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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/72786
Ver los metadatos del registro completo
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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 |
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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 |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/pdf |
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Australian International Academic Centre |
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Australian International Academic Centre |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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