Supervisión 21

SUPERVISIÓN 21

ISSN 1886-5895 | NO APC

Vol. 57 No. 57 (2020): Nº 57- JULIO 2020
ARTÍCULOS

MINERÍA DE DATOS EDUCATIVOS: UNA PROPUESTA DE INNOVACIÓN EN LA INSPECCIÓN EDUCATIVA.

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  • José Francisco Álvarez Aguilar,
José Francisco Álvarez Aguilar
Bio

Published 2022-03-29

Keywords

  • Inspection function, educational data mining, school failure prediction.

How to Cite

MINERÍA DE DATOS EDUCATIVOS: UNA PROPUESTA DE INNOVACIÓN EN LA INSPECCIÓN EDUCATIVA. (2022). Supervisión 21, 57(57), 8. https://supervision21.usie.es/index.php/Sp21/article/view/480

Abstract

The objective of this work is to present the different ways of obtaining prediction models based on educational data using data mining techniques in order to try to predict school failure in early stages, proposing, in turn, to the Educational Inspectorate the possibility of using these models in order to be able to give advice in sufficient time to educational centers where possible school failures are detected.

IMG (Spanish) PDF (Spanish)

References