EDUCATIONAL DATA ANALYTICS (EDA) AND SCHOOL ADMINISTRATION

 

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Détails bibliographiques
Auteur: Aristizabal F, Jorge Alexánder
Format: artículo original
Statut:Versión publicada
Date de publication:2016
Description:This article stems from the theoretical and methodological framework of the author´s doctoral thesis which researches Educational Data Mining (EDM) onsite in the classroom. The variables studied include teaching strategies, student engagement and evaluation of student learning. School information systems process vast quantities of information including, internal and external evaluations, student attendance, socioeconomic status, meal programs, tardiness, yearly performance, to name a few, all which significantly contribute to informed decision-making at schools.Such information is often stockpiled and stored in obscure files somewhere within the school without ever making any effective use of it. Even worse, important information tends to be underrecorded, thereby jeopordazing any opportunities for academic improvement. The objective of this article is to introduce concepts associated with data analysis in a school context and its contribution to educational management which leads to informed decision-making and the development of action plans.
Pays:Portal de Revistas UCR
Institution:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Langue:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/25499
Accès en ligne:https://revistas.ucr.ac.cr/index.php/gestedu/article/view/25499
Mots-clés:Learning Analytics
Educational Management
Educational Data Mining
Analítica de datos de aprendizaje
gestión educativa
minería de datos educativos