Connecting the dots: an exploratory study on learning analytics adoption factors, experience, and priorities

Yi-Shan Tsai, Vitomir Kovanović, Dragan Gašević

Research output: Contribution to journalArticleResearchpeer-review

8 Citations (Scopus)


Existing studies have shed light on policies and strategies for learning analytics (LA) adoption, yet there is limited understanding of associations among factors that influence adoption processes or the change in priorities when institutional experience with LA increases. This paper addresses this gap by presenting a study based on interviews with institutional leaders from 27 European higher education institutions. Results showed that experienced institutions demonstrated more interest in exploring learning behaviour and pedagogical reformation than simply measuring a phenomenon. Experienced institutions also paid more attention to methodological approaches to LA than data constraints, and demonstrated a broader involvement of teachers and students. This paper also identifies inter-related connections between prevailing challenges that impede the scaling of LA. Based on the results, we suggest regular evaluations of LA adoption to ensure the alignment of strategy and desired changes. We also identify three areas that require particular attention when forming short-term goals for LA at different phases of adoption

Original languageEnglish
Article number100794
Number of pages16
JournalInternet and Higher Education
Publication statusPublished - Jun 2021


  • Adoption factors, adoption experience
  • Adoption strategy
  • Epistemic network analysis
  • Higher education
  • Learning analytics

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