The DOI matches its Crossref record; 73 of the 80 references it cites were found in a registry or an index.
Learning analytics in European higher education—Trends and barriers
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Building Theories from Case Study Research
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.2307/258557 · Cited by 17,455
Qualitative Research Methods: Collecting Evidence, Crafting Analysis, Communicating Impact
Tracy, S. J. (2012) · Cited by 3,635
The development of student feedback literacy: Enabling uptake of feedback
Carless, D., & Boud, D. (2018) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2018.1463354 · Cited by 2,428
Learning analytics: drivers, developments and challenges
Ferguson, R. (2012) · International Journal of Technology Enhanced Learning · doi:10.1504/ijtel.2012.051816 · Cited by 1,357
NMC Horizon Report: 2017 Higher Education Edition
Becker, S. A., Brown, M., Dahlstrom, E., Davis, A., DePaul, K., Díaz, V., & Pomerantz, J. (2017) · Cited by 1,243
Learning analytics and educational data mining
Siemens, G., & Baker, R. S. (2012) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2330601.2330661 · Cited by 1,091
Learning Analytics: Ethical Issues and Dilemmas
Slade, S., & Prinsloo, P. (2013) · American Behavioral Scientist · doi:10.1177/0002764213479366 · Cited by 1,078
Let’s not forget: Learning analytics are about learning
Gašević, D., Dawson, S., & Siemens, G. (2015) · TechTrends · doi:10.1007/s11528-014-0822-x · Cited by 1,049
Self-citationDeveloping sustainable feedback practices
Carless, D., Salter, D., Yang, M., & Lam, J. (2011) · Studies in Higher Education · doi:10.1080/03075071003642449 · Cited by 869
The myths of the digital native and the multitasker
Kirschner, P. A., & De Bruyckere, P. (2017) · Teaching and Teacher Education · doi:10.1016/j.tate.2017.06.001 · Cited by 796
The current landscape of learning analytics in higher education
Viberg, O., Hatakka, M., Bälter, O., & Mavroudi, A. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.07.027 · Cited by 766 · cited 6×
“Commonly used methods to distil information and visualise data include clustering analysis, network analysis, text mining, process and sequencing mining (Daw-son, Joksimovic, Poquet, & Siemens, 2019; Leitner, Khalil, & Ebner, 2017; Matcha, Gašević, Uzir, Jovanović, & Pardo, 2019; Viberg et al., 2018), although scholar…”
BackgroundMethodInfluential(2012) · DSpace (Open University in the Netherlands) · Cited by 754
Self-citationEthical and privacy principles for learning analytics
Pardo, A., & Siemens, G. (2014) · British Journal of Educational Technology · doi:10.1111/bjet.12152 · Cited by 577
Regulation (EU) 2015/848 of the European Parliament and of the Council
de Farmacoterapia, R. P. (2016) · Hart Publishing eBooks · doi:10.5040/9781782258674.0010 · Cited by 538
Matcha, W., Uzir, N. A., Gašević, D., & Pardo, A. (2019) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2019.2916802 · Cited by 472
Self-citationCo-Designing a Real-Time Classroom Orchestration Tool to Support Teacher–AI Complementarity
Holstein, K., McLaren, B. M., & Aleven, V. A. W. M. M. (2019) · Journal of Learning Analytics · doi:10.18608/jla.2019.62.3 · Cited by 429
Using learning analytics to scale the provision of personalised feedback
Pardo, A., Jovanovic, J., Dawson, S., Gašević, D., & Mirriahi, N. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12592 · Cited by 425
Self-citationNunn, S. G., Avella, J. T., Kanai, T., & Kebritchi, M. (2016) · Online Learning · doi:10.24059/olj.v20i2.790 · Cited by 395
Drachsler, H., & Greller, W. (2016) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2883851.2883893 · Cited by 374
Self-citationThe challenges of feedback in higher education
Henderson, M., Ryan, T., & Phillips, M. (2019) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2019.1599815 · Cited by 335
Features students really expect from learning analytics
Schumacher, C., & Ifenthaler, D. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.06.030 · Cited by 321
EDUCAUSE Horizon Report: 2019 Higher Education Edition.
