SHEILA policy framework: informing institutional strategies and policy processes of learning analytics

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.contributor.authorTsai, Yi-Shan
dc.contributor.authorMoreno-Marcos, Pedro Manuel
dc.contributor.authorTammets, Kairit
dc.contributor.authorKollom, Kaire
dc.contributor.authorGasevic, Dragan
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2024-06-03T12:33:10Z
dc.date.available2024-06-03T12:33:10Z
dc.date.issued2018
dc.descriptionProceedings of: 8th International Conference on Learning Analytics and Knowledge (LAK'2018), 7-9 March 2018, Sydney, New South Wales (Australia)en
dc.description.abstractABSTRACT: 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.en
dc.description.sponsorshipThis 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.en
dc.format.extent10
dc.identifier.bibliographicCitationTsai, Yi-Shan; Moreno Marcos, Pedro Manuel; Tammets, Kairit; Kollom, Kaire; Gasevic, Dragan (2018). SHEILA policy framework: informing institutional strategies and policy processes of learning analytics. Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK '18). : Association For Computing Machinery (Acm) . Pp. 320-329en
dc.identifier.isbn978-1-4503-6400-3
dc.identifier.publicationfirstpage320
dc.identifier.publicationlastpage329
dc.identifier.publicationtitleLAK '18: Proceedings of the 8th International Conference on Learning Analytics and Knowledgeen
dc.identifier.urihttps://hdl.handle.net/10016/43930
dc.identifier.uxxiCC/0000029653
dc.language.isoengen
dc.publisherAssociation For Computing Machinery (Acm)en
dc.relation.eventdate7-9 March, 2018
dc.relation.eventnumber8then
dc.relation.eventplaceSidney, Australiaen
dc.relation.eventtitleInternational Conference on Learning Analytics and Knowledge (LAK'2018)en
dc.rights© 2018 ACMen
dc.rights.accessRightsopen accessen
dc.subject.ecienciaInformáticaes
dc.subject.ecienciaIngeniería Industriales
dc.subject.otherLearning Analyticsen
dc.subject.otherPolicyen
dc.subject.otherHigher Educationen
dc.subject.otherStrategyen
dc.subject.otherRoma Modelen
dc.titleSHEILA policy framework: informing institutional strategies and policy processes of learning analyticsen
dc.typeconference paperen
dc.type.hasVersionAMen
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