The DOI matches its Crossref record.
OECD Digital Education Outlook 2023: Towards an Effective Digital Education Ecosystem
Overview
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
“Research has demonstrated that algorithmic bias is a problem for algorithms used in education (OECD, 2023).”
From Artificial Intelligence in Education: Implications for Policymakers, Researchers, and Practitioners (2024) · cites this paper as OECD, 2023
Citations
Cited by
Sorted by citations
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
Educational Research and Innovation
OECD, & Centre for Educational Research and Innovation (2009) · Educational research and innovation · doi:10.1787/20769679 · Cited by 129
Self-citationZhu, H., Sun, Y., & Yang, J. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-05252-6 · Cited by 165
International Summit on the Teaching Profession
OECD (2014) · International Summit on the Teaching Profession · doi:10.1787/23127090 · Cited by 55
Self-citationWarr, M., & Heath, M. K. (2025) · Journal of Teacher Education · doi:10.1177/00224871251325073 · Cited by 35
Metadata
- Authors
- OECD
- Corresponding author
- OECD
- Venue
- OECD Digital Education Outlook
- Publisher
- OECD Publishing
- Published
- 2023-12-13
- ISSN
- 2788-8568 (ISSN-L)
- 2788-8576
- OpenAlex
- W4389676988
- Cited by
- 385
- References
- 0
- Citations by year
- 2026: 270 · 2025: 67 · 2024: 45
- FWCI
- 129.38
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Digital education outlook (publishedVersion)
- Topics
- Social Sciences › Education › Digital Transformation of Higher Education
- Social Sciences › Education › Digital Education and Society
- Social Sciences › Political Science and International Relations › Global Educational Policies and Reforms
- Keywords
- digital education, educational technology, online learning, digital skills, education policy, OECD countries
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 ›
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