Learning analytics in European higher education–trends and barriers

Yi-Shan Tsai, Diego Rates, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Ioana Jivet, Maren Scheffel, Hendrik Drachsler, Carlos Delgado Kloos, Dragan Gašević

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Learning analytics (LA) as a research field has grown rapidly over the last decade. However, adoption of LA is mostly found to be small in scale and isolated at the instructor level. This paper presents an exploratory study on institutional approaches to LA in European higher education and discusses prominent challenges that impede LA from reaching its potential. Based on a series of consultations with senior managers from 83 different higher education institutions in 24 European countries, we observe that LA is primarily perceived as a tool to enhance teaching and institutional management. As a result, teaching and support staff are found to be the main users of LA and the target audience of training support. In contrast, there is little evidence of active engagement with students or using LA to develop self-regulated learning skills. We highlight the importance of grounding LA in learning sciences and including students as a key stakeholder in the design and implementation of LA. This paper contributes to our understanding of the development of LA in European higher education and highlights areas to address in both practice and research.
Original languageEnglish
Article number103933
Number of pages16
JournalComputers & Education
Early online date20 May 2020
Publication statusPublished - 31 Oct 2020

Keywords / Materials (for Non-textual outputs)

  • Learning analytics
  • Cultural and social implications
  • Data science applications in education
  • Cross-cultural projects
  • Post-secondary education


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