The promise and challenges of generative AI in education

Generative artificial intelligence (GenAI) tools, such as large language models (LLMs), generate natural language and other types of content to perform a wide range of tasks. This represents a significant technological advancement that poses opportunities and challenges to educational research and p...

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Autores: Giannakos, Michail, Azevedo, Roger, Brusilovsky, Peter, Cukurova, Mutlu, Dimitriadis, Yannis, Hernández-Leo, Davinia, Järvelä, Sanna, Mavrikise, Manolis, Rienties, Bart
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2025
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositório:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/70423
Acesso em linha:http://hdl.handle.net/10230/70423
http://dx.doi.org/10.1080/0144929X.2024.2394886
Access Level:Acceso aberto
Palavra-chave:Generative AI in education
AI in education
Large language models
Commentary
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spelling The promise and challenges of generative AI in educationGiannakos, MichailAzevedo, RogerBrusilovsky, PeterCukurova, MutluDimitriadis, YannisHernández-Leo, DaviniaJärvelä, SannaMavrikise, ManolisRienties, BartGenerative AI in educationAI in educationLarge language modelsCommentaryGenerative artificial intelligence (GenAI) tools, such as large language models (LLMs), generate natural language and other types of content to perform a wide range of tasks. This represents a significant technological advancement that poses opportunities and challenges to educational research and practice. This commentary brings together contributions from nine experts working in the intersection of learning and technology and presents critical reflections on the opportunities, challenges, and implications related to GenAI technologies in the context of education. In the commentary, it is acknowledged that GenAI’s capabilities can enhance some teaching and learning practices, such as learning design, regulation of learning, automated content, feedback, and assessment. Nevertheless, we also highlight its limitations, potential disruptions, ethical consequences, and potential misuses. The identified avenues for further research include the development of new insights into the roles human experts can play, strong and continuous evidence, human-centric design of technology, necessary policy, and support and competence mechanisms. Overall, we concur with the general skeptical optimism about the use of GenAI tools such as LLMs in education. Moreover, we highlight the danger of hastily adopting GenAI tools in education without deep consideration of the efficacy, ecosystem-level implications, ethics, and pedagogical soundness of such practices.Taylor & Francis202520252025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/70423http://dx.doi.org/10.1080/0144929X.2024.2394886reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésBehaviour & Information Technology. 2025;44(11):2518-44© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis GroupThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the AcceptedManuscript in a repository by the author(s) or with their consent.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/704232026-05-29T05:05:01Z
dc.title.none.fl_str_mv The promise and challenges of generative AI in education
title The promise and challenges of generative AI in education
spellingShingle The promise and challenges of generative AI in education
Giannakos, Michail
Generative AI in education
AI in education
Large language models
Commentary
title_short The promise and challenges of generative AI in education
title_full The promise and challenges of generative AI in education
title_fullStr The promise and challenges of generative AI in education
title_full_unstemmed The promise and challenges of generative AI in education
title_sort The promise and challenges of generative AI in education
dc.creator.none.fl_str_mv Giannakos, Michail
Azevedo, Roger
Brusilovsky, Peter
Cukurova, Mutlu
Dimitriadis, Yannis
Hernández-Leo, Davinia
Järvelä, Sanna
Mavrikise, Manolis
Rienties, Bart
author Giannakos, Michail
author_facet Giannakos, Michail
Azevedo, Roger
Brusilovsky, Peter
Cukurova, Mutlu
Dimitriadis, Yannis
Hernández-Leo, Davinia
Järvelä, Sanna
Mavrikise, Manolis
Rienties, Bart
author_role author
author2 Azevedo, Roger
Brusilovsky, Peter
Cukurova, Mutlu
Dimitriadis, Yannis
Hernández-Leo, Davinia
Järvelä, Sanna
Mavrikise, Manolis
Rienties, Bart
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Generative AI in education
AI in education
Large language models
Commentary
topic Generative AI in education
AI in education
Large language models
Commentary
description Generative artificial intelligence (GenAI) tools, such as large language models (LLMs), generate natural language and other types of content to perform a wide range of tasks. This represents a significant technological advancement that poses opportunities and challenges to educational research and practice. This commentary brings together contributions from nine experts working in the intersection of learning and technology and presents critical reflections on the opportunities, challenges, and implications related to GenAI technologies in the context of education. In the commentary, it is acknowledged that GenAI’s capabilities can enhance some teaching and learning practices, such as learning design, regulation of learning, automated content, feedback, and assessment. Nevertheless, we also highlight its limitations, potential disruptions, ethical consequences, and potential misuses. The identified avenues for further research include the development of new insights into the roles human experts can play, strong and continuous evidence, human-centric design of technology, necessary policy, and support and competence mechanisms. Overall, we concur with the general skeptical optimism about the use of GenAI tools such as LLMs in education. Moreover, we highlight the danger of hastily adopting GenAI tools in education without deep consideration of the efficacy, ecosystem-level implications, ethics, and pedagogical soundness of such practices.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
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 http://hdl.handle.net/10230/70423
http://dx.doi.org/10.1080/0144929X.2024.2394886
url http://hdl.handle.net/10230/70423
http://dx.doi.org/10.1080/0144929X.2024.2394886
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Behaviour & Information Technology. 2025;44(11):2518-44
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
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