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

Yi-Shan Tsai, Pedro Manuel Moreno-Marcos, Kairit Tammets, Kaire Kollom, Dragan Gašević

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

10 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Learning Analytics & Knowledge (LAK'18)
Subtitle of host publicationTowards User-Centred Learning Analytics
EditorsSimon Buckingham Shum, Rebecca Ferguson, Agathe Merceron, Xavier Ochoa
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages320-329
Number of pages10
ISBN (Print)9781450364003
DOIs
Publication statusPublished - 7 Mar 2018
EventInternational Learning Analytics & Knowledge Conference 2018 - SMC Conference & Function Centre, Sydney, Australia
Duration: 5 Mar 20189 Mar 2018
Conference number: 8th
https://latte-analytics.sydney.edu.au/ (Conference website)

Conference

ConferenceInternational Learning Analytics & Knowledge Conference 2018
Abbreviated titleLAK 2018
CountryAustralia
CitySydney
Period5/03/189/03/18
Internet address

Keywords

  • Higher education
  • Learning analytics
  • Policy
  • ROMA model
  • Strategy

Cite this

Tsai, Y-S., Moreno-Marcos, P. M., Tammets, K., Kollom, K., & Gašević, D. (2018). SHEILA policy framework: Informing institutional strategies and policy processes of learning analytics. In S. B. Shum, R. Ferguson, A. Merceron, & X. Ochoa (Eds.), Proceedings of the 8th International Conference on Learning Analytics & Knowledge (LAK'18): Towards User-Centred Learning Analytics (pp. 320-329). Association for Computing Machinery (ACM). https://doi.org/10.1145/3170358.3170367