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dc.rights.licenseReconocimiento-NoComercial 4.0 Internacional. (CC BY-NC)-
dc.contributor.authorAlvarez-Castro, Ignacioes
dc.description.abstractPlan Ceibal is a public policy implemented in Uruguay, it is part of the global initiative One Lap- top per Child (OLPC, 2005). The basic feature is providing every student and teacher in primary school with a laptop or tablet and internet access. Different data sets were combined, students and teachers activities registered in the Learning Management System (LMS) and student’s performance in national standardized tests. Data were used to compute student’s engagement indexes, combining motivation, creativity, velocity and performance. Statistical models were used to determine key drivers of LMS use, this is relevant to define educational policies based on evidence. Models for LMS use are fitted for several regional levels. Additionally, statistical learning methods were fitted to predict student’s performance in national standardized test us- ing as predictor variables different constructed usage indexes from the LMS platform. A major challenge was how to deal with sub-grouping data structure into machine learning algorithms, usually developed for independent observations. Initial results suggest school district is the main driver of the technology usage in the
dc.publisherInternational Conference on Data Science 2023es
dc.rightsAcceso abierto*
dc.subjectEducational data sciencees
dc.subjectLearming managment systemes
dc.subjectStatistical learning methodses
dc.titleStudent performance predictive models using LMS data in Primary Schoolses
dc.typeDocumento de conferenciaes
dc.subject.aniiCiencias Sociales
dc.subject.aniiCiencias de la Educación
dc.anii.institucionresponsableFacultad de Ciencias Económicas y de Administraciónes
dc.anii.institucionresponsableInstituto de Estadisticaes
dc.anii.institucionresponsableUniversidad de la Repúblicaes
dc.anii.institucionresponsableAgencia Nacional de Investigación e Innovaciónes
dc.anii.institucionresponsableFundación Ceibales
dc.anii.subjectcompleto//Ciencias Sociales/Ciencias de la Educaciónes
dc.ceibal.researchlineMonitoreo y evaluaciónes
dc.ceibal.researchtemaEvaluación del aprendizaje y la enseñanza en contextos mediados por tecnologíases
Aparece en las colecciones: Fundación Ceibal

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CEI_IDSC_23.pdfPresentación realizada en la International Conference on Data Science 2023, Santiago de Chile462.85 kBAdobe PDFDescargar

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