Mate Marote: a flexible automated framework for large-scale educational interventions

Autores
Lopez Rosenfeld, Matías; Goldin, Andrea Paula; Lipina, Sebastián Javier; Sigman, Mariano; Fernandez Slezak, Diego
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
There is big consensus that computer games may be an effective way of learning and many initiatives are being developed where aspects from cognitive sciences are being applied in the development of these games. In this article, we present Mate Marote, a flexible framework for large-scale educational interventions. Based on the delivery programs of computers to each student in Argentinian schools, we developed an environment that provides activities/games and registers usage statistics. This framework keeps installation up-to-date connecting with a central server as Internet connection is detected, synchronizing new activities, version updates and usage history. As a first testbed intervention, we deployed three games in La Rioja province (Argentina), where OLPC is the official program. These games were focused on training inhibitory control, working memory and planning skills. We found that usage statistics of games replicate previous results found at the laboratory, showing that this platform works as an intervention framework despite its unsupervised nature.
Fil: Lopez Rosenfeld, Matías. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación. Laboratorio de Inteligencia Artificial Aplicada; Argentina
Fil: Goldin, Andrea Paula. Centro de Educación Médica e Investigación Clínica; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad Torcuato Di Tella; Argentina
Fil: Lipina, Sebastián Javier. Centro de Educación Médica e Investigación Clínica; Argentina. Universidad Nacional de San Martín; Argentina
Fil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad Torcuato Di Tella; Argentina
Fil: Fernandez Slezak, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación. Laboratorio de Inteligencia Artificial Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
CHILDREN
COGNITIVE TRAINING
COMPUTER GAMES
EDUCATIONAL NEUROSCIENCE
EXECUTIVE FUNCTIONS
OLPC
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/2364
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/2364
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Mate Marote: a flexible automated framework for large-scale educational interventionsLopez Rosenfeld, MatíasGoldin, Andrea PaulaLipina, Sebastián JavierSigman, MarianoFernandez Slezak, DiegoCHILDRENCOGNITIVE TRAININGCOMPUTER GAMESEDUCATIONAL NEUROSCIENCEEXECUTIVE FUNCTIONSOLPChttps://purl.org/becyt/ford/5.3https://purl.org/becyt/ford/5https://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5https://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3There is big consensus that computer games may be an effective way of learning and many initiatives are being developed where aspects from cognitive sciences are being applied in the development of these games. In this article, we present Mate Marote, a flexible framework for large-scale educational interventions. Based on the delivery programs of computers to each student in Argentinian schools, we developed an environment that provides activities/games and registers usage statistics. This framework keeps installation up-to-date connecting with a central server as Internet connection is detected, synchronizing new activities, version updates and usage history. As a first testbed intervention, we deployed three games in La Rioja province (Argentina), where OLPC is the official program. These games were focused on training inhibitory control, working memory and planning skills. We found that usage statistics of games replicate previous results found at the laboratory, showing that this platform works as an intervention framework despite its unsupervised nature.Fil: Lopez Rosenfeld, Matías. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación. Laboratorio de Inteligencia Artificial Aplicada; ArgentinaFil: Goldin, Andrea Paula. Centro de Educación Médica e Investigación Clínica; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad Torcuato Di Tella; ArgentinaFil: Lipina, Sebastián Javier. Centro de Educación Médica e Investigación Clínica; Argentina. Universidad Nacional de San Martín; ArgentinaFil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad Torcuato Di Tella; ArgentinaFil: Fernandez Slezak, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación. Laboratorio de Inteligencia Artificial Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier2013-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/2364Lopez Rosenfeld, Matías; Goldin, Andrea Paula; Lipina, Sebastián Javier; Sigman, Mariano; Fernandez Slezak, Diego; Mate Marote: a flexible automated framework for large-scale educational interventions; Elsevier; Computers and Education; 68; 10-2013; 307-3130360-1315enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.compedu.2013.05.018info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0360131513001462info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:46:18Zoai:ri.conicet.gov.ar:11336/2364instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:46:18.464CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Mate Marote: a flexible automated framework for large-scale educational interventions
title Mate Marote: a flexible automated framework for large-scale educational interventions
