GENIE Learn: human-centered generative AI-enhanced smart learning environments

This paper presents the basis of the GENIE Learn project, a coordinated three-year research project funded by the Spanish Research Agency. The main goal of GENIE Learn is to improve Smart Learning Environments (SLEs) for Hybrid Learning (HL) support by integrating Generative Artificial Intelligence...

Descripción completa

Detalles Bibliográficos
Autores: Delgado Kloos, Carlos, Asensio-Pérez, Juan I., Hernández Leo, Davinia, Moreno-Marcos, Pedro Manuel, Bote-Lorenzo, Miguel L., Santos Rodríguez, Patrícia, Alario-Hoyos, Carlos, Dimitriadis, Yannis, Tabuenca, Bernardo
Tipo de recurso: capítulo de libro
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/71887
Acceso en línea:http://hdl.handle.net/10230/71887
https://doi.org/10.5220/0013076000003932
Access Level:acceso abierto
Palabra clave:Smart Learning Environments
Hybrid Learning
Generative Artificial Intelligence
Human Centeredness
id ES_4da88def33d2aaaac492fd296e0d0b5b
oai_identifier_str oai:repositori.upf.edu:10230/71887
network_acronym_str ES
network_name_str España
repository_id_str
spelling GENIE Learn: human-centered generative AI-enhanced smart learning environmentsDelgado Kloos, CarlosAsensio-Pérez, Juan I.Hernández Leo, DaviniaMoreno-Marcos, Pedro ManuelBote-Lorenzo, Miguel L.Santos Rodríguez, PatríciaAlario-Hoyos, CarlosDimitriadis, YannisTabuenca, BernardoSmart Learning EnvironmentsHybrid LearningGenerative Artificial IntelligenceHuman CenterednessThis paper presents the basis of the GENIE Learn project, a coordinated three-year research project funded by the Spanish Research Agency. The main goal of GENIE Learn is to improve Smart Learning Environments (SLEs) for Hybrid Learning (HL) support by integrating Generative Artificial Intelligence (GenAI) tools in a way that is aligned with the preferences and values of human stakeholders. This article focuses on analyzing the problems of this research context, as well as the affordances that GenAI can bring to solve these problems, but considering also the risks and challenges associated with the use of GenAI in education. The paper also details the objectives, methodology, and work plan, and expected contributions of the project in this context.This work was supported by grants PID2023-146692OB-C31, PID2023-146692OB-C32 and PID2023-146692OB-C33 funded by MICIU/AEI/10.13039/501100011033 and by ERDF/EU, project GENIELearn. DHL (Serra Húnter) acknowledges support by ICREA Academia.Science and Technology Publications2025202520252025info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/71887https://doi.org/10.5220/0013076000003932reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésDelgado Kloos C, Asensio-Perez JI, Hernandez-Leo D, Manuel Moreno-Marcos P, Bote-Lorenzo ML, Santos P, Alario-Hoyos C, Dimitriadis Y, Tabuenca B. Proceedings of the 17th International Conference on Computer Supported Education. Porto: CSEDU; 2025. p. 15-26. DOI: 10.5220/0013076000003932du Boulay B, Di Mascio T, Tovar E, Meinel C (eds.). Proceedings of the 17th International Conference on Computer Supported Education. Vol. 2. Porto: SCITEPRESS; 2025. p. 15-26.info:eu-repo/grantAgreement/ES/3PE/PID2023-146692OB-C33info:eu-repo/grantAgreement/ES/3PE/PID2023-146692OB-C32© 2025 by Paper published under CC license (CC BY-NC-ND 4.0)http://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/718872026-06-12T07:21:37Z
dc.title.none.fl_str_mv GENIE Learn: human-centered generative AI-enhanced smart learning environments
title GENIE Learn: human-centered generative AI-enhanced smart learning environments
spellingShingle GENIE Learn: human-centered generative AI-enhanced smart learning environments
Delgado Kloos, Carlos
Smart Learning Environments
Hybrid Learning
Generative Artificial Intelligence
Human Centeredness
title_short GENIE Learn: human-centered generative AI-enhanced smart learning environments
title_full GENIE Learn: human-centered generative AI-enhanced smart learning environments
title_fullStr GENIE Learn: human-centered generative AI-enhanced smart learning environments
title_full_unstemmed GENIE Learn: human-centered generative AI-enhanced smart learning environments
title_sort GENIE Learn: human-centered generative AI-enhanced smart learning environments
dc.creator.none.fl_str_mv Delgado Kloos, Carlos
Asensio-Pérez, Juan I.
Hernández Leo, Davinia
Moreno-Marcos, Pedro Manuel
Bote-Lorenzo, Miguel L.
Santos Rodríguez, Patrícia
Alario-Hoyos, Carlos
Dimitriadis, Yannis
Tabuenca, Bernardo
author Delgado Kloos, Carlos
author_facet Delgado Kloos, Carlos
Asensio-Pérez, Juan I.
Hernández Leo, Davinia
Moreno-Marcos, Pedro Manuel
Bote-Lorenzo, Miguel L.
Santos Rodríguez, Patrícia
Alario-Hoyos, Carlos
Dimitriadis, Yannis
Tabuenca, Bernardo
author_role author
author2 Asensio-Pérez, Juan I.
Hernández Leo, Davinia
Moreno-Marcos, Pedro Manuel
Bote-Lorenzo, Miguel L.
Santos Rodríguez, Patrícia
Alario-Hoyos, Carlos
Dimitriadis, Yannis
Tabuenca, Bernardo
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Smart Learning Environments
Hybrid Learning
Generative Artificial Intelligence
Human Centeredness
topic Smart Learning Environments
Hybrid Learning
Generative Artificial Intelligence
Human Centeredness
description This paper presents the basis of the GENIE Learn project, a coordinated three-year research project funded by the Spanish Research Agency. The main goal of GENIE Learn is to improve Smart Learning Environments (SLEs) for Hybrid Learning (HL) support by integrating Generative Artificial Intelligence (GenAI) tools in a way that is aligned with the preferences and values of human stakeholders. This article focuses on analyzing the problems of this research context, as well as the affordances that GenAI can bring to solve these problems, but considering also the risks and challenges associated with the use of GenAI in education. The paper also details the objectives, methodology, and work plan, and expected contributions of the project in this context.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/71887
https://doi.org/10.5220/0013076000003932
url http://hdl.handle.net/10230/71887
https://doi.org/10.5220/0013076000003932
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Delgado Kloos C, Asensio-Perez JI, Hernandez-Leo D, Manuel Moreno-Marcos P, Bote-Lorenzo ML, Santos P, Alario-Hoyos C, Dimitriadis Y, Tabuenca B. Proceedings of the 17th International Conference on Computer Supported Education. Porto: CSEDU; 2025. p. 15-26. DOI: 10.5220/0013076000003932
du Boulay B, Di Mascio T, Tovar E, Meinel C (eds.). Proceedings of the 17th International Conference on Computer Supported Education. Vol. 2. Porto: SCITEPRESS; 2025. p. 15-26.
info:eu-repo/grantAgreement/ES/3PE/PID2023-146692OB-C33
info:eu-repo/grantAgreement/ES/3PE/PID2023-146692OB-C32
dc.rights.none.fl_str_mv © 2025 by Paper published under CC license (CC BY-NC-ND 4.0)
http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © 2025 by Paper published under CC license (CC BY-NC-ND 4.0)
http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Science and Technology Publications
publisher.none.fl_str_mv Science and Technology Publications
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407706334363648
score 15,812429