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A preliminary proposal of a conceptual Educational Data Mining framework for Science Education: Scientific competences development and self-regulated learning

2017Journal article Open access
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dc.contributor.authorTavares, Rita
dc.contributor.authorVieira, Rui
dc.contributor.authorPedro, Luís
dc.date.accessioned2020-06-29T11:48:45Z
dc.date.available2020-06-29T11:48:45Z
dc.date.issued2017
dc.description.abstractThe present paper is part of a wider study, focussed on the development of a digital educational resource for Science Education in primary school, integrating an Educational Data Mining framework. The proposed conceptual framework aims to infer the impact of the adopted learning approach for the development of scientific competences and students’ self-regulated learning. Thus, students’ exploration of learning sequences and students' behaviour towards available help, formative feedback and recommendations will be analysed. The framework derives from the proposed learning approach, as well as from the literature review. Before introducing it, the authors present an overview of the digital educational resource learning approach and the adopted Educational Data Mining methods. Finally, we present the proposed conceptual Educational Data Mining framework for Science Education, focussing its relevance on the development of students' scientific competences and self-regulated learning.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTavares, R., Vieira, R., Pedro, L. (2017) A preliminary proposal of a conceptual Educational Data Mining framework for Science Education: Scientific competences development and self-regulated learning in Ponte, C., Dodero, J. M., Silva, M. J. (2017) Atas do XIX Simpósio Internacional de Informática Educativa e VIII Encontro do CIED – III Encontro Internacional. (216-221) Lisboa: CIED – Centro Interdisciplinar de Estudos Educacionaispt_PT
dc.identifier.issn978-989-95733-9-0
dc.identifier.urihttp://hdl.handle.net/10400.21/11961
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCIED – Centro Interdisciplinar de Estudos Educacionaispt_PT
dc.relation.publisherversionhttps://www.eselx.ipl.pt/sites/default/files/media/2017/siie-cied_2017_atas-compressed.pdfpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEducational data miningpt_PT
dc.subjectLatent knowledge estimationpt_PT
dc.subjectCausal data miningpt_PT
dc.subjectDomain structure discoverypt_PT
dc.subjectDigital educational resourcespt_PT
dc.subjectScientific competencespt_PT
dc.subjectSelfregulated learningpt_PT
dc.titleA preliminary proposal of a conceptual Educational Data Mining framework for Science Education: Scientific competences development and self-regulated learningpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboapt_PT
oaire.citation.endPage221pt_PT
oaire.citation.startPage216pt_PT
oaire.citation.titleAtas do XIX Simpósio Internacional de Informática Educativa e VIII Encontro do CIED – III Encontro Internacionalpt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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