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Data-driven decision making as a model to improve in primary education

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dc.contributor.authorAthanatou, Maria
dc.contributor.authorPrendes Espinosa, María Paz
dc.contributor.authorGutiérrez Porlán, Isabel
dc.contributor.departmentDidáctica y Organización Escolar
dc.contributor.otherFacultad de Educación
dc.coverage.spatialGrecia
dc.date.accessioned2026-01-23T11:38:31Z
dc.date.available2026-01-23T11:38:31Z
dc.date.copyright© 2023 by the authors
dc.date.issued2023-01-02
dc.description.abstractThe digital evaluation field is a new area that arises in the core of education and studies highlight the importance of editing data as well as using ICT to drive internal school improvement. Data- Driven Decision Making (DDDM in advance) executes relatively simple models on carefully targeted data extracted through target questionnaires. This article contributes to the creation of a DDDM plan that considers the evaluation of a primary school in Greece. The research design is based on the DigCompOrg model and uses a quantitative technique through a questionnaire. The results presented include the analysis of the teaching team. Extracted data enabled the researchers to identify the requirements that the specific school must meet in order to proceed with self-evaluation in its digitalization process. The percentage results for teachers’ self-perception of ICT use in lessons, teachers’ digital competence, digital content use, pedagogical evaluation, digital communication with parents and digital support of school leadership indicated that significant changes in ICT integration continue to occur in the specific primary school, ICT culture and most of its components. For these reasons, this article presents a proposal for a DDDM theoretical model plan for primary school improvement presented at the end.
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dc.format.extent7
dc.identifier.citationMaria, A., Maria Paz, P. E., & Isabel, G. P. (2023). Data-driven decision making as a model to improve in primary education. Journal of Education and E-Learning Research, 10(1), 36–42. 10.20448/jeelr.v10i1.4337
dc.identifier.doihttps://doi.org/10.20448/jeelr.v10i1.4337
dc.identifier.eissn2410-9991
dc.identifier.issn2518-0169
dc.identifier.urihttp://hdl.handle.net/10201/192009
dc.languageeng
dc.publisherAsian Online Journal Publishing Group
dc.relationSin financiación externa a la Universidad
dc.relation.publisherversionhttps://asianonlinejournals.com/index.php/JEELR/article/view/4337
dc.rightsAttribution 4.0 International*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectCompetencias
dc.subjectEvaluación
dc.subjectEducación
dc.subjectData driven decision making
dc.subjectDigCompOrg
dc.subjectICT competence
dc.subjectPrimary school
dc.subjectSchool improvement
dc.subjectSelf-evaluation
dc.subject.odsObjetivo 4: Educación
dc.titleData-driven decision making as a model to improve in primary education
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublicationes
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relation.isAuthorOfPublication71493f0c-476d-4511-94ee-b8d5c5c02e53
relation.isAuthorOfPublication.latestForDiscoveryc253c21e-d84f-44d3-9f58-29630fc579fd
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