| Title |
Švietimo duomenų tyryba: apžvalga ir tyrimų kryptys / |
| Translation of Title |
Educational data mining: overview and research trends. |
| Authors |
Stumbrienė, Dovilė ; Jakaitienė, Audronė |
| DOI |
10.15388/LMR.B.2015.08 |
| Full Text |
|
| Is Part of |
Lietuvos matematikos rinkinys: LMD darbai. Ser. B.. Vilnius : Matematikos ir informatikos institutas. 2015, T. 56, p. 41-45.. ISSN 0132-2818 |
| Keywords [eng] |
data mining ; education ; clustering ; classification ; regression |
| Abstract [eng] |
The article presents a systematic literature review about t he most commonly used data sources and data mining methods in education. International database W eb of Science was selected. Excluding short conference proceedings and articles without empiric al data, 14 papers were analyzed in detail. It was obtained that the most explored databases of learners consisted of subjects evaluation results together with contextual information. Classification meth ods were the most commonly used; to a lesser extent regression analysis and clustering. An educa tional data mining research overview in Lithuania ends the article. |
| Published |
Vilnius : Matematikos ir informatikos institutas |
| Type |
Journal article |
| Language |
Lithuanian |
| Publication date |
2015 |
| CC license |
|
