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dc.contributor.authorTopali, Paraskevi 
dc.contributor.authorVillagrá Sobrino, Sara Lorena 
dc.contributor.authorMartínez Monés, Alejandra 
dc.date.accessioned2019-10-23T11:06:31Z
dc.date.available2019-10-23T11:06:31Z
dc.date.issued2019
dc.identifier.citationEC-TEL 2019: 14th European Conference on Technology Enhanced Learning: Doctoral Consortium. CEUR Workshop Proceedings, 2019 (in press)es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/38695
dc.descriptionProducción Científicaes
dc.description.abstractMassive Open Online Courses (MOOCs) learners often face problems that can result to dropout when proper and timely support is not received. In traditional classrooms, teachers can monitor learners’ progress and assist them timely. Yet in MOOCs, the massiveness and diversity of the learning population and the instructors’ high workload make impossible the assistance of each learner separately. The early identification of learners’ facing difficulties could facilitate instructors manage their limited time by assisting them and preventing a possible dropout. So far, techniques based on automatic predictive models are commonly applied to identify critical cohort of learners in these contexts. However, the existing research has several limitations that hinder the identification and support of those learners really involved in the course. The present doctoral thesis aims to address the issue of how to help MOOC instructors to identify and support learners facing difficulties during the course runtime. This paper presents a brief motivation, the general thesis’ schema including the objectives and envisioned contributions, the methodology followed and the current state of the thesis.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherSpringeres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.classificationMOOCes
dc.titleTargeting Struggling Learners in MOOCs: Instructors in the Loopes
dc.title.alternativeECTEL Doctoral Consortium 2019es
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.rights.holder© 2019 Springeres
dc.relation.publisherversionhttp://ceur-ws.org/es
dc.title.eventEC-TEL 2019: 14th European Conference on Technology Enhanced Learning: Doctoral Consortiumes
dc.description.projectMinisterio de Ciencia, Innovación y Univerisades (project grant TIN2017-85179-C3-2-R and TIN2014-53199-C3-2-R)es
dc.description.projectJunta de Castilla y León (programa de apoyo a proyectos de investigación - Ref. Project VA257P18)es
dc.description.projectEuropean Commission under project grant 588438-EPP-1-2017-1-EL-EPPKA2-KAes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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