Guest Editorial: Ethics and Privacy in Learning Analytics
Open accessAbstract
The European Learning Analytics Community Exchange (LACE) project is responsible for an ongoing series of workshops on ethics and privacy in learning analytics (EP4LA), which have been responsible for driving and transforming activity in these areas. Some of this activity has been brought together with other work in the papers that make up this special issue. These papers cover the creation and development of ethical frameworks, as well as tools and approaches that can be used to address issues of ethics and privacy. This editorial suggests that it is worth taking time to consider the often intertangled issues of ethics, data protection and privacy separately. The challenges mentioned within the special issue are summarised in a table of 22 challenges that are used to identify the values that underpin work in this area. Nine ethical goals are suggested as the editors’ interpretation of the unstated values that lie behind the challenges raised in this paper.
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Ethical risks of LLMs can be aggregated into three fundamental ethical issues: privacy concerns, equality concerns, and beneficence concerns.
“These risks can be further aggregated into three fundamental ethical issues, such as privacy concerns regarding educational stakeholders' personal data, equality concerns regarding the accessibility of stakeholders with different backgrounds, and beneficence concerns about the potential harms and negative impacts that LLMs-based innovations may have on stakeholders (Ferguson et al., 2016).”
From Practical and ethical challenges of large language models in education: A systematic scoping review (2024) · cites this paper as Ferguson et al., 2016
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- Authors
- Ferguson, R., Hoel, T., Scheffel, M., & Drachsler, H.
- Affiliations
- The Open University (GB)
- OsloMet – Oslo Metropolitan University (NO)
- Open University of the Netherlands (NL)
- Venue
- Journal of Learning Analytics
- Published
- 2016-04-23
- Volume
- 3
- Issue
- 1
- ISSN
- 1929-7750 (ISSN-L)
- OpenAlex
- W2338724223
- Cited by
- 88
- References
- 20
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 7 · 2023: 15 · 2022: 10 · 2021: 17 · 2020: 10 · 2019: 6 · 2018: 3 · 2017: 8 · 2016: 1
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Journal of Learning Analytics (publishedVersion, cc-by-nc-nd)
- Open Research Online (The Open University) (acceptedVersion)
- Cosmopolitan Civil Societies: An Interdisciplinary Journal (University of Technology Sydney) (submittedVersion, cc-by)
- DSpace (Open University in the Netherlands) (submittedVersion)
- Cosmopolitan Civil Societies: An Interdisciplinary Journal (University of Technology Sydney) (submittedVersion, cc-by-nc-nd)
- DSpace (Open University in the Netherlands) (submittedVersion, cc-by-nc-nd)
- DSpace (Open University in the Netherlands) (submittedVersion, other-oa)
- Funders
- European Commission (619424)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Keywords
- learning analytics, ethics, privacy, data protection, ethical frameworks, values in research
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