Publicación:
Empowering teachers in LMOOC design by using a taxonomy of participants’ temporal patterns

Vista sencilla de ítem
dc.contributor.authordel Peral Pérez, Juan José
dc.contributor.authorCastrillo de Larreta-Azelain, María Dolores
dc.date.accessioned2025-03-03T08:35:13Z
dc.date.available2025-03-03T08:35:13Z
dc.date.issued2023-09
dc.descriptionLa versión registrada de este artículo, publicado por primera vez en Journal of Research in Applied Linguistics, 14(2), 116-134, está disponible en línea en el sitio web del editor: http://doi.org/10.22055/rals.2023.43579.3048. The copyrighted version of this article, first published in Journal of Research in Applied Linguistics, 14(2), 116-134, is available online at the publisher's website: http://doi.org/10.22055/rals.2023.43579.3048.
dc.description.abstractA decade of research into MOOCs (massive online open courses) for language learning (LMOOCs) shows that they seem to have consolidated their position as a subfield of computer-assisted language learning (CALL). Since the appearance of LMOOCs in 2013, 3 key systematic reviews have been carried out; these confirm that research into student profiles is a recurring trend, with the focus on avoiding dropout rates by creating personalized learning pathways. One of the challenges for teachers and LMOOC developers is that they are not cognizant of their students or their study habits. If we could learn how students organize their study in LMOOCs, a taxonomy could be established according to their profiles. This would enable teachers and LMOOC developers to improve their course design and so create personalized learning pathways, making the courses better suited to students’ specific learning preferences. In this study, we use techniques of learning analytics (LA) to explore the temporal patterns of LMOOC participants in order to understand the way they manage and invest their time during their online courses. As a result of this study, we propose a new taxonomy of LMOOC participant profiles based on temporal patterns—one which would provide teachers with a tool to support them when personalizing the design and development of LMOOCs and which would, therefore, help them adapt their courses to the specific learning preferences of each profile.en
dc.description.versionversión publicada
dc.identifier.citationdel Peral Pérez, J. J. and Castrillo de Larreta-Azelain, M. D. (2023). Empowering Teachers in LMOOC Design by Using a Taxonomy of Participants’ Temporal Patterns. Journal of Research in Applied Linguistics, 14(2), 116-134. http://doi.org/10.22055/rals.2023.43579.3048
dc.identifier.doihttp://doi.org/10.22055/rals.2023.43579.3048
dc.identifier.issn2345-3303; eISSN: 2588-3887
dc.identifier.urihttps://hdl.handle.net/20.500.14468/26001
dc.journal.issue2
dc.journal.titleJournal of Research in Applied Linguistics
dc.journal.volume14
dc.language.isoen
dc.page.final134
dc.page.initial116
dc.publisherShahid Chamran University of Ahvaz (Iran)
dc.relation.centerFacultad de Filología
dc.relation.departmentFilologías Extranjeras y sus Lingüísticas
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.es
dc.subject5505.10 Filología
dc.subject.keywordsLMOOCsen
dc.subject.keywordsTemporal Access Patternsen
dc.subject.keywordsLearning Analytics (LA)en
dc.subject.keywordsParticipants Profilesen
dc.subject.keywordsLMOOC Teachersen
dc.subject.keywordsLearning Pathwaysen
dc.titleEmpowering teachers in LMOOC design by using a taxonomy of participants’ temporal patternsen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublicationead0dee6-34ed-4f16-b853-2897ec0e6b17
relation.isAuthorOfPublication.latestForDiscoveryead0dee6-34ed-4f16-b853-2897ec0e6b17
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
Castrillo_de_Larreta_Azelain_María_Dolores_Em.pdf
Tamaño:
1.05 MB
Formato:
Adobe Portable Document Format
Descargar
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
3.62 KB
Formato:
Item-specific license agreed to upon submission
Descripción:
Descargar
Colecciones
Artículos y papers