Learning analytics in European higher education—Trends and barriers
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Higher education remains slow to adopt learning analytics.
“This finding is consistent with research showing that higher education remains slow to adopt learning analytics (Márquez et al., 2023; Tsai et al., 2020).”
From Artificial intelligence in higher education: exploring faculty use, self-efficacy, distinct profiles, and professional development needs (2024) · cites this paper as Tsai et al., 2020
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Datafizierte Gesellschaft | Bildung | Schule
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Supporting Student Agency with a Student-Facing Learning Analytics Dashboard
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- Authors
- Tsai, Y.-S., Rates, D., Moreno-Marcos, P. M., Muñoz-Merino, P. J., Jivet, I., Scheffel, M., Drachsler, H., Delgado Kloos, C., & Gašević, D.
- Affiliations
- University of Edinburgh (GB)
- Universidad Carlos III de Madrid (ES)
- Open University of the Netherlands (NL)
- DIPF | Leibniz Institute for Research and Information in Education (DE)
- Corresponding author
- Tsai, Yi-Shan
- ORCID
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 155
- Pages
- 103933
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W3027748857
- Cited by
- 192
- References
- 80
- Citations by year
- 2026: 26 · 2025: 23 · 2024: 32 · 2023: 58 · 2022: 29 · 2021: 22 · 2020: 2
- FWCI
- 25.35
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Computers & Education (publishedVersion)
- e-Archivo (Carlos III University of Madrid) (submittedVersion, cc-by-nc-nd)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by-nc-nd)
- DSpace (Open University in the Netherlands) (submittedVersion)
- Funders
- European Commission
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Physical Sciences › Computer Science › Information Systems › Educational and Technological Research
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- learning analytics, higher education institutions, institutional adoption, barriers to adoption, student engagement, student self-regulation, learning sciences, institutional management, teaching support, European higher education
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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