Predicting and preventing student failure - using the k-nearest neighbour method to predict student performance in an online course environment
| Contribuinte(s) |
University of Helsinki, Department of Computer Science |
|---|---|
| Data(s) |
2010
|
| Formato |
12 |
| Identificador |
http://hdl.handle.net/10138/26093 1477-8386 |
| Idioma(s) |
eng |
| Publicador |
INDERSCIENCE PUBLISHERS |
| Relação |
International Journal of Learning Technology |
| Direitos |
The Journal permits the Author to use his/her article elsewhere, after the date of its publication in the Journal, in other works or for the purposes of the Author's teaching and research. Full acknowledgement in the form of a full citation must be given to the Journal as the original source of publication, together with a link to the Journal web page and/or DOI. In addition, the Author may post a postprint of the Article (defined as the Author's post-peer review, accepted paper submitted for final publication by Inderscience) on the author's personal web pages or in a repository operated by the institution to which the Author is affiliated. In all cases, full acknowledgement as stated above must be given to the Journal as the original source of publication |
| Fonte |
Tanner , T & Toivonen , H 2010 , ' Predicting and preventing student failure - using the k-nearest neighbour method to predict student performance in an online course environment ' International Journal of Learning Technology , vol 5 , no. 4 , pp. 356-377 . , 10.1504/IJLT.2010.038772 |
| Palavras-Chave | #113 Computer and information sciences |
| Tipo |
A1 Refereed journal article info:eu-repo/semantics/article http://purl.org/eprint/status/NonPeerReviewed |
