What tweets tell us about MOOC participation

Autores
Koutropoulos, A.; Abajian, S. C.; Waard, I. de; Hogue, R.; Keskin, N. Ö.; Rodríguez, Carlos Osvaldo
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this research paper, the authors analyze the collected Twitter data output during MobiMOOC 2011. This six-week data stream includes all tweets that contain the MOOC's hashtag (#mobiMOOC) and it has been analyzed using qualitative methodology. The analysis sought to examine the emotive vocabulary used, to determine if there was content-sharing via tweets, and to analyze the folksonomic trends of the tweets. In Addition sought a deeper understanding of what, and how, MOOC participants share what they share on the MOOC's Twitter channel. The aim of this study is to provide a little more insight into MOOC learner behaviors on Twitter so that future MOOC designers and facilitators can better engage with their learners.
Facultad de Ciencias Exactas
Materia
Ciencias Exactas
Ciencias Informáticas
Educación
cMOOC
Engagement
MOOC
Participation
Twitter
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/85053
Acceder
id SEDICI_fc5c2394b0a4081cecc2cb60e3d60820
oai_identifier_str oai:sedici.unlp.edu.ar:10915/85053
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling What tweets tell us about MOOC participationKoutropoulos, A.Abajian, S. C.Waard, I. deHogue, R.Keskin, N. Ö.Rodríguez, Carlos OsvaldoCiencias ExactasCiencias InformáticasEducacióncMOOCEngagementMOOCParticipationTwitterIn this research paper, the authors analyze the collected Twitter data output during MobiMOOC 2011. This six-week data stream includes all tweets that contain the MOOC's hashtag (#mobiMOOC) and it has been analyzed using qualitative methodology. The analysis sought to examine the emotive vocabulary used, to determine if there was content-sharing via tweets, and to analyze the folksonomic trends of the tweets. In Addition sought a deeper understanding of what, and how, MOOC participants share what they share on the MOOC's Twitter channel. The aim of this study is to provide a little more insight into MOOC learner behaviors on Twitter so that future MOOC designers and facilitators can better engage with their learners.Facultad de Ciencias Exactas2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf8-21http://sedici.unlp.edu.ar/handle/10915/85053enginfo:eu-repo/semantics/altIdentifier/issn/1868-8799info:eu-repo/semantics/altIdentifier/doi/10.3991/ijet.v9i1.3316info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-11-05T12:55:43Zoai:sedici.unlp.edu.ar:10915/85053Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-05 12:55:44.19SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv What tweets tell us about MOOC participation
title What tweets tell us about MOOC participation
spellingShingle What tweets tell us about MOOC participation
Koutropoulos, A.
Ciencias Exactas
Ciencias Informáticas
Educación
cMOOC
Engagement
MOOC
Participation
Twitter
title_short What tweets tell us about MOOC participation
title_full What tweets tell us about MOOC participation
title_fullStr What tweets tell us about MOOC participation
title_full_unstemmed What tweets tell us about MOOC participation
title_sort What tweets tell us about MOOC participation
dc.creator.none.fl_str_mv Koutropoulos, A.
Abajian, S. C.
Waard, I. de
Hogue, R.
Keskin, N. Ö.
Rodríguez, Carlos Osvaldo
author Koutropoulos, A.
author_facet Koutropoulos, A.
Abajian, S. C.
Waard, I. de
Hogue, R.
Keskin, N. Ö.
Rodríguez, Carlos Osvaldo
author_role author
author2 Abajian, S. C.
Waard, I. de
Hogue, R.
Keskin, N. Ö.
Rodríguez, Carlos Osvaldo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Exactas
Ciencias Informáticas
Educación
cMOOC
Engagement
MOOC
Participation
Twitter
topic Ciencias Exactas
Ciencias Informáticas
Educación
cMOOC
Engagement
MOOC
Participation
Twitter
dc.description.none.fl_txt_mv In this research paper, the authors analyze the collected Twitter data output during MobiMOOC 2011. This six-week data stream includes all tweets that contain the MOOC's hashtag (#mobiMOOC) and it has been analyzed using qualitative methodology. The analysis sought to examine the emotive vocabulary used, to determine if there was content-sharing via tweets, and to analyze the folksonomic trends of the tweets. In Addition sought a deeper understanding of what, and how, MOOC participants share what they share on the MOOC's Twitter channel. The aim of this study is to provide a little more insight into MOOC learner behaviors on Twitter so that future MOOC designers and facilitators can better engage with their learners.
Facultad de Ciencias Exactas
description In this research paper, the authors analyze the collected Twitter data output during MobiMOOC 2011. This six-week data stream includes all tweets that contain the MOOC's hashtag (#mobiMOOC) and it has been analyzed using qualitative methodology. The analysis sought to examine the emotive vocabulary used, to determine if there was content-sharing via tweets, and to analyze the folksonomic trends of the tweets. In Addition sought a deeper understanding of what, and how, MOOC participants share what they share on the MOOC's Twitter channel. The aim of this study is to provide a little more insight into MOOC learner behaviors on Twitter so that future MOOC designers and facilitators can better engage with their learners.
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/85053
url http://sedici.unlp.edu.ar/handle/10915/85053
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1868-8799
info:eu-repo/semantics/altIdentifier/doi/10.3991/ijet.v9i1.3316
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
8-21
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
_version_ 1847978597359288320
score 13.087074

Publicaciones similares