spellingShingle Mate Marote: a flexible automated framework for large-scale educational interventions
Lopez Rosenfeld, Matías
CHILDREN
COGNITIVE TRAINING
COMPUTER GAMES
EDUCATIONAL NEUROSCIENCE
EXECUTIVE FUNCTIONS
OLPC
title_short Mate Marote: a flexible automated framework for large-scale educational interventions
title_full Mate Marote: a flexible automated framework for large-scale educational interventions
title_fullStr Mate Marote: a flexible automated framework for large-scale educational interventions
title_full_unstemmed Mate Marote: a flexible automated framework for large-scale educational interventions
title_sort Mate Marote: a flexible automated framework for large-scale educational interventions
dc.creator.none.fl_str_mv Lopez Rosenfeld, Matías
Goldin, Andrea Paula
Lipina, Sebastián Javier
Sigman, Mariano
Fernandez Slezak, Diego
author Lopez Rosenfeld, Matías
author_facet Lopez Rosenfeld, Matías
Goldin, Andrea Paula
Lipina, Sebastián Javier
Sigman, Mariano
Fernandez Slezak, Diego
author_role author
author2 Goldin, Andrea Paula
Lipina, Sebastián Javier
Sigman, Mariano
Fernandez Slezak, Diego
author2_role author
author
author
author
dc.subject.none.fl_str_mv CHILDREN
COGNITIVE TRAINING
COMPUTER GAMES
EDUCATIONAL NEUROSCIENCE
EXECUTIVE FUNCTIONS
OLPC
topic CHILDREN
COGNITIVE TRAINING
COMPUTER GAMES
EDUCATIONAL NEUROSCIENCE
EXECUTIVE FUNCTIONS
OLPC
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.3
https://purl.org/becyt/ford/5
https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv There is big consensus that computer games may be an effective way of learning and many initiatives are being developed where aspects from cognitive sciences are being applied in the development of these games. In this article, we present Mate Marote, a flexible framework for large-scale educational interventions. Based on the delivery programs of computers to each student in Argentinian schools, we developed an environment that provides activities/games and registers usage statistics. This framework keeps installation up-to-date connecting with a central server as Internet connection is detected, synchronizing new activities, version updates and usage history. As a first testbed intervention, we deployed three games in La Rioja province (Argentina), where OLPC is the official program. These games were focused on training inhibitory control, working memory and planning skills. We found that usage statistics of games replicate previous results found at the laboratory, showing that this platform works as an intervention framework despite its unsupervised nature.
Fil: Lopez Rosenfeld, Matías. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación. Laboratorio de Inteligencia Artificial Aplicada; Argentina
Fil: Goldin, Andrea Paula. Centro de Educación Médica e Investigación Clínica; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad Torcuato Di Tella; Argentina
Fil: Lipina, Sebastián Javier. Centro de Educación Médica e Investigación Clínica; Argentina. Universidad Nacional de San Martín; Argentina
Fil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad Torcuato Di Tella; Argentina
Fil: Fernandez Slezak, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación. Laboratorio de Inteligencia Artificial Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description There is big consensus that computer games may be an effective way of learning and many initiatives are being developed where aspects from cognitive sciences are being applied in the development of these games. In this article, we present Mate Marote, a flexible framework for large-scale educational interventions. Based on the delivery programs of computers to each student in Argentinian schools, we developed an environment that provides activities/games and registers usage statistics. This framework keeps installation up-to-date connecting with a central server as Internet connection is detected, synchronizing new activities, version updates and usage history. As a first testbed intervention, we deployed three games in La Rioja province (Argentina), where OLPC is the official program. These games were focused on training inhibitory control, working memory and planning skills. We found that usage statistics of games replicate previous results found at the laboratory, showing that this platform works as an intervention framework despite its unsupervised nature.
publishDate 2013
dc.date.none.fl_str_mv 2013-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/2364
Lopez Rosenfeld, Matías; Goldin, Andrea Paula; Lipina, Sebastián Javier; Sigman, Mariano; Fernandez Slezak, Diego; Mate Marote: a flexible automated framework for large-scale educational interventions; Elsevier; Computers and Education; 68; 10-2013; 307-313
0360-1315
url http://hdl.handle.net/11336/2364
identifier_str_mv Lopez Rosenfeld, Matías; Goldin, Andrea Paula; Lipina, Sebastián Javier; Sigman, Mariano; Fernandez Slezak, Diego; Mate Marote: a flexible automated framework for large-scale educational interventions; Elsevier; Computers and Education; 68; 10-2013; 307-313
0360-1315
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compedu.2013.05.018
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0360131513001462
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613446583189504
score 13.070432

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