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

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    28 Citations (Web of Science)


    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.
    Original languageEnglish
    Pages (from-to)5-20
    Number of pages16
    JournalJournal of Learning Analytics
    Issue number3
    Publication statusPublished - 11 Dec 2018


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


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