Literaturnachweis - Detailanzeige
Autor/inn/en | Villanueva Manjarres, Andrés; Moreno Sandoval, Luis Gabriel; Salinas Suárez, Martha Janneth |
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Titel | Data Mining Techniques Applied in Educational Environments: Literature Review |
Quelle | In: Digital Education Review, (2018) 33, S.235-266 (32 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 2013-9144 |
Schlagwörter | Information Retrieval; Data Analysis; Educational Environment; Research Methodology; Problem Solving; Classification; Data Processing; Educational Research; Decision Making; Correlation; Regression (Statistics); Markov Processes; Bayesian Statistics; Literature Reviews Auswertung; Lernumgebung; Pädagogische Umwelt; Schulumwelt; Research method; Forschungsmethode; Problemlösen; Classification system; Klassifikation; Klassifikationssystem; Datenverarbeitung; Bildungsforschung; Pädagogische Forschung; Decision-making; Entscheidungsfindung; Korrelation; Regression; Regressionsanalyse; Markowscher Prozess |
Abstract | Educational Data Mining is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students' behavior, interests and results in a better way. In recent years there have been various works related to this specialty and multiple data mining techniques derived from this to address different educational problems have been used. The aim of this paper is to present a review of the works in which data mining techniques were used to solve specific problems of education and to do a classification associated to diverse scenarios in which they have been applied. (As Provided). |
Anmerkungen | Universitat de Barcelona. Passeig de la Vall d'Hebron 171, Edifici Llevant P3, Barcelona, 08035 Spain. e-mail: der@greav.net; Web site: http://revistes.ub.edu/index.php/der |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |