The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions

Autores
Vladisauskas, Melina; Paz, Gabriel Osvaldo; Nin, Verónica; Guillén, Jesús A.; Belloli, Laouen Mayal Louan; Delgado, Hernán; Miguel, Martín Alejandro; Macario Cabral, Daniela; Shalóm, Diego Edgar; Forés, Anna; Carboni, Alejandra; Fernandez Slezak, Diego; Goldin, Andrea Paula
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Mate Marote is an open-access cognitive training software aimed at children between 4 and 8 years old. It consists of a set of computerized games specifically tailored to train and evaluate Executive Functions (EF), a class of processes critical for purposeful, goal-directed behavior, including working memory, planning, flexibility, and inhibitory control. Since 2008, several studies were performed with this software at children’s own schools in interventions supervised in-person by cognitive scientists. After 2015, we incorporated naturalistic, yet controlled, interventions with children’s own teachers’ help. The platform includes a battery of standardized tests, disguised as games, to assess children’s EF. The main question that emerges is whether the results, obtained withthese traditional tasks but conducted without the presence of researchers, are comparable to those widely reported in the literature, that were obtained in more supervised settings. In this study, we were able to replicate the expected difficulty and age effects in at least one of the analyzed dependent variables of each employed test. We also report important discrepancies between the expected and the observed response time patterns, specifically for time-constrained tasks. We hereby discuss the benefits and setbacks of a new possible strategy for this type of assessment in naturalistic settings.We conclude that this battery of established EF tasks adapted for its remote usage is appropriate to measure the expected mental processes in naturalistic settings, enriching opportunities to upscale cognitive training interventions at schools. These types of tools can constitute a concerted strategy to bring together educational neuroscience research and real-life practice.
Fil: Vladisauskas, Melina. LABORATORIO DE NEUROCIENCIA ; UNIVERSIDAD TORCUATO DI TELLA; . Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Paz, Gabriel Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. LABORATORIO DE NEUROCIENCIA ; UNIVERSIDAD TORCUATO DI TELLA;
Fil: Nin, Verónica. Universidad de la República; Uruguay
Fil: Guillén, Jesús A.. Universidad de Barcelona; España
Fil: Belloli, Laouen Mayal Louan. 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
Fil: Delgado, Hernán. Universidad de la República; Uruguay
Fil: Miguel, Martín Alejandro. 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
Fil: Macario Cabral, Daniela. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación. Laboratorio de Inteligencia Artificial Aplicada; Argentina
Fil: Shalóm, Diego Edgar. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Forés, Anna. Universidad de Barcelona; España
Fil: Carboni, Alejandra. Universidad de la República; Uruguay
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
Fil: Goldin, Andrea Paula. LABORATORIO DE NEUROCIENCIA ; UNIVERSIDAD TORCUATO DI TELLA; . Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
CHILDREN
TRANSFER
VIDEOGAMES
COGNITIVE TRAINING
SCHOOLS
CHILD-ANT
HEART–FLOWER STROOP TASK
CORSI BLOCKS
TONI
TOWER OF LONDON
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/230840
Acceder
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network_name_str CONICET Digital (CONICET)
spelling The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic InterventionsVladisauskas, MelinaPaz, Gabriel OsvaldoNin, VerónicaGuillén, Jesús A.Belloli, Laouen Mayal LouanDelgado, HernánMiguel, Martín AlejandroMacario Cabral, DanielaShalóm, Diego EdgarForés, AnnaCarboni, AlejandraFernandez Slezak, DiegoGoldin, Andrea PaulaCHILDRENTRANSFERVIDEOGAMESCOGNITIVE TRAININGSCHOOLSCHILD-ANTHEART–FLOWER STROOP TASKCORSI BLOCKSTONITOWER OF LONDONhttps://purl.org/becyt/ford/1.7https://purl.org/becyt/ford/1Mate Marote is an open-access cognitive training software aimed at children between 4 and 8 years old. It consists of a set of computerized games specifically tailored to train and evaluate Executive Functions (EF), a class of processes critical for purposeful, goal-directed behavior, including working memory, planning, flexibility, and inhibitory control. Since 2008, several studies were performed with this software at children’s own schools in interventions supervised in-person by cognitive scientists. After 2015, we incorporated naturalistic, yet controlled, interventions with children’s own teachers’ help. The platform includes a battery of standardized tests, disguised as games, to assess children’s EF. The main question that emerges is whether the results, obtained withthese traditional tasks but conducted without the presence of researchers, are comparable to those widely reported in the literature, that were obtained in more supervised settings. In this study, we were able to replicate the expected difficulty and age effects in at least one of the analyzed dependent variables of each employed test. We also report important discrepancies between the expected and the observed response time patterns, specifically for time-constrained tasks. We hereby discuss the benefits and setbacks of a new possible strategy for this type of assessment in naturalistic settings.We conclude that this battery of established EF tasks adapted for its remote usage is appropriate to measure the expected mental processes in naturalistic settings, enriching opportunities to upscale cognitive training interventions at schools. These types of tools can constitute a concerted strategy to bring together educational neuroscience research and real-life practice.Fil: Vladisauskas, Melina. LABORATORIO DE NEUROCIENCIA ; UNIVERSIDAD TORCUATO DI TELLA; . Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Paz, Gabriel Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. LABORATORIO DE NEUROCIENCIA ; UNIVERSIDAD TORCUATO DI TELLA;Fil: Nin, Verónica. Universidad de la República; UruguayFil: Guillén, Jesús A.. Universidad de Barcelona; EspañaFil: Belloli, Laouen Mayal Louan. 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; ArgentinaFil: Delgado, Hernán. Universidad de la República; UruguayFil: Miguel, Martín Alejandro. 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; ArgentinaFil: Macario Cabral, Daniela. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación. Laboratorio de Inteligencia Artificial Aplicada; ArgentinaFil: Shalóm, Diego Edgar. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Forés, Anna. Universidad de Barcelona; EspañaFil: Carboni, Alejandra. Universidad de la República; UruguayFil: 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; ArgentinaFil: Goldin, Andrea Paula. LABORATORIO DE NEUROCIENCIA ; UNIVERSIDAD TORCUATO DI TELLA; . Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaMDPI2024-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/230840Vladisauskas, Melina; Paz, Gabriel Osvaldo; Nin, Verónica; Guillén, Jesús A.; Belloli, Laouen Mayal Louan; et al.; The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions; MDPI; Brain Sciences; 14; 3; 3-2024; 1-252076-3425CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2076-3425/14/3/262info:eu-repo/semantics/altIdentifier/doi/10.3390/brainsci14030262info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:24:17Zoai:ri.conicet.gov.ar:11336/230840instacron: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 10:24:17.491CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions
title The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions
spellingShingle The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions
Vladisauskas, Melina
CHILDREN
TRANSFER
VIDEOGAMES
COGNITIVE TRAINING
SCHOOLS
CHILD-ANT
HEART–FLOWER STROOP TASK
CORSI BLOCKS
TONI
TOWER OF LONDON
title_short The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions
title_full The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions
title_fullStr The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions
title_full_unstemmed The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions
title_sort The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions
dc.creator.none.fl_str_mv Vladisauskas, Melina
Paz, Gabriel Osvaldo
Nin, Verónica
Guillén, Jesús A.
Belloli, Laouen Mayal Louan
Delgado, Hernán
Miguel, Martín Alejandro
Macario Cabral, Daniela
Shalóm, Diego Edgar
Forés, Anna
Carboni, Alejandra
Fernandez Slezak, Diego
Goldin, Andrea Paula
author Vladisauskas, Melina
author_facet Vladisauskas, Melina
Paz, Gabriel Osvaldo
Nin, Verónica
Guillén, Jesús A.
Belloli, Laouen Mayal Louan
Delgado, Hernán
Miguel, Martín Alejandro
Macario Cabral, Daniela
Shalóm, Diego Edgar
Forés, Anna
Carboni, Alejandra
Fernandez Slezak, Diego
Goldin, Andrea Paula
author_role author
author2 Paz, Gabriel Osvaldo
Nin, Verónica
Guillén, Jesús A.
