The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Use of machine learning techniques for educational proposes: a decision support system for forecasting students’ grades
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Theoretical and Empirical Analysis of ReliefF and RReliefF
Robnik-Šikonja, M., & Kononenko, I. (2003) · Machine Learning · doi:10.1023/a:1025667309714 · Cited by 3,025 · cited 1×
“The sequential minimal optimization algorithm (SMO) has been shown to be an effective method for training support vector machines (SVMs) on classification tasks defined on sparse data sets (Platt 1999).”
MethodEducational 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
Cited by
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
RapidMiner: Data Mining Use Cases and Business Analytics Applications
(2016) · Chapman & Hall/CRC eBooks · doi:10.1201/b16023 · Cited by 314
Abu Saa, A., Al-Emran, M., & Shaalan, K. (2019) · Technology, Knowledge and Learning · doi:10.1007/s10758-019-09408-7 · Cited by 229
Artificial intelligence for precision education in radiology
Duong, M. T., Rauschecker, A. M., Rudie, J. D., Chen, P.-H., Cook, T. S., Bryan, R. N., & Mohan, S. (2019) · The British Journal of Radiology · doi:10.1259/bjr.20190389 · Cited by 205
Pliakos, K., Joo, S.-H., Park, J. Y., Cornillie, F., Vens, C., & Van den Noortgate, W. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.04.009 · Cited by 149
Metadata
- Authors
- Kotsiantis, S. B.
- Venue
- Artificial Intelligence Review
- Published
- 2011-05-12
- Volume
- 37
- Issue
- 4
- Pages
- 331-344
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W2049868504
- Cited by
- 243
- References
- 2
- FWCI
- 8.50
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Use of machine learning techniques for educational proposes: a decision support system for forecasting students’ grades. https://app.cochat.ai/papers/10.1007/s10462-011-9234-x
- The paper
- Kotsiantis, S. B. (2012). Use of machine learning techniques for educational proposes: a decision support system for forecasting students’ grades. Artificial Intelligence Review. https://doi.org/10.1007/s10462-011-9234-x
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.
