Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths

Autores
Romero, Lucila; Saucedo, Camila; Caliusco, Maria Laura; Gutiérrez, Milagros
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In the area of e-learning, there are new challenges to be overcome. One of them is to allow students self-regulation of their learning. Within this self-regulation process, students and teachers use technological tools to carry out their tasks. In general, these tools do not consider pedagogical aspects. Emerging approaches propose the use of electronic portfolios and semantic technologies to provide pedagogical characteristics that make tools more user-friendly for both teachers and students. This paper presents a conceptual model of an intelligent system to support self-regulated learning. This model is based on semantic technologies and uses the concepts of learning paths and student e-portfolios. For learning path generation, the system considers the different learning levels that a student should achieve and metrics that measure student progress. In this way, it proposes a learning path with the intention that the student achieves as highest learning level as possible.
Fil: Romero, Lucila. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina
Fil: Saucedo, Camila. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina
Fil: Caliusco, Maria Laura. Universidad Tecnológica Nacional. Facultad Reg.santa Fe. Departamento de Sistemas. Centro Id de Ing.en Sistemas de Informacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
Fil: Gutiérrez, Milagros. Universidad Tecnológica Nacional. Facultad Reg.santa Fe. Departamento de Sistemas. Centro Id de Ing.en Sistemas de Informacion; Argentina
Materia
E-LEARNING
E-PORTFOLIO
EDUCATIONAL RESOURCE
LEARNING PATH
ONTOLOGY
PERSONALIZATION
SELF-REGULATION
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:11336/151110
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning pathsRomero, LucilaSaucedo, CamilaCaliusco, Maria LauraGutiérrez, MilagrosE-LEARNINGE-PORTFOLIOEDUCATIONAL RESOURCELEARNING PATHONTOLOGYPERSONALIZATIONSELF-REGULATIONhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1In the area of e-learning, there are new challenges to be overcome. One of them is to allow students self-regulation of their learning. Within this self-regulation process, students and teachers use technological tools to carry out their tasks. In general, these tools do not consider pedagogical aspects. Emerging approaches propose the use of electronic portfolios and semantic technologies to provide pedagogical characteristics that make tools more user-friendly for both teachers and students. This paper presents a conceptual model of an intelligent system to support self-regulated learning. This model is based on semantic technologies and uses the concepts of learning paths and student e-portfolios. For learning path generation, the system considers the different learning levels that a student should achieve and metrics that measure student progress. In this way, it proposes a learning path with the intention that the student achieves as highest learning level as possible.Fil: Romero, Lucila. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; ArgentinaFil: Saucedo, Camila. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; ArgentinaFil: Caliusco, Maria Laura. Universidad Tecnológica Nacional. Facultad Reg.santa Fe. Departamento de Sistemas. Centro Id de Ing.en Sistemas de Informacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; ArgentinaFil: Gutiérrez, Milagros. Universidad Tecnológica Nacional. Facultad Reg.santa Fe. Departamento de Sistemas. Centro Id de Ing.en Sistemas de Informacion; ArgentinaSpringer Netherlands2019-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/151110Romero, Lucila; Saucedo, Camila; Caliusco, Maria Laura; Gutiérrez, Milagros; Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths; Springer Netherlands; International Journal of Educational Technology in Higher Education; 16; 1; 5-2019; 1-162365-9440CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-019-0146-1info:eu-repo/semantics/altIdentifier/doi/10.1186/s41239-019-0146-1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:30:48Zoai:ri.conicet.gov.ar:11336/151110instacron: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:34982025-10-22 11:30:49.135CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths
title Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths
spellingShingle Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths
Romero, Lucila
E-LEARNING
E-PORTFOLIO
EDUCATIONAL RESOURCE
LEARNING PATH
ONTOLOGY
PERSONALIZATION
SELF-REGULATION
title_short Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths
title_full Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths
title_fullStr Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths
title_full_unstemmed Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths
title_sort Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths
dc.creator.none.fl_str_mv Romero, Lucila
Saucedo, Camila
Caliusco, Maria Laura
Gutiérrez, Milagros
author Romero, Lucila
author_facet Romero, Lucila
Saucedo, Camila
Caliusco, Maria Laura
Gutiérrez, Milagros
author_role author
author2 Saucedo, Camila
Caliusco, Maria Laura
Gutiérrez, Milagros
author2_role author
author
author
dc.subject.none.fl_str_mv E-LEARNING
E-PORTFOLIO
EDUCATIONAL RESOURCE
LEARNING PATH
ONTOLOGY
PERSONALIZATION
SELF-REGULATION
topic E-LEARNING
E-PORTFOLIO
EDUCATIONAL RESOURCE
LEARNING PATH
ONTOLOGY
PERSONALIZATION
SELF-REGULATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In the area of e-learning, there are new challenges to be overcome. One of them is to allow students self-regulation of their learning. Within this self-regulation process, students and teachers use technological tools to carry out their tasks. In general, these tools do not consider pedagogical aspects. Emerging approaches propose the use of electronic portfolios and semantic technologies to provide pedagogical characteristics that make tools more user-friendly for both teachers and students. This paper presents a conceptual model of an intelligent system to support self-regulated learning. This model is based on semantic technologies and uses the concepts of learning paths and student e-portfolios. For learning path generation, the system considers the different learning levels that a student should achieve and metrics that measure student progress. In this way, it proposes a learning path with the intention that the student achieves as highest learning level as possible.
Fil: Romero, Lucila. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina
Fil: Saucedo, Camila. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina
Fil: Caliusco, Maria Laura. Universidad Tecnológica Nacional. Facultad Reg.santa Fe. Departamento de Sistemas. Centro Id de Ing.en Sistemas de Informacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
Fil: Gutiérrez, Milagros. Universidad Tecnológica Nacional. Facultad Reg.santa Fe. Departamento de Sistemas. Centro Id de Ing.en Sistemas de Informacion; Argentina
description In the area of e-learning, there are new challenges to be overcome. One of them is to allow students self-regulation of their learning. Within this self-regulation process, students and teachers use technological tools to carry out their tasks. In general, these tools do not consider pedagogical aspects. Emerging approaches propose the use of electronic portfolios and semantic technologies to provide pedagogical characteristics that make tools more user-friendly for both teachers and students. This paper presents a conceptual model of an intelligent system to support self-regulated learning. This model is based on semantic technologies and uses the concepts of learning paths and student e-portfolios. For learning path generation, the system considers the different learning levels that a student should achieve and metrics that measure student progress. In this way, it proposes a learning path with the intention that the student achieves as highest learning level as possible.
publishDate 2019
dc.date.none.fl_str_mv 2019-05
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/11336/151110
Romero, Lucila; Saucedo, Camila; Caliusco, Maria Laura; Gutiérrez, Milagros; Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths; Springer Netherlands; International Journal of Educational Technology in Higher Education; 16; 1; 5-2019; 1-16
2365-9440
CONICET Digital
CONICET
url http://hdl.handle.net/11336/151110
identifier_str_mv Romero, Lucila; Saucedo, Camila; Caliusco, Maria Laura; Gutiérrez, Milagros; Supporting self-regulated learning and personalization using ePortfolios: a semantic approach based on learning paths; Springer Netherlands; International Journal of Educational Technology in Higher Education; 16; 1; 5-2019; 1-16
2365-9440
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://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-019-0146-1
info:eu-repo/semantics/altIdentifier/doi/10.1186/s41239-019-0146-1
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 Springer Netherlands
publisher.none.fl_str_mv Springer Netherlands
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 12.982451

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