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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/85053
Ver los metadatos del registro completo
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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:UNLP2025-09-03T10:48:41Zoai: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:13292025-09-03 10:48:41.307SEDICI (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 |
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 |
topic |
Ciencias Exactas Ciencias Informáticas Educación cMOOC Engagement MOOC Participation |
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 |
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2014 |
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