Student perceptions of privacy principles for learning analytics
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Ethical and privacy issues are contextualized.
“ethical and privacy issues are suggested to be contextualized (Ifenthaler & Schumacher, 2016)”
From Ethical principles for artificial intelligence in education (2023) · cites this paper as Ifenthaler & Schumacher, 2016
Student research shows that acceptability varies substantially by data type, so generic notice or consent cannot replace contextual necessity and proportionality analysis.
“Student research also shows that acceptability varies substantially by data type, so generic notice or consent cannot replace contextual necessity and proportionality analysis (Ifenthaler & Schumacher, 2016).”
From Responsible AI in Polish Higher-Education Administration under the EU AI Act: High-Risk Use Cases, Fundamental-Rights Impact Assessment, and Institutional Accountability (2026) · cites this paper as Ifenthaler & Schumacher, 2016
Cites
The expert learner: Strategic, self-regulated, and reflective
Ertmer, P. A., & Newby, T. J. (1996) · Instructional Science · doi:10.1007/bf00156001 · Cited by 716 · see citing works
Ethical and privacy principles for learning analytics
Pardo, A., & Siemens, G. (2014) · British Journal of Educational Technology · doi:10.1111/bjet.12152 · Cited by 577 · cited 8× · see citing works
“Currently, most research on privacy issues in learning analytics refers to guidelines from other disciplines, such as Internet security or medical environments (Pardo and Siemens 2014).”
BackgroundInfluentialStudent privacy self-management: implications for learning analytics
Prinsloo, P., & Slade, S. (2015) · Proceedings of the Fifth International Conference on Learning Analytics And Knowledge · doi:10.1145/2723576.2723585 · Cited by 119 · see citing works
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Ethical principles for artificial intelligence in education
Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B.-P. T. (2023) · Education and Information Technologies · doi:10.1007/s10639-022-11316-w · Cited by 1,228 · see citing works
“…attempted to establish different ethical frameworks for general AI use (e.g., Ashok et al., 2022 ), ethical and privacy issues are suggested to be contextualized (Ifenthaler & Schumacher, 2016 ), hence the prior guidelines estab - lished in other disciplines might not be appropriate for education.”
BackgroundGenerative Artificial Intelligence in Education and Its Implications for Assessment
Mao, J., Chen, B., & Liu, J. C. (2024) · TechTrends · doi:10.1007/s11528-023-00911-4 · Cited by 270 · see citing works
Artificial Intelligence in Education: Implications for Policymakers, Researchers, and Practitioners
Ifenthaler, D., Majumdar, R., Gorissen, P., Judge, M., Mishra, S., Raffaghelli, J., & Shimada, A. (2024) · Technology, Knowledge and Learning · doi:10.1007/s10758-024-09747-0 · Cited by 238 · see citing works
Self-citationLearning analytics in higher education: a preponderance of analytics but very little learning?
Guzmán-Valenzuela, C., Gómez-González, C., Rojas-Murphy Tagle, A., & Lorca-Vyhmeister, A. (2021) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-021-00258-x · Cited by 131 · see citing works
Are Higher Education Institutions Prepared for Learning Analytics?
Ifenthaler, D. (2017) · TechTrends · doi:10.1007/s11528-016-0154-0 · Cited by 124 · see citing works
Self-citationEthical issues in learning analytics: a review of the field
Tzimas, D., & Demetriadis, S. (2021) · Educational Technology Research and Development · doi:10.1007/s11423-021-09977-4 · Cited by 119 · see citing works
Paulsen, L., & Lindsay, E. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-12401-4 · Cited by 111 · see citing works
Schumacher, C., & Ifenthaler, D. (2021) · The Internet and Higher Education · doi:10.1016/j.iheduc.2020.100791 · Cited by 109 · see citing works
Self-citationStudents' privacy concerns in learning analytics: Model development
Mutimukwe, C., Viberg, O., Oberg, L., & Cerratto‐Pargman, T. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13234 · Cited by 90 · see citing works
Cerratto Pargman, T., & McGrath, C. (2021) · Journal of Learning Analytics · doi:10.18608/jla.2021.1 · Cited by 88 · see citing works
The answer is (not only) technological: Considering student data privacy in learning analytics
Prinsloo, P., Slade, S., & Khalil, M. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13216 · Cited by 77 · see citing works
Braunack-Mayer, A. J., Street, J. M., Tooher, R., Feng, X., & Scharling-Gamba, K. (2020) · Review of Educational Research · doi:10.3102/0034654320960213 · Cited by 41 · see citing works
Exploring students’ expectations of learning analytics: A person-centered approach
Viberg, O., Engström, L., Saqr, M., & Hrastinski, S. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10980-2 · Cited by 35 · see citing works
Heiser, R., Dello Stritto, M. E., Brown, A., & Croft, B. (2023) · Journal of Learning Analytics · doi:10.18608/jla.2023.7775 · Cited by 18 · see citing works
Chang, M. A., Tissenbaum, M., Philip, T. M., & D’Mello, S. K. (2025) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2025.100364 · Cited by 12 · see citing works
- Authors
- Ifenthaler, D., & Schumacher, C.
- Affiliations
- Deakin University (AU)
- University of Mannheim (DE)
- Corresponding author
- Ifenthaler, Dirk
- Venue
- Educational Technology Research and Development
- Published
- 2016-08-17
- Volume
- 64
- Issue
- 5
- Pages
- 923-938
- ISSN
- 1042-1629 (ISSN-L)
- 1556-6501
- OpenAlex
- W2513036450
- Cited by
- 314
- References
- 3
- Citations by year
- 2026: 68 · 2025: 38 · 2024: 33 · 2023: 46 · 2022: 36 · 2021: 32 · 2020: 27 · 2019: 21 · 2018: 7 · 2017: 5 · 2016: 1
- FWCI
- 15.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Educational Technology Research and Development (publishedVersion)
- MADOC (University of Mannheim) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Keywords
- learning analytics, student privacy, privacy principles, personal data, data sharing, data control, personalized dashboards, technology acceptance, stakeholder engagement, higher education
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