Learning analytics to improve student low-performance in Mathematics

dc.creator	Coronado Hijón, Antonio	es
dc.date.accessioned	2021-05-13T07:34:51Z
dc.date.available	2021-05-13T07:34:51Z
dc.date.issued	2021
dc.identifier.citation	Coronado Hijón, A. (2021). Learning analytics to improve student low-performance in Mathematics. https://hdl.handle.net/11441/108961.
dc.identifier.uri	https://hdl.handle.net/11441/108961
dc.description.abstract	The identification and dimensionalization of specific errors from a criterial and formative evaluation, must be based on the methodology of systematic observation and valid and reliable learning analytics available for use by teachers.	es
dc.format	application/pdf	es
dc.format.extent	3	es
dc.language.iso	eng	es
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Learning analytics to identify and dimension arithmetic errors	es
dc.title	Learning analytics to improve student low-performance in Mathematics	es
dc.type	info:eu-repo/semantics/report	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Métodos de Investigación y Diagnóstico en Educación	es
dc.contributor.group	HUM561: INVESTIGACION SUROESTE	es
dc.publication.endPage	3	es

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