A Global Network for Deep Learning: the Case of Uruguay

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Título

A Global Network for Deep Learning: the Case of Uruguay

Descripción

New Pedagogies for Deep Learning, Educational innovation, Case study, Nuevas Pedagogías de Aprendizaje Profundo, Innovación educativa, Estudio de caso

Resumen

The 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.

Fecha de publicación

2016-05

Tipo de documento

Original journal article

Citación

Cobo, 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.
Autor
GAGO, Fiorella-
Fecha de lazamiento
2016-12-21T18:21:21Z-
Fecha de publicación
2016-12-21T18:21:21Z-
Año de publicación
2016-05-
Ficha tecnica
Cobo, 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.
URL
http://docentes.aprende.edu.mx/desarrollo-profesional-tic/itemDigital/22/index.html
Descripción corta
New Pedagogies for Deep Learning, Educational innovation, Case study, Nuevas Pedagogías de Aprendizaje Profundo, Innovación educativa, Estudio de caso
Descripción
The 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.
dc_description_sponsorship
Office of Digital Learning/MIT, FUJITSU, MIT Open Course Ware/MIT
Número de paginas
pp. 71-82
Lenguaje
en
Editorial
Office of Digital Learning/MIT
dc_relation_ispartof
Digital Inclusion: Transforming Education Through Technology
Categoría
ESTUDIO DE CASOS
Título
A Global Network for Deep Learning: the Case of Uruguay
Tipo
Original journal article
Estatus
Submitted
Palabras clave
Extended learning achievements
Aparece en las colecciones
Colección Digital Fundación Ceibal

Aliados estratégicos