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dc.contributor.author
Vladisauskas, Melina
dc.contributor.author
Paz, Gabriel Osvaldo
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Nin, Verónica
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Guillén, Jesús A.
dc.contributor.author
Belloli, Laouen Mayal Louan
dc.contributor.author
Delgado, Hernán
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Miguel, Martín Alejandro
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Macario Cabral, Daniela
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Shalóm, Diego Edgar
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Forés, Anna
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Carboni, Alejandra
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Fernandez Slezak, Diego
dc.contributor.author
Goldin, Andrea Paula
dc.date.available
2024-03-19T10:17:03Z
dc.date.issued
2024-03
dc.identifier.citation
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
dc.identifier.issn
2076-3425
dc.identifier.uri
http://hdl.handle.net/11336/230840
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
MDPI
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
CHILDREN
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TRANSFER
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VIDEOGAMES
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COGNITIVE TRAINING
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SCHOOLS
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CHILD-ANT
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HEART–FLOWER STROOP TASK
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CORSI BLOCKS
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TONI
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TOWER OF LONDON
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Otras Ciencias Naturales y Exactas
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Otras Ciencias Naturales y Exactas
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CIENCIAS NATURALES Y EXACTAS
dc.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
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-03-18T12:29:10Z
dc.journal.volume
14
dc.journal.number
3
dc.journal.pagination
1-25
dc.journal.pais
Suiza
dc.journal.ciudad
Basel
dc.description.fil
Fil: Vladisauskas, Melina. LABORATORIO DE NEUROCIENCIA ; UNIVERSIDAD TORCUATO DI TELLA; . Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Paz, Gabriel Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. LABORATORIO DE NEUROCIENCIA ; UNIVERSIDAD TORCUATO DI TELLA;
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Fil: Nin, Verónica. Universidad de la República; Uruguay
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Fil: Guillén, Jesús A.. Universidad de Barcelona; España
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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
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Fil: Delgado, Hernán. Universidad de la República; Uruguay
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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
dc.description.fil
Fil: Macario Cabral, Daniela. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación. Laboratorio de Inteligencia Artificial Aplicada; Argentina
dc.description.fil
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
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Fil: Forés, Anna. Universidad de Barcelona; España
dc.description.fil
Fil: Carboni, Alejandra. Universidad de la República; Uruguay
dc.description.fil
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
dc.description.fil
Fil: Goldin, Andrea Paula. LABORATORIO DE NEUROCIENCIA ; UNIVERSIDAD TORCUATO DI TELLA; . Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Brain Sciences
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2076-3425/14/3/262
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/brainsci14030262
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