Learning on demand: dynamic creation of customized, coherent eLearning experiences

Detalhes bibliográficos
Autor(a) principal: Santos, O.
Data de Publicação: 2006
Outros Autores: Ramos, F.
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/5761
Resumo: This paper presents a conceptual model concerning automatic creation of coherent eLearning experiences through dynamic aggregation of heterogeneous learning objects. The model uses detailed user profiles as the main key to create customized learning content, tailored to each user’s needs, preferences and skills. Aggregation of heterogeneous learning objects may result in a very incoherent learning sequence. Therefore, the model incorporates a method to improve the learning coherence of the generated course. The compromise between customization and coherence is fully adjustable from maximum coherence to maximum customization.
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spelling Learning on demand: dynamic creation of customized, coherent eLearning experienceselearningCommunicationeLearning personalization customizationThis paper presents a conceptual model concerning automatic creation of coherent eLearning experiences through dynamic aggregation of heterogeneous learning objects. The model uses detailed user profiles as the main key to create customized learning content, tailored to each user’s needs, preferences and skills. Aggregation of heterogeneous learning objects may result in a very incoherent learning sequence. Therefore, the model incorporates a method to improve the learning coherence of the generated course. The compromise between customization and coherence is fully adjustable from maximum coherence to maximum customization.2012-02-03T15:45:12Z2006-06-01T00:00:00Z2006-06conference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10773/5761engSantos, O.Ramos, F.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-06T03:37:17Zoai:ria.ua.pt:10773/5761Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-06T03:37:17Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Learning on demand: dynamic creation of customized, coherent eLearning experiences
title Learning on demand: dynamic creation of customized, coherent eLearning experiences
spellingShingle Learning on demand: dynamic creation of customized, coherent eLearning experiences
Santos, O.
elearning
Communication
eLearning personalization customization
title_short Learning on demand: dynamic creation of customized, coherent eLearning experiences
title_full Learning on demand: dynamic creation of customized, coherent eLearning experiences
title_fullStr Learning on demand: dynamic creation of customized, coherent eLearning experiences
title_full_unstemmed Learning on demand: dynamic creation of customized, coherent eLearning experiences
title_sort Learning on demand: dynamic creation of customized, coherent eLearning experiences
author Santos, O.
author_facet Santos, O.
Ramos, F.
author_role author
author2 Ramos, F.
author2_role author
dc.contributor.author.fl_str_mv Santos, O.
Ramos, F.
dc.subject.por.fl_str_mv elearning
Communication
eLearning personalization customization
topic elearning
Communication
eLearning personalization customization
description This paper presents a conceptual model concerning automatic creation of coherent eLearning experiences through dynamic aggregation of heterogeneous learning objects. The model uses detailed user profiles as the main key to create customized learning content, tailored to each user’s needs, preferences and skills. Aggregation of heterogeneous learning objects may result in a very incoherent learning sequence. Therefore, the model incorporates a method to improve the learning coherence of the generated course. The compromise between customization and coherence is fully adjustable from maximum coherence to maximum customization.
publishDate 2006
dc.date.none.fl_str_mv 2006-06-01T00:00:00Z
2006-06
2012-02-03T15:45:12Z
dc.type.driver.fl_str_mv conference object
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/5761
url http://hdl.handle.net/10773/5761
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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repository.mail.fl_str_mv mluisa.alvim@gmail.com
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