Pedagogical and Technical Analyses of Massive Open Online Courses on Artificial Intelligence

MOOCs (massive open online courses) are popular distance courses for which anyone can sign up online with no limits on the number of participants. Moreover, artificial intelligence is a combination of algorithms for the development of human and rational capabilities by machines. This article present...

ver descrição completa

Detalhes bibliográficos
Autores: Delgado Algarra, Emilio José, Bernal Bravo, César, Morales Cevallos, María B., López Meneses, Eloy
Tipo de documento: artigo
Data de publicação:2024
País:España
Recursos:Universidad de Huelva (UHU)
Repositório:Arias Montano. Repositorio Institucional de la Universidad de Huelva
Idioma:inglês
OAI Identifier:oai:ariasmontano.uhu.es:10272/23608
Acesso em linha:https://hdl.handle.net/10272/23608
Access Level:Acceso aberto
Palavra-chave:Artificial intelligence
Human learning
Machine learning
Ethics
MOOC
58 Pedagogía
1203.04 Inteligencia Artificial
id ES_cef56f3a1df0dfece9f5b599049b2fe8
oai_identifier_str oai:ariasmontano.uhu.es:10272/23608
network_acronym_str ES
network_name_str España
repository_id_str
spelling Pedagogical and Technical Analyses of Massive Open Online Courses on Artificial IntelligenceDelgado Algarra, Emilio JoséBernal Bravo, CésarMorales Cevallos, María B.López Meneses, EloyArtificial intelligenceHuman learningMachine learningEthicsMOOC58 Pedagogía1203.04 Inteligencia ArtificialMOOCs (massive open online courses) are popular distance courses for which anyone can sign up online with no limits on the number of participants. Moreover, artificial intelligence is a combination of algorithms for the development of human and rational capabilities by machines. This article presents a quantitative study with a sample of 734 MOOCs on artificial intelligence from three important platforms. Through exploratory and factor analyses, and with the support of a category system, it is concluded that, there are similarities in terms of access to content, ease of navigation, design, toolbars, consistency, visible hypertexts, browsing support and links, help in content searching, and course development with regard to the technical dimension. Regarding the pedagogical dimension, xMOOCs represent the most extensive international trend, and unidirectional resources predominate. In relation to the content dimension, MOOCs that include content on the emerging and current uses of artificial intelligence in learning and training are remarkable, including three main trends in MOOCs on artificial intelligence: machine learning and education, ethics of AI, and human learning and inclusivity.MDPI20242024-01-0120242024-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10272/23608reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelvainstname:Universidad de Huelva (UHU)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ariasmontano.uhu.es:10272/236082026-06-02T14:58:11Z
dc.title.none.fl_str_mv Pedagogical and Technical Analyses of Massive Open Online Courses on Artificial Intelligence
title Pedagogical and Technical Analyses of Massive Open Online Courses on Artificial Intelligence
spellingShingle Pedagogical and Technical Analyses of Massive Open Online Courses on Artificial Intelligence
Delgado Algarra, Emilio José
Artificial intelligence
Human learning
Machine learning
Ethics
MOOC
58 Pedagogía
1203.04 Inteligencia Artificial
title_short Pedagogical and Technical Analyses of Massive Open Online Courses on Artificial Intelligence
title_full Pedagogical and Technical Analyses of Massive Open Online Courses on Artificial Intelligence
title_fullStr Pedagogical and Technical Analyses of Massive Open Online Courses on Artificial Intelligence
title_full_unstemmed Pedagogical and Technical Analyses of Massive Open Online Courses on Artificial Intelligence
title_sort Pedagogical and Technical Analyses of Massive Open Online Courses on Artificial Intelligence
dc.creator.none.fl_str_mv Delgado Algarra, Emilio José
Bernal Bravo, César
Morales Cevallos, María B.
López Meneses, Eloy
author Delgado Algarra, Emilio José
author_facet Delgado Algarra, Emilio José
Bernal Bravo, César
Morales Cevallos, María B.
López Meneses, Eloy
author_role author
author2 Bernal Bravo, César
Morales Cevallos, María B.
López Meneses, Eloy
author2_role author
author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Artificial intelligence
Human learning
Machine learning
Ethics
MOOC
58 Pedagogía
1203.04 Inteligencia Artificial
topic Artificial intelligence
Human learning
Machine learning
Ethics
MOOC
58 Pedagogía
1203.04 Inteligencia Artificial
description MOOCs (massive open online courses) are popular distance courses for which anyone can sign up online with no limits on the number of participants. Moreover, artificial intelligence is a combination of algorithms for the development of human and rational capabilities by machines. This article presents a quantitative study with a sample of 734 MOOCs on artificial intelligence from three important platforms. Through exploratory and factor analyses, and with the support of a category system, it is concluded that, there are similarities in terms of access to content, ease of navigation, design, toolbars, consistency, visible hypertexts, browsing support and links, help in content searching, and course development with regard to the technical dimension. Regarding the pedagogical dimension, xMOOCs represent the most extensive international trend, and unidirectional resources predominate. In relation to the content dimension, MOOCs that include content on the emerging and current uses of artificial intelligence in learning and training are remarkable, including three main trends in MOOCs on artificial intelligence: machine learning and education, ethics of AI, and human learning and inclusivity.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01
2024
2024-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10272/23608
url https://hdl.handle.net/10272/23608
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelva
instname:Universidad de Huelva (UHU)
instname_str Universidad de Huelva (UHU)
reponame_str Arias Montano. Repositorio Institucional de la Universidad de Huelva
collection Arias Montano. Repositorio Institucional de la Universidad de Huelva
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869420038365118464
score 15.812429

Registros relacionados