Belloli, Laouen Mayal Louan
Delgado, Hernán
Miguel, Martín Alejandro
Macario Cabral, Daniela
Shalóm, Diego Edgar
Forés, Anna
Carboni, Alejandra
Fernandez Slezak, Diego
Goldin, Andrea Paula
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv CHILDREN
TRANSFER
VIDEOGAMES
COGNITIVE TRAINING
SCHOOLS
CHILD-ANT
HEART–FLOWER STROOP TASK
CORSI BLOCKS
TONI
TOWER OF LONDON
topic CHILDREN
TRANSFER
VIDEOGAMES
COGNITIVE TRAINING
SCHOOLS
CHILD-ANT
HEART–FLOWER STROOP TASK
CORSI BLOCKS
TONI
TOWER OF LONDON
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.7
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Mate Marote is an open-access cognitive training software aimed at children between 4 and 8 years old. It consists of a set of computerized games specifically tailored to train and evaluate Executive Functions (EF), a class of processes critical for purposeful, goal-directed behavior, including working memory, planning, flexibility, and inhibitory control. Since 2008, several studies were performed with this software at children’s own schools in interventions supervised in-person by cognitive scientists. After 2015, we incorporated naturalistic, yet controlled, interventions with children’s own teachers’ help. The platform includes a battery of standardized tests, disguised as games, to assess children’s EF. The main question that emerges is whether the results, obtained withthese traditional tasks but conducted without the presence of researchers, are comparable to those widely reported in the literature, that were obtained in more supervised settings. In this study, we were able to replicate the expected difficulty and age effects in at least one of the analyzed dependent variables of each employed test. We also report important discrepancies between the expected and the observed response time patterns, specifically for time-constrained tasks. We hereby discuss the benefits and setbacks of a new possible strategy for this type of assessment in naturalistic settings.We conclude that this battery of established EF tasks adapted for its remote usage is appropriate to measure the expected mental processes in naturalistic settings, enriching opportunities to upscale cognitive training interventions at schools. These types of tools can constitute a concerted strategy to bring together educational neuroscience research and real-life practice.
Fil: Vladisauskas, Melina. LABORATORIO DE NEUROCIENCIA ; UNIVERSIDAD TORCUATO DI TELLA; . Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Paz, Gabriel Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. LABORATORIO DE NEUROCIENCIA ; UNIVERSIDAD TORCUATO DI TELLA;
Fil: Nin, Verónica. Universidad de la República; Uruguay
Fil: Guillén, Jesús A.. Universidad de Barcelona; España
Fil: Belloli, Laouen Mayal Louan. 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
Fil: Delgado, Hernán. Universidad de la República; Uruguay
Fil: Miguel, Martín Alejandro. 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
Fil: Macario Cabral, Daniela. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación. Laboratorio de Inteligencia Artificial Aplicada; Argentina
Fil: Shalóm, Diego Edgar. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Forés, Anna. Universidad de Barcelona; España
Fil: Carboni, Alejandra. Universidad de la República; Uruguay
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
Fil: Goldin, Andrea Paula. LABORATORIO DE NEUROCIENCIA ; UNIVERSIDAD TORCUATO DI TELLA; . Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Mate Marote is an open-access cognitive training software aimed at children between 4 and 8 years old. It consists of a set of computerized games specifically tailored to train and evaluate Executive Functions (EF), a class of processes critical for purposeful, goal-directed behavior, including working memory, planning, flexibility, and inhibitory control. Since 2008, several studies were performed with this software at children’s own schools in interventions supervised in-person by cognitive scientists. After 2015, we incorporated naturalistic, yet controlled, interventions with children’s own teachers’ help. The platform includes a battery of standardized tests, disguised as games, to assess children’s EF. The main question that emerges is whether the results, obtained withthese traditional tasks but conducted without the presence of researchers, are comparable to those widely reported in the literature, that were obtained in more supervised settings. In this study, we were able to replicate the expected difficulty and age effects in at least one of the analyzed dependent variables of each employed test. We also report important discrepancies between the expected and the observed response time patterns, specifically for time-constrained tasks. We hereby discuss the benefits and setbacks of a new possible strategy for this type of assessment in naturalistic settings.We conclude that this battery of established EF tasks adapted for its remote usage is appropriate to measure the expected mental processes in naturalistic settings, enriching opportunities to upscale cognitive training interventions at schools. These types of tools can constitute a concerted strategy to bring together educational neuroscience research and real-life practice.
publishDate 2024
dc.date.none.fl_str_mv 2024-03
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/11336/230840
Vladisauskas, Melina; Paz, Gabriel Osvaldo; Nin, Verónica; Guillén, Jesús A.; Belloli, Laouen Mayal Louan; et al.; The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions; MDPI; Brain Sciences; 14; 3; 3-2024; 1-25
2076-3425
CONICET Digital
CONICET
url http://hdl.handle.net/11336/230840
identifier_str_mv Vladisauskas, Melina; Paz, Gabriel Osvaldo; Nin, Verónica; Guillén, Jesús A.; Belloli, Laouen Mayal Louan; et al.; The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions; MDPI; Brain Sciences; 14; 3; 3-2024; 1-25
2076-3425
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2076-3425/14/3/262
info:eu-repo/semantics/altIdentifier/doi/10.3390/brainsci14030262
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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
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score 13.070432

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