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dc.contributor.authorRodríguez Triana, María Jesús
dc.contributor.authorPrieto, Luis P.
dc.contributor.authorDimitriadis Damoulis, Ioannis 
dc.contributor.authorDe Jong, Ton
dc.contributor.authorGillet, Denis
dc.date.accessioned2021-10-19T12:21:43Z
dc.date.available2021-10-19T12:21:43Z
dc.date.issued2021
dc.identifier.citationJournal of Learning Analytics, 2021, vol. 8, n. 2. p. 22-50es
dc.identifier.issn1929-7750es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/49173
dc.descriptionProducción Científicaes
dc.description.abstractOrchestrating technology-enhanced learning is a difficult task, especially in demanding pedagogical approaches like inquiry-based learning (IBL). To foster effective teacher adoption, both the complexity of designing IBL activities and the uncertainty about the student learning path during enactment need to be addressed. Previous research suggests that aligning learning design and learning analytics can be an effective way to provide such orchestration support. This paper reports on a design-based research (DBR) project to explore teachers’ orchestration needs in Go-Lab (a technological ecosystem for IBL used by thousands of primary and secondary school teachers around the world), and on how solutions that align learning design and analytics can fulfill such needs. The analysis of data from multiple events (including surveys, case studies, workshops with teachers, and platform usage analyses) led to a catalogue of IBL orchestration needs that can be tackled by aligning learning design and analytics, as well as a list of guidelines for technology development aiming to support IBL orchestration. These two contributions can support the creation of future learning analytics–enhanced IBL environments that are both pedagogically grounded and usable by teachers in authentic settings.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherSociety for Learning Analytics Researches
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/*
dc.subject.classificationLearning designes
dc.subject.classificationDiseño instruccionales
dc.subject.classificationInquiry-based learninges
dc.subject.classificationAprendizaje reflexivoes
dc.subject.classificationOrchestrationes
dc.subject.classificationOrquestaciónes
dc.subject.classificationTechnology-enhanced learninges
dc.subject.classificationAprendizaje potenciado por la tecnologíaes
dc.titleADA for IBL: Lessons Learned in Aligning Learning Design and Analytics for Inquiry-Based Learning Orchestrationes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2021 Society for Learning Analytics Researches
dc.identifier.doi10.18608/jla.2021.7357es
dc.relation.publisherversionhttps://www.learning-analytics.info/index.php/JLA/article/view/7357es
dc.peerreviewedSIes
dc.description.projectFondo Europeo de Desarrollo Regional - Agencia Nacional de Investigación (grants TIN2017-85179-C3-2-R and PID2020-112584RB-C32)es
dc.description.projectFondo Europeo de Desarrollo Regional - Junta de Castilla y León (grant VA257P18)es
dc.description.projectUnión Europea (grant 317601)es
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/731685
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/781012
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/669074
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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