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

Yi-Shan Tsai, Pedro Manuel Moreno-Marcos, Ioana Jivet, Maren Scheffel, Kairit Tammets, Kaire Kollom, Dragan Gasevic

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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 analysed at two stages, each a year apart from, so as 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.
Original languageEnglish
Pages (from-to)5-20
Number of pages16
JournalJournal of Learning Analytics
Issue number3
Publication statusPublished - 11 Dec 2018

Keywords / Materials (for Non-textual outputs)

  • learning analytics
  • policy
  • higher education
  • strategy
  • ROMA model


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