Understanding Cognitive Language Learning Strategies

Autores
Di Carlo, Sergio
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Over time, definitions and taxonomies of language learning strategies have been critically examined. This article defines and classifies cognitive language learning strategies on a more grounded basis. Language learning is a macro-process for which the general hypotheses of information processing are valid. Cognitive strategies are represented by the pillars underlying the encoding, storage and retrieval of information. In order to understand the processes taking place on these three dimensions, a functional model was elaborated from multiple theoretical contributions and previous models: the Smart Processing Model. This model operates with linguistic inputs as well as with any other kind of information. It helps to illustrate the stages, relations, modules and processes that occur during the flow of information. This theoretical advance is a core element to classify cognitive strategies. Contributions from cognitive neuroscience have also been considered to establish the proposed classification which consists of five categories. Each of these categories has a different predominant function: classification, preparation, association, elaboration and transfer-practice. This better founded taxonomy opens the doors to potential studies that would allow a better understanding of the interdisciplinary complexity of language learning. Pedagogical and methodological implications are also discussed.
Fil: Di Carlo, Sergio. Universidad Nacional de Córdoba. Facultad de Lenguas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
COGNITIVE PROCESSES
SMART PROCESSING MODEL
COGNITIVE NEUROSCIENCE
SECOND AND FOREIGN LANGUAGE ACQUISITION
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:11336/72786

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spelling Understanding Cognitive Language Learning StrategiesDi Carlo, SergioCOGNITIVE PROCESSESSMART PROCESSING MODELCOGNITIVE NEUROSCIENCESECOND AND FOREIGN LANGUAGE ACQUISITIONhttps://purl.org/becyt/ford/6.2https://purl.org/becyt/ford/6Over time, definitions and taxonomies of language learning strategies have been critically examined. This article defines and classifies cognitive language learning strategies on a more grounded basis. Language learning is a macro-process for which the general hypotheses of information processing are valid. Cognitive strategies are represented by the pillars underlying the encoding, storage and retrieval of information. In order to understand the processes taking place on these three dimensions, a functional model was elaborated from multiple theoretical contributions and previous models: the Smart Processing Model. This model operates with linguistic inputs as well as with any other kind of information. It helps to illustrate the stages, relations, modules and processes that occur during the flow of information. This theoretical advance is a core element to classify cognitive strategies. Contributions from cognitive neuroscience have also been considered to establish the proposed classification which consists of five categories. Each of these categories has a different predominant function: classification, preparation, association, elaboration and transfer-practice. This better founded taxonomy opens the doors to potential studies that would allow a better understanding of the interdisciplinary complexity of language learning. Pedagogical and methodological implications are also discussed.Fil: Di Carlo, Sergio. Universidad Nacional de Córdoba. Facultad de Lenguas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaAustralian International Academic Centre2017-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/72786Di Carlo, Sergio; Understanding Cognitive Language Learning Strategies; Australian International Academic Centre; International Journal of Applied Linguistics and English Literature; 6; 2; 1-2017; 114-1262200-3592CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.7575/aiac.ijalel.v.6n.2p.114info:eu-repo/semantics/altIdentifier/url/http://www.journals.aiac.org.au/index.php/IJALEL/article/view/2910info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:34:09Zoai:ri.conicet.gov.ar:11336/72786instacron: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 09:34:09.932CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Understanding Cognitive Language Learning Strategies
title Understanding Cognitive Language Learning Strategies
spellingShingle Understanding Cognitive Language Learning Strategies
Di Carlo, Sergio
COGNITIVE PROCESSES
SMART PROCESSING MODEL
COGNITIVE NEUROSCIENCE
SECOND AND FOREIGN LANGUAGE ACQUISITION
title_short Understanding Cognitive Language Learning Strategies
title_full Understanding Cognitive Language Learning Strategies
title_fullStr Understanding Cognitive Language Learning Strategies
title_full_unstemmed Understanding Cognitive Language Learning Strategies
title_sort Understanding Cognitive Language Learning Strategies
dc.creator.none.fl_str_mv Di Carlo, Sergio
author Di Carlo, Sergio
author_facet Di Carlo, Sergio
author_role author
dc.subject.none.fl_str_mv COGNITIVE PROCESSES
SMART PROCESSING MODEL
COGNITIVE NEUROSCIENCE
SECOND AND FOREIGN LANGUAGE ACQUISITION
topic COGNITIVE PROCESSES
SMART PROCESSING MODEL
COGNITIVE NEUROSCIENCE
SECOND AND FOREIGN LANGUAGE ACQUISITION
purl_subject.fl_str_mv https://purl.org/becyt/ford/6.2
https://purl.org/becyt/ford/6
dc.description.none.fl_txt_mv Over time, definitions and taxonomies of language learning strategies have been critically examined. This article defines and classifies cognitive language learning strategies on a more grounded basis. Language learning is a macro-process for which the general hypotheses of information processing are valid. Cognitive strategies are represented by the pillars underlying the encoding, storage and retrieval of information. In order to understand the processes taking place on these three dimensions, a functional model was elaborated from multiple theoretical contributions and previous models: the Smart Processing Model. This model operates with linguistic inputs as well as with any other kind of information. It helps to illustrate the stages, relations, modules and processes that occur during the flow of information. This theoretical advance is a core element to classify cognitive strategies. Contributions from cognitive neuroscience have also been considered to establish the proposed classification which consists of five categories. Each of these categories has a different predominant function: classification, preparation, association, elaboration and transfer-practice. This better founded taxonomy opens the doors to potential studies that would allow a better understanding of the interdisciplinary complexity of language learning. Pedagogical and methodological implications are also discussed.
Fil: Di Carlo, Sergio. Universidad Nacional de Córdoba. Facultad de Lenguas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Over time, definitions and taxonomies of language learning strategies have been critically examined. This article defines and classifies cognitive language learning strategies on a more grounded basis. Language learning is a macro-process for which the general hypotheses of information processing are valid. Cognitive strategies are represented by the pillars underlying the encoding, storage and retrieval of information. In order to understand the processes taking place on these three dimensions, a functional model was elaborated from multiple theoretical contributions and previous models: the Smart Processing Model. This model operates with linguistic inputs as well as with any other kind of information. It helps to illustrate the stages, relations, modules and processes that occur during the flow of information. This theoretical advance is a core element to classify cognitive strategies. Contributions from cognitive neuroscience have also been considered to establish the proposed classification which consists of five categories. Each of these categories has a different predominant function: classification, preparation, association, elaboration and transfer-practice. This better founded taxonomy opens the doors to potential studies that would allow a better understanding of the interdisciplinary complexity of language learning. Pedagogical and methodological implications are also discussed.
publishDate 2017
dc.date.none.fl_str_mv 2017-01
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/11336/72786
Di Carlo, Sergio; Understanding Cognitive Language Learning Strategies; Australian International Academic Centre; International Journal of Applied Linguistics and English Literature; 6; 2; 1-2017; 114-126
2200-3592
CONICET Digital
CONICET
url http://hdl.handle.net/11336/72786
identifier_str_mv Di Carlo, Sergio; Understanding Cognitive Language Learning Strategies; Australian International Academic Centre; International Journal of Applied Linguistics and English Literature; 6; 2; 1-2017; 114-126
2200-3592
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.7575/aiac.ijalel.v.6n.2p.114
info:eu-repo/semantics/altIdentifier/url/http://www.journals.aiac.org.au/index.php/IJALEL/article/view/2910
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 Australian International Academic Centre
publisher.none.fl_str_mv Australian International Academic Centre
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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