Massive Open Online Courses: a bibliometric review

Bibliographic Details
Main Author: Sobral, Sónia Rolland
Publication Date: 2020
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/11328/3193
https://doi.org/10.18178/ijiet.2021.11.5.1513
Summary: Massive Open Online Courses (MOOCs) are open courses offered to an indefinite number of participants and accessible through virtual learning environments. These courses have been the subject of research all over the world. The purpose of this paper is to analyze the scientific production on Massive Open Online Courses in journals indexed in Clarivate Analytics’ Web of Science and Elsevier’s Scopus. The sample is composed by 1908 articles in total. The results obtained by bibliometric analysis showed that the publication continue to increase, in which journals they are published, which are the organizations and countries that publish the most, and which are the most cited articles. We concluded that since Massive Open Online Courses are a reality, there still seems to be a possibility for evolution in good quality publications.
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spelling Massive Open Online Courses: a bibliometric reviewMassive Open Online CoursesMOOCMOOCsBibliometricsData analysisMassive Open Online Courses (MOOCs) are open courses offered to an indefinite number of participants and accessible through virtual learning environments. These courses have been the subject of research all over the world. The purpose of this paper is to analyze the scientific production on Massive Open Online Courses in journals indexed in Clarivate Analytics’ Web of Science and Elsevier’s Scopus. The sample is composed by 1908 articles in total. The results obtained by bibliometric analysis showed that the publication continue to increase, in which journals they are published, which are the organizations and countries that publish the most, and which are the most cited articles. We concluded that since Massive Open Online Courses are a reality, there still seems to be a possibility for evolution in good quality publications.2020-09-17T14:16:02Z2020-09-172021-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfSobral, S. R. (2021). Massive Open Online Courses: a bibliometric review. International Journal of Information and Education Technology, vol. 11(5), pp. 205-211. doi: 10.18178/ijiet.2021.11.5.1513. Disponível no Repositório UPT, http://hdl.handle.net/11328/3193http://hdl.handle.net/11328/3193Sobral, S. R. (2021). Massive Open Online Courses: a bibliometric review. International Journal of Information and Education Technology, vol. 11(5), pp. 205-211. doi: 10.18178/ijiet.2021.11.5.1513. Disponível no Repositório UPT, http://hdl.handle.net/11328/3193http://hdl.handle.net/11328/3193https://doi.org/10.18178/ijiet.2021.11.5.1513eng2010-3689info:eu-repo/semantics/restrictedAccessinfo:eu-repo/semantics/openAccessSobral, Sónia Rollandreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-01-09T02:17:27Zoai:repositorio.upt.pt:11328/3193Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:34:05.816808Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Massive Open Online Courses: a bibliometric review
title Massive Open Online Courses: a bibliometric review
spellingShingle Massive Open Online Courses: a bibliometric review
Sobral, Sónia Rolland
Massive Open Online Courses
MOOC
MOOCs
Bibliometrics
Data analysis
title_short Massive Open Online Courses: a bibliometric review
title_full Massive Open Online Courses: a bibliometric review
title_fullStr Massive Open Online Courses: a bibliometric review
title_full_unstemmed Massive Open Online Courses: a bibliometric review
title_sort Massive Open Online Courses: a bibliometric review
author Sobral, Sónia Rolland
author_facet Sobral, Sónia Rolland
author_role author
dc.contributor.author.fl_str_mv Sobral, Sónia Rolland
dc.subject.por.fl_str_mv Massive Open Online Courses
MOOC
MOOCs
Bibliometrics
Data analysis
topic Massive Open Online Courses
MOOC
MOOCs
Bibliometrics
Data analysis
description Massive Open Online Courses (MOOCs) are open courses offered to an indefinite number of participants and accessible through virtual learning environments. These courses have been the subject of research all over the world. The purpose of this paper is to analyze the scientific production on Massive Open Online Courses in journals indexed in Clarivate Analytics’ Web of Science and Elsevier’s Scopus. The sample is composed by 1908 articles in total. The results obtained by bibliometric analysis showed that the publication continue to increase, in which journals they are published, which are the organizations and countries that publish the most, and which are the most cited articles. We concluded that since Massive Open Online Courses are a reality, there still seems to be a possibility for evolution in good quality publications.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-17T14:16:02Z
2020-09-17
2021-01-01T00:00:00Z
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dc.identifier.uri.fl_str_mv Sobral, S. R. (2021). Massive Open Online Courses: a bibliometric review. International Journal of Information and Education Technology, vol. 11(5), pp. 205-211. doi: 10.18178/ijiet.2021.11.5.1513. Disponível no Repositório UPT, http://hdl.handle.net/11328/3193
http://hdl.handle.net/11328/3193
Sobral, S. R. (2021). Massive Open Online Courses: a bibliometric review. International Journal of Information and Education Technology, vol. 11(5), pp. 205-211. doi: 10.18178/ijiet.2021.11.5.1513. Disponível no Repositório UPT, http://hdl.handle.net/11328/3193
http://hdl.handle.net/11328/3193
https://doi.org/10.18178/ijiet.2021.11.5.1513
identifier_str_mv Sobral, S. R. (2021). Massive Open Online Courses: a bibliometric review. International Journal of Information and Education Technology, vol. 11(5), pp. 205-211. doi: 10.18178/ijiet.2021.11.5.1513. Disponível no Repositório UPT, http://hdl.handle.net/11328/3193
url http://hdl.handle.net/11328/3193
https://doi.org/10.18178/ijiet.2021.11.5.1513
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