Single-case learning analytics: Feasibility of a human-centered analytics approach to support doctoral education

Producción Científica

Detalles Bibliográficos
Autores: Prieto Santos, Luis Pablo, Pishtari, Gerti, Dimitriadis, Yannis, Rodríguez Triana, María Jesús, Ley, Tobias, Odriozola González, Paula
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Universidad de Valladolid
Repositorio:UVaDOC. Repositorio Documental de la Universidad de Valladolid
OAI Identifier:oai:uvadoc.uva.es:10324/83193
Acceso en línea:https://doi.org/10.3897/jucs.94067
https://uvadoc.uva.es/handle/10324/83193
Access Level:acceso abierto
Palabra clave:technology-enhanced learning
learning analytics
human-centred learning analytics
doctoral education
human-AI teams
design patterns
analytics approaches
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spelling Single-case learning analytics: Feasibility of a human-centered analytics approach to support doctoral educationPrieto Santos, Luis PabloPishtari, GertiDimitriadis, YannisRodríguez Triana, María JesúsLey, TobiasOdriozola González, Paulatechnology-enhanced learninglearning analyticshuman-centred learning analyticsdoctoral educationhuman-AI teamsdesign patternsanalytics approachesProducción CientíficaRecent advances in machine learning and natural language processing have the potential to transform human activity in many domains. The field of learning analytics has applied these techniques successfully to many areas of education but has not been able to permeate others, such as doctoral education. Indeed, doctoral education remains an under-researched area with widespread problems (high dropout rates, low mental well-being) and lacks technological support beyond very specialized tasks. The inherent uniqueness of the doctoral journey may help explain the lack of generalized solutions (technological or otherwise) to these challenges. We propose a novel approach to apply the aforementioned advances in computation to support doctoral education. Single-case learning analytics defines a process in which doctoral students, researchers, and computational elements collaborate to extract insights about a single (doctoral) learner's experience and learning process. The feasibility and added value of this approach are demonstrated using an authentic dataset collected by nine doctoral students over a period of at least two months. The insights from this exploratory proof-of-concept serve to spark a research agenda for future technological support of doctoral education, which is aligned with recent calls for more human-centred approaches to designing and implementing learning analytics technologies.European Union's Horizon 2020 research and innovation programme under grant agreement No. 669074Erasmus Plus programme, grant agreement 2019-1-NO01-KA203-060280Estonian Research Council's Personal Research Grant (PRG) project PRG1634European Regional Development Fund and the National Research Agency of the Spanish Ministry of Science, Innovation and Universities, under project grant PID2020-112584RB-C32Graz University of Technology2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.3897/jucs.94067https://uvadoc.uva.es/handle/10324/83193reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidIngléshttps://lib.jucs.org/article/94067/info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nd/4.0/oai:uvadoc.uva.es:10324/831932026-06-13T12:44:47Z
dc.title.none.fl_str_mv Single-case learning analytics: Feasibility of a human-centered analytics approach to support doctoral education
title Single-case learning analytics: Feasibility of a human-centered analytics approach to support doctoral education
spellingShingle Single-case learning analytics: Feasibility of a human-centered analytics approach to support doctoral education
Prieto Santos, Luis Pablo
technology-enhanced learning
learning analytics
human-centred learning analytics
doctoral education
human-AI teams
design patterns
analytics approaches
title_short Single-case learning analytics: Feasibility of a human-centered analytics approach to support doctoral education
title_full Single-case learning analytics: Feasibility of a human-centered analytics approach to support doctoral education
title_fullStr Single-case learning analytics: Feasibility of a human-centered analytics approach to support doctoral education
title_full_unstemmed Single-case learning analytics: Feasibility of a human-centered analytics approach to support doctoral education
title_sort Single-case learning analytics: Feasibility of a human-centered analytics approach to support doctoral education
dc.creator.none.fl_str_mv Prieto Santos, Luis Pablo
Pishtari, Gerti
Dimitriadis, Yannis
Rodríguez Triana, María Jesús
Ley, Tobias
Odriozola González, Paula
author Prieto Santos, Luis Pablo
author_facet Prieto Santos, Luis Pablo
Pishtari, Gerti
Dimitriadis, Yannis
Rodríguez Triana, María Jesús
Ley, Tobias
Odriozola González, Paula
author_role author
author2 Pishtari, Gerti
Dimitriadis, Yannis
Rodríguez Triana, María Jesús
Ley, Tobias
Odriozola González, Paula
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv technology-enhanced learning
learning analytics
human-centred learning analytics
doctoral education
human-AI teams
design patterns
analytics approaches
topic technology-enhanced learning
learning analytics
human-centred learning analytics
doctoral education
human-AI teams
design patterns
analytics approaches
description Producción Científica
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.3897/jucs.94067
https://uvadoc.uva.es/handle/10324/83193
url https://doi.org/10.3897/jucs.94067
https://uvadoc.uva.es/handle/10324/83193
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://lib.jucs.org/article/94067/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nd/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Graz University of Technology
publisher.none.fl_str_mv Graz University of Technology
dc.source.none.fl_str_mv reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolid
instname:Universidad de Valladolid
instname_str Universidad de Valladolid
reponame_str UVaDOC. Repositorio Documental de la Universidad de Valladolid
collection UVaDOC. Repositorio Documental de la Universidad de Valladolid
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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