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Artificial intelligence language models: the path to development or regression for education?

2024Conference paper Open access
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dc.contributor.authorGonçalves, Bruno F.
dc.contributor.authorGonçalves, Vitor
dc.date.accessioned2024-02-19T14:06:08Z
dc.date.available2024-02-19T14:06:08Z
dc.date.issued2024
dc.description.abstractArtificial intelligence language models have the potential to transform various aspects of the world, for example in the areas of human communication, industry, and science. However, the evolution of these language models also raises concerns about issues related to privacy, security, ethics and responsibility. In this sense, this exploratory research, supported by a literature review, aims to determine the benefits and risks of using these models in an educational context, namely, the ChatGPT (Generative Pre-trained Transformer). The ChatGPT is an artificial language model developed by OpenAI that can be used to generate nat- ural language responses to a wide variety of questions and tasks. This model is trained on a large set of text data and uses deep learning techniques to generate relevant and contextually appropriate answers. Since this technology was launched very recently, in November 2022, in addition to the literature review, the authors make an evaluation of the technology with support in the interaction with it. The results of the research point to the existence of a set of educational potentialities, but also a range of risks in the use of this technology.pt_PT
dc.description.sponsorshipThis work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05777/2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGonçalves, Bruno F.; Gonçalves, Vitor (2024). Artificial intelligence language models: the path to development or regression for education? In International Conference on Management, Tourism and Technologies, ICMTT 2023. Cham: Springer Nature, p. 56-65. ISBN 978-3-031-44130-1pt_PT
dc.identifier.doi10.1007/978-3-031-44131-8_6pt_PT
dc.identifier.isbn978-3-031-44130-1
dc.identifier.urihttp://hdl.handle.net/10198/29529
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationResearch Center in Basic Education
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectArtificial intelligencept_PT
dc.subjectChatGPTpt_PT
dc.subjectEducationpt_PT
dc.subjectTeaching-learning processpt_PT
dc.titleArtificial intelligence language models: the path to development or regression for education?pt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Center in Basic Education
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05777%2F2020/PT
oaire.citation.endPage65pt_PT
oaire.citation.startPage56pt_PT
oaire.citation.titleInternational Conference on Management, Tourism and Technologies—ICMTT 2023pt_PT
oaire.citation.volume773pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameGonçalves
person.familyNameGonçalves
person.givenNameBruno F.
person.givenNameVítor
person.identifier.ciencia-id311F-2464-A92D
person.identifier.ciencia-idA310-FFD6-55A1
person.identifier.orcid0000-0002-7541-3673
person.identifier.orcid0000-0002-0645-6776
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationb13133cb-538d-45be-b721-2086620fd7aa
relation.isAuthorOfPublication51ba4541-fca8-4932-ac25-2fe98006bdb9
relation.isAuthorOfPublication.latestForDiscoveryb13133cb-538d-45be-b721-2086620fd7aa
relation.isProjectOfPublication4413d006-5f3f-454d-8e17-fd310f2d34e0
relation.isProjectOfPublication.latestForDiscovery4413d006-5f3f-454d-8e17-fd310f2d34e0

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