The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Applying Data Mining Techniques to e-Learning Problems
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Citations
Cites
Brusilovsky, P. (2001) · User Modeling and User-Adapted Interaction · doi:10.1023/a:1011143116306 · Cited by 2,057
Synthesis and analysis of automatic assessment methods in CS1: generating intelligent MCQs
Traynor, D., & Gibson, J. P. (2005) · ACM SIGCSE Bulletin · doi:10.1145/1047124.1047502 · Cited by 21
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
Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies
Cope, B., Kalantzis, M., & Searsmith, D. (2021) · Educational Philosophy and Theory · doi:10.1080/00131857.2020.1728732 · Cited by 518
RapidMiner: Data Mining Use Cases and Business Analytics Applications
(2016) · Chapman & Hall/CRC eBooks · doi:10.1201/b16023 · Cited by 314
Prediction of students’ early dropout based on their interaction logs in online learning environment
Mubarak, A. A., Cao, H., & Zhang, W. (2022) · Interactive Learning Environments · doi:10.1080/10494820.2020.1727529 · Cited by 170
Personalisation methods in e-learning-A literature review
Mikić, V., Ilić, M., Kopanja, L., & Vesin, B. (2022) · Computer Applications in Engineering Education · doi:10.1002/cae.22566 · Cited by 39
Metadata
- Authors
- Castro, F., Vellido, A., Nebot, À., & Mugica, F.
- Venue
- Studies in Computational Intelligence
- Publisher
- Springer Berlin Heidelberg
- Published
- 2007
- Pages
- 183-221
- ISSN
- 1860-949X (ISSN-L)
- 1860-9503
- OpenAlex
- W157299254
- Cited by
- 276
- References
- 2
- FWCI
- 43.59
- Type
- book chapter
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Applying Data Mining Techniques to e-Learning Problems. https://app.cochat.ai/papers/10.1007/978-3-540-71974-8_8
- The paper
- Castro, F., Vellido, A., Nebot, À., & Mugica, F. (2007). Applying Data Mining Techniques to e-Learning Problems. Studies in Computational Intelligence. https://doi.org/10.1007/978-3-540-71974-8_8
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.