Alexander, B., Ashford-Rowe, K., Barajas-Murphy, N., Dobbin, G., Knott, J. L., McCormack, M., Pomerantz, J., Seilhamer, R. M., & Weber, N. L. (2019) · QUT ePrints (Queensland University of Technology) · Cited by 316
Jivet, I., Scheffel, M., Specht, M. M., & Drachsler, H. (2018) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3170358.3170421 · Cited by 310
Self-citationStudent privacy in learning analytics: An information ethics perspective
Rubel, A., & Jones, K. M. L. (2016) · The Information Society · doi:10.1080/01972243.2016.1130502 · Cited by 291
Learning Analytics in Higher Education—A Literature Review
Leitner, P., Khalil, M., & Ebner, M. (2017) · Studies in systems, decision and control · doi:10.1007/978-3-319-52977-6_1 · Cited by 263
Why Theory Matters More than Ever in the Age of Big Data
Wise, A. F., & Shaffer, D. W. (2015) · Journal of Learning Analytics · doi:10.18608/jla.2015.22.2 · Cited by 242
Learning Analytics in Higher Education
Lester, J., Klein, C., Rangwala, H., & Johri, A. (2017) · ASHE Higher Education Report · doi:10.1002/aehe.20121 · Cited by 217
Tsai, Y.-S., & Gasevic, D. (2017) · Proceedings of the Seventh International Learning Analytics & Knowledge Conference · doi:10.1145/3027385.3027400 · Cited by 211
Self-citationHerodotou, C., Rienties, B., Boroowa, A., Zdráhal, Z., & Hlosta, M. (2019) · Educational Technology Research and Development · doi:10.1007/s11423-019-09685-0 · Cited by 210
Complexity Leadership Theory: An Interactive Perspective on Leading in Complex Adaptive Systems
Lichtenstein, B. B., Uhl‐Bien, M., Marion, R., Seers, A., Orton, J. D., & Schreiber, C. (2006) · Lincoln (University of Nebraska) · Cited by 197
Prediction in MOOCs: A Review and Future Research Directions
Moreno-Marcos, P. M., Alario‐Hoyos, C., Muñoz‐Merino, P. J., & Kloos, C. D. (2018) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2018.2856808 · Cited by 180
Self-citationResearch Evidence on the Use of Learning Analytics: Implications for Education Policy
Ferguson, R., Andrew Brasher, A., Clow, D., Adam, C., Hillaire, G., Mittelmeier, J., Rienties, B., Ullmann, T., & Riina, V. (2016) · Research Explorer (The University of Manchester) · doi:10.2791/955210 · Cited by 179
Complexity leadership in learning analytics: Drivers, challenges and opportunities
Tsai, Y., Poquet, O., Gašević, D., Dawson, S., & Pardo, A. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12846 · Cited by 162
Self-citationLearning analytics in higher education: an analysis of case studies
Wong, B. T. M. (2017) · AAOU Journal/AAOU journal · doi:10.1108/aaouj-01-2017-0009 · Cited by 148
Tsai, Y., Perrotta, C., & Gašević, D. (2019) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2019.1676396 · Cited by 148
Self-citationMacfadyen, L. P., Dawson, S., Pardo, A., & Gašević, D. (2014) · HAL · Cited by 147
Self-citationPiecing the learning analytics puzzle: a consolidated model of a field of research and practice
Gašević, D., Kovanović, V., & Joksimovíc, S. (2017) · Learning Research and Practice · doi:10.1080/23735082.2017.1286142 · Cited by 146
Self-citationIncreasing the Impact of Learning Analytics
Dawson, S., Joksimovíc, S., Poquet, O., & Siemens, G. (2019) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3303772.3303784 · Cited by 146
Analytics of Learning Strategies
Matcha, W., Gašević, D., Uzir, N. A., Jovanović, J., & Pardo, A. (2019) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3303772.3303787 · Cited by 142
Self-citationColvin, C., Rogers, T., Wade, A. T., Dawson, S., Gašević, D., Shum, S. B., Nelson, K. J., Alexander, S., Lockyer, L., Kennedy, G. E., et al. (2015) · UTS ePRESS (University of Technology Sydney) · Cited by 116
Self-citationGaebel, M., Kupriyanova, V., de Morais, R. D. C. M., & Colucci, E. (2014) · Cited by 114
How do we start? An approach to learning analytics adoption in higher education
Gasevic, D., Tsai, Y.-S., Dawson, S., & Pardo, A. (2019) · The International Journal of Information and Learning Technology · doi:10.1108/ijilt-02-2019-0024 · Cited by 103 · cited 2×
“Similarly, Prieto, Rodríguez-Triana, Martínez-Maldonado, Dimitriadis, and Gašević (2019) emphasise the need to reach a common understanding among stakeholders including teachers, developers and researchers.”
