, Dragan
AB ABSTRACT: This paper introduces a learning analytics policy development 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 using the RAPID Outcome Mapping Approach (ROMA), which is designed to develop effective strategies and evidence-based policy in complex environments. This paper presents three case studies to illustrate the development process of the SHEILA policy framework, which can be used to inform strategic planning and policy processes in real world environments, particularly for large-scale implementation in higher education contexts.
PB Association For Computing Machinery (Acm)
SN 978-1-4503-6400-3
YR 2018
FD 2018
LK https://hdl.handle.net/10016/43930
UL https://hdl.handle.net/10016/43930
LA eng
NO Proceedings of: 8th International Conference on Learning Analytics and Knowledge (LAK'2018), 7-9 March 2018, Sydney, New South Wales (Australia)
NO This work was supported by the Erasmus+ Programme of the European Union [562080-EPP-1-2015-1-BE-EPPKA3-PIFORWARD]. The European Commission’s support for the production of this publication does not constitute an endorsement of the contents, which reflects the views only of the authors, and the Commission will not be held responsible for any use which may be made of the information contained therein. The project involved collaborative input from all the partners involved and their contributions are highly appreciated. We would also like to give thanks to our research participants for their valuable contributions.
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RD 30 jun. 2024