The DOI matches its OpenAlex record.
The State of Educational Data Mining in 2009: A Review and Future Visions
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Citations
Cited by
Educational Data Mining: A review of the state of the art
Romero, C., & Ventura, S. (2010) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2010.2053532 · Cited by 2,251
Learning Analytics: The Emergence of a Discipline
Siemens, G. (2013) · American Behavioral Scientist · doi:10.1177/0002764213498851 · Cited by 1,284
Application and theory gaps during the rise of artificial intelligence in education
Chen, X., Xie, H., Zou, D., & Hwang, G.-J. (2020) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2020.100002 · Cited by 1,003
Romero, C., & Ventura, S. (2013) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1075 · Cited by 869
A reference model for learning analytics
Chatti, M. A., Dyckhoff, A. L., Schroeder, U., & Thüs, H. (2012) · International Journal of Technology Enhanced Learning · doi:10.1504/ijtel.2012.051815 · Cited by 702
Metadata
- Authors
- Baker, R. S. J. D., & Yacef, K.
- Venue
- Journal of Educational Data Mining
- Published
- 2009-10-01
- ISSN
- 2157-2100 (ISSN-L)
- OpenAlex
- W6893704514
- Cited by
- 1,359
- References
- 0
- FWCI
- 98.34
- Type
- journal article
- Language
- en
- Open access
- diamond
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The State of Educational Data Mining in 2009: A Review and Future Visions. https://app.cochat.ai/papers/10.5281/zenodo.3554657
- The paper
- Baker, R. S. J. D., & Yacef, K. (2009). The State of Educational Data Mining in 2009: A Review and Future Visions. Journal of Educational Data Mining. https://doi.org/10.5281/zenodo.3554657
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