BackgroundSelf-citationPrieto, L. P., Rodríguez‐Triana, M. J., Martínez‐Maldonado, R., Dimitriadis, Y. A., & Gašević, D. (2018) · Australasian Journal of Educational Technology · doi:10.14742/ajet.4314 · Cited by 99
Self-citationThe SHEILA Framework: Informing Institutional Strategies and Policy Processes of Learning Analytics
Tsai, Y.-S., Moreno-Marcos, P. M., Jivet, I., Scheffel, M., Tammets, K., Kollom, K., & Gašević, D. (2018) · Journal of Learning Analytics · doi:10.18608/jla.2018.53.2 · Cited by 93
Self-citationThe privacy paradox and its implications for learning analytics
Tsai, Y., Whitelock‐Wainwright, A., & Gašević, D. (2020) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3375462.3375536 · Cited by 92
Self-citationA bibliometric perspective of learning analytics research landscape
Waheed, H., Hassan, S., Aljohani, N. R., & Wasif, M. (2018) · Behaviour and Information Technology · doi:10.1080/0144929x.2018.1467967 · Cited by 87
Rethinking learning analytics adoption through complexity leadership theory
Dawson, S., Poquet, O., Colvin, C., Rogers, T., Pardo, A., & Gašević, D. (2018) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3170358.3170375 · Cited by 85
Self-citationUtilizing Learning Analytics to Support Study Success
Wong, J., van der Zee, T., Davis, D., Khalil, M., PAAS, F. G. W. C., Baars, M., de Koning, B. B., & Houben, G. (2019) · Springer eBooks · doi:10.1007/978-3-319-64792-0 · Cited by 85
Learning Analytics: Fundaments, Applications, and Trends
Sergis, S., & Sampson, D. (2017) · Studies in systems, decision and control · doi:10.1007/978-3-319-52977-6 · Cited by 76
Embracing imperfection in learning analytics
Kitto, K., Shum, S. B., & Gibson, A. (2018) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3170358.3170413 · Cited by 75
Contextualizable Learning Analytics Design
Shibani, A., Knight, S., & Shum, S. B. (2019) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3303772.3303785 · Cited by 71
Co-creation strategies for learning analytics
Dollinger, M., & Lodge, J. M. (2018) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3170358.3170372 · Cited by 70
Alfy, S. E., Gómez, J. M., & Dani, A. (2018) · Information Discovery and Delivery · doi:10.1108/idd-06-2018-0018 · Cited by 63
Herodotou, C., Rienties, B., Verdin, B., & Boroowa, A. (2019) · Journal of Learning Analytics · doi:10.18608/jla.2019.61.5 · Cited by 62
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
Dawson, S., Haythornthwaite, C., Shum, S. B., Gašević, D., & Ferguson, R. (2011) · International Conference on Learning Analytics and Knowledge (LAK) · Cited by 62
Self-citationWhat data and analytics can and do say about effective learning
Lodge, J. M., & Corrin, L. (2017) · npj Science of Learning · doi:10.1038/s41539-017-0006-5 · Cited by 61
Nouri, J., Ebner, M., Ifenthaler, D., Saqr, M., Malmberg, J., Khalil, M., Bruun, J., Viberg, O., Conde, M. Á., Papamitsiou, Z. K., et al. (2019) · International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI) · doi:10.3991/ijai.v1i1.11053 · Cited by 61
Let’s Talk Learning Analytics: A Framework for Implementation in Relation to Student Retention
West, D., Heath, D., & Huijser, H. (2015) · Online Learning · doi:10.24059/olj.v20i2.792 · Cited by 57
An exercise in institutional reflection
Arnold, K. E., Lonn, S., & Pistilli, M. D. (2014) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2567574.2567621 · Cited by 55
What makes good feedback good?
