The DOI matches its Crossref record; 120 of the 123 references it cites were found in a registry or an index.
Ethical issues in learning analytics: a review of the field
Overview
Integrity signals
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“This digital revolution in education, particularly the use of AI and learning analytics in the field of education, entails a massive amount of personal data generated, captured, and analyzed to optimize learning experiences (Tzimas & Demetriadis, 2021; Pardo & Siemens, 2014).”
From Ethical principles for artificial intelligence in education (2023) · cites this paper as Tzimas & Demetriadis, 2021
Citations
Cites
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Penetrating the Fog: Analytics in Learning and Education.
Siemens, G., & Long, P. (2011) · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · Cited by 1,752
Learning Analytics: The Emergence of a Discipline
Siemens, G. (2013) · American Behavioral Scientist · doi:10.1177/0002764213498851 · Cited by 1,284
Motivational Design for Learning and Performance: The ARCS Model Approach
Keller, J. M. (2010) · doi:10.1007/978-1-4419-1250-3 · Cited by 1,113
Learning Analytics: Ethical Issues and Dilemmas
Slade, S., & Prinsloo, P. (2013) · American Behavioral Scientist · doi:10.1177/0002764213479366 · Cited by 1,078
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The current landscape of learning analytics in higher education
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- Cameron, W. B. (1958). Tell me not in mournful numbers. National Education Association of the United States.
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Cited by
Sorted by citations
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
“This digital revolution in education, particularly the use of AI and learning analytics in the field of education, entails a massive amount of personal data generated, cap - tured, and analyzed to optimize learning experiences (Tzimas & Demetriadis, 2021; Pardo & Siemens, 2014).”
Song, C., Shin, S.-Y., & Shin, K.-S. (2024) · Applied Sciences · doi:10.3390/app14020916 · Cited by 158
Tiukhova, E., Vemuri, P., Flores, N. G. L., Íslind, A. S., Óskarsdóttir, M., Poelmans, S., Baesens, B., & Snoeck, M. (2024) · Decision Support Systems · doi:10.1016/j.dss.2024.114229 · Cited by 117
The Effects of Explanations in Automated Essay Scoring Systems on Student Trust and Motivation
Conijn, R., Kahr, P. K., & Snijders, C. C. P. (2023) · Journal of Learning Analytics · doi:10.18608/jla.2023.7801 · Cited by 114
Measuring emotions in education using wearable devices: A systematic review
Ba, S., & Hu, X. (2023) · Computers & Education · doi:10.1016/j.compedu.2023.104797 · Cited by 83
Metadata
- Authors
- Tzimas, D., & Demetriadis, S.
- Affiliations
- Aristotle University of Thessaloniki (GR)
- Corresponding author
- Tzimas, Dimitrios
- Venue
- Educational Technology Research and Development
- Published
- 2021-03-05
- Volume
- 69
- Issue
- 2
- Pages
- 1101-1133
- ISSN
- 1042-1629 (ISSN-L)
- 1556-6501
- OpenAlex
- W3134656961
- Cited by
- 119
- References
- 123
- Citations by year
- 2026: 20 · 2025: 37 · 2024: 22 · 2023: 26 · 2022: 11 · 2021: 3
- FWCI
- 13.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Educational Technology Research and Development (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Education › Digital Education and Society
- Keywords
- learning analytics, ethics of learning analytics, educational data, big data in education, moral norms, code of practice, educational stakeholders, responsible data use, instructional design model
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