Improving interoperability among learning objects using FIPA agent communication framework

Autores
Vicari, Rosa; Gomes, Eduardo R.; Silveira, Ricardo Azambuja
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The reusability of learning material is based on three main features: modularity, discoverability and interoperability. Several researchers on Intelligent Learning Environments have proposed the use of architectures based on agent societies. Learning systems based on Multi-Agent architectures support the development of more interactive and adaptable systems and the Learning Objects approach gives reusability. We proposed an approach where learning objects are built based on agent architectures. This paper discusses how the Intelligent Learning Objects approach can be used to improve the interoperability between learning objects and pedagogical agents.
Applications in Artificial Intelligence - Agents
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Tecnología Educacional
intelligent learning objects
interoperability
pedagogical agents
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/24158
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/24158
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network_name_str SEDICI (UNLP)
spelling Improving interoperability among learning objects using FIPA agent communication frameworkVicari, RosaGomes, Eduardo R.Silveira, Ricardo AzambujaCiencias InformáticasTecnología Educacionalintelligent learning objectsinteroperabilitypedagogical agentsThe reusability of learning material is based on three main features: modularity, discoverability and interoperability. Several researchers on Intelligent Learning Environments have proposed the use of architectures based on agent societies. Learning systems based on Multi-Agent architectures support the development of more interactive and adaptable systems and the Learning Objects approach gives reusability. We proposed an approach where learning objects are built based on agent architectures. This paper discusses how the Intelligent Learning Objects approach can be used to improve the interoperability between learning objects and pedagogical agents.Applications in Artificial Intelligence - AgentsRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24158enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34655-4info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:45Zoai:sedici.unlp.edu.ar:10915/24158Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:45.491SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Improving interoperability among learning objects using FIPA agent communication framework
title Improving interoperability among learning objects using FIPA agent communication framework
spellingShingle Improving interoperability among learning objects using FIPA agent communication framework
Vicari, Rosa
Ciencias Informáticas
Tecnología Educacional
intelligent learning objects
interoperability
pedagogical agents
title_short Improving interoperability among learning objects using FIPA agent communication framework
title_full Improving interoperability among learning objects using FIPA agent communication framework
title_fullStr Improving interoperability among learning objects using FIPA agent communication framework
title_full_unstemmed Improving interoperability among learning objects using FIPA agent communication framework
title_sort Improving interoperability among learning objects using FIPA agent communication framework
dc.creator.none.fl_str_mv Vicari, Rosa
Gomes, Eduardo R.
Silveira, Ricardo Azambuja
author Vicari, Rosa
author_facet Vicari, Rosa
Gomes, Eduardo R.
Silveira, Ricardo Azambuja
author_role author
author2 Gomes, Eduardo R.
Silveira, Ricardo Azambuja
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Tecnología Educacional
intelligent learning objects
interoperability
pedagogical agents
topic Ciencias Informáticas
Tecnología Educacional
intelligent learning objects
interoperability
pedagogical agents
dc.description.none.fl_txt_mv The reusability of learning material is based on three main features: modularity, discoverability and interoperability. Several researchers on Intelligent Learning Environments have proposed the use of architectures based on agent societies. Learning systems based on Multi-Agent architectures support the development of more interactive and adaptable systems and the Learning Objects approach gives reusability. We proposed an approach where learning objects are built based on agent architectures. This paper discusses how the Intelligent Learning Objects approach can be used to improve the interoperability between learning objects and pedagogical agents.
Applications in Artificial Intelligence - Agents
Red de Universidades con Carreras en Informática (RedUNCI)
description The reusability of learning material is based on three main features: modularity, discoverability and interoperability. Several researchers on Intelligent Learning Environments have proposed the use of architectures based on agent societies. Learning systems based on Multi-Agent architectures support the development of more interactive and adaptable systems and the Learning Objects approach gives reusability. We proposed an approach where learning objects are built based on agent architectures. This paper discusses how the Intelligent Learning Objects approach can be used to improve the interoperability between learning objects and pedagogical agents.
publishDate 2006
dc.date.none.fl_str_mv 2006-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/24158
url http://sedici.unlp.edu.ar/handle/10915/24158
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/0-387-34655-4
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.070432

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