O’Donovan, B. M., den Outer, B., Price, M., & Lloyd, A. (2019) · Studies in Higher Education · doi:10.1080/03075079.2019.1630812 · Cited by 55
Learning Analytics Challenges to Overcome in Higher Education Institutions
Leitner, P., Ebner, M., & Ebner, M. (2019) · Springer eBooks · doi:10.1007/978-3-319-64792-0_6 · Cited by 54
Opportunities and Challenges in Using Learning Analytics in Learning Design
Schmitz, M., van Limbeek, E. B. M., Greller, W., Sloep, P., & Drachsler, H. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-66610-5_16 · Cited by 45
Self-citationEnhancing learning analytics by understanding the needs of teachers
Corrin, L., Kennedy, G. E., & Mulder, R. A. (2013) · ASCILITE Publications · doi:10.14742/apubs.2013.1515 · Cited by 35
The learning analytics readiness instrument
Oster, M., Lonn, S., Pistilli, M. D., & Brown, M. G. (2016) · Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK '16 · doi:10.1145/2883851.2883925 · Cited by 31
The perceptions of the meaning and value of analytics in New Zealand higher education institutions
Mahroeian, H., Daniel, B. K., & Butson, R. J. (2017) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-017-0073-y · Cited by 16
Brown, M. G., DeMonbrun, R., & Teasley, S. D. (2018) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3170358.3170366 · Cited by 11
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
Long, P. D., Canada, L. 2. 1. I. C. O. L. A. A. K. 2. B. A., & Association for Computing Machinery-Digital Library (2011) · Cited by 11
Herodotou, C., Rienties, B., Verdin, B., & Boroowa, A. (2019) · Open Research Online - ORO (The Open University) · Cited by 10
Conceptualizing co-enrollment: accounting for student experiences across the curriculum
Brown, M. G., DeMonbrun, R., Brown, M., & Teasley, S. (2018) · Iowa State University Digital Repository (Iowa State University) · Cited by 2
Flagged first, then by citations
7 of the 80 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Mah, D.-K., & Groß, N. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00490-1 · Cited by 218
“This finding is consistent with research showing that higher education remains slow to adopt learning analytics (Márquez et al., 2023; Tsai et al., 2020).”
The Future of Accounting: How Will Digital Transformation Impact the Sector?
Gonçalves, M. J., da Silva, A. F., & Ferreira, C. G. (2022) · Informatics · doi:10.3390/informatics9010019 · Cited by 180
Navigating the New Normal: Adapting Online and Distance Learning in the Post-Pandemic Era
Sato, S. N., Condés, E., Rubio-Zarapuz, A., Dalamitros, A. A., Sepulveda, R. A. Y., Tornero-Aguilera, J. F., & Clemente‐Suárez, V. J. (2023) · Education Sciences · doi:10.3390/educsci14010019 · Cited by 269
Delcker, J., Heil, J., Ifenthaler, D., Seufert, S., & Spirgi, L. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00452-7 · Cited by 198
Kaliisa, R., Rienties, B., Mørch, A. I., & Kluge, A. (2022) · Computers and Education Open · doi:10.1016/j.caeo.2022.100073 · Cited by 112
Metadata
- 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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review