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dc.rights.licenseReconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)es
dc.contributor.authorCobo, Cristóbales
dc.contributor.authorBrovetto, Claudiaes
dc.contributor.authorGago, Fiorellaes
dc.date.accessioned2016-12-21T18:21:21Z
dc.date.accessioned2020-10-28T19:26:17Z
dc.date.accessioned2021-09-07T19:02:52Z-
dc.date.available2016-12-21T18:21:21Z
dc.date.available2020-10-28T19:26:17Z
dc.date.available2021-09-07T19:02:52Z-
dc.date.issued2016-05
dc.identifier.citationCobo, C; Brovetto, C, Gago, F. (2016). A global Network for Deep Learning: The case of Uruguay". En: Digital Inclusion: Transforming Education Through Technology. pp 71-82. Office for Digital Learning/MIT. Massachusetts, USA.es
dc.identifier.urihttps://hdl.handle.net/20.500.12381/417-
dc.description.abstractThe aim of this paper is to describe an innovative large-scale action research in the field of education. This paper illustrates a unique sample of a global network of schools working together as a "living lab" to test, implement and improve innovative pedagogical practices in seven different countries (clusters). This experience can be regarded as a disruptive experiment from the methodological (i.e. network of schools), pedagogical (i.e. learning by creating) and accountability perspective (i.e. novel ways of assessing learning outcomes). This global network allocates special relevance to the cultural and contextual specificities of each member. This paper focuses on the Uruguayan case, the only non-developed partner country, which is working in incorporating up to 2,800 schools in this global network by the end of 2019. After providing a background and key figures of the current education system in Uruguay, the authors describe the outcomes of this experience so far (2013- 2016) and highlight some of the expected achievements and instruments to assess the second phase of this experience (2016-2019), with special emphasis in the design of new metrics and the adoption of new assessment tools. After stating the conclusions, the paper points out the limitations and further questions to be explored along the implementation of this global experiment in education.es
dc.description.sponsorshipOffice of Digital Learning/MIT, FUJITSU, MIT Open Course Ware/MITes
dc.format.extentpp. 71-82es
dc.language.isoenges
dc.publisherOffice of Digital Learning/MITes
dc.rightsAcceso abiertoes
dc.sourceDigital Inclusion: Transforming Education Through Technologyes
dc.subjectNew Pedagogies for Deep Learninges
dc.subjectEducational innovationes
dc.subjectCase studyes
dc.subjectNuevas Pedagogías de Aprendizaje Profundoes
dc.subjectInnovación educativaes
dc.subjectEstudio de casoes
dc.titleA Global Network for Deep Learning: the Case of Uruguayes
dc.typeArtículoes
dc.subject.aniiCiencias Sociales-
dc.subject.aniiCiencias de la Educación-
dc.type.versionEnviadoes
dc.ceibal.researchlineNuevas formas de conocer, aprender, enseñar y evaluares
dc.ceibal.researchlineLogros ampliados en el aprendizajees
dc.subject.ceibalEstrategias de aprendizajees
dc.subject.ceibalEstudio de casoes
Aparece en las colecciones: Fundación Ceibal

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