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Challenges of Artificial Intelligence in Teacher Training: Perceptions of Future Teachers

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosCiências Sociais::Ciências da Educação
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorGonçalves, Bruno F.
dc.contributor.authorPatrício, Maria Raquel
dc.contributor.authorMesquita, Elza
dc.date.accessioned2026-01-09T11:28:29Z
dc.date.available2026-01-09T11:28:29Z
dc.date.issued2026
dc.description.abstractThe growing presence of AI-based tools in teaching practices presents new challenges for training institutions, requiring future teachers to be prepared not only to use these technologies but also to critically understand their implications. This study aims to investigate future teachers’ perceptions of the main challenges of AI in teacher training, focusing on three central dimensions: technological, pedagogical, and ethical challenges. The research employed a quantitative–descriptive approach, utilizing a questionnaire-based method with a sample of 72 participants. The respondents were students enrolled in the Bachelor’s degree in Basic Education and the professional Master’s degree in Teaching at a higher education institution located in northern Portugal. The results not only reveal a widespread perception of the relevance of AI for pedagogical practice but also point to significant limitations. On the technological level, difficulties related to the available infrastructure and the digital training of teachers in training stand out. Pedagogical challenges are associated with the effective integration of AI tools into teaching strategies, as well as the redefinition of the teacher’s role in a technology-mediated setting. Finally, ethical challenges include concerns about data privacy, algorithm transparency, and the risks of dehumanization of the educational process. It is concluded that teacher training should incorporate a critical and interdisciplinary approach to AI, promoting technical, pedagogical, and ethical skills that enable future educators to act responsibly and conscientiously in an increasingly digital and automated educational setting.eng
dc.description.sponsorshipThis work has been supported by FCT – Fundação para a Ciência e Tecnologia within the project scope: UID/05777/2023.
dc.identifier.citationGonçalves, Bruno F., Patrício, Maria Raquel; Mesquita, Elza (2026). Challenges of Artificial Intelligence in Teacher Training: Perceptions of Future Teachers. In Construction of a learning society: Theories, experiences and future trends in lifelong learning. London: IntechOpen. p. 1-15. ISBN 978-0-85014-117-7
dc.identifier.doi10.5772/intechopen.1013431
dc.identifier.isbn978-0-85014-117-7
dc.identifier.urihttp://hdl.handle.net/10198/35425
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIntechOpen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial intelligence
dc.subjectChallenges
dc.subjectFuture teachers
dc.subjectPerceptions
dc.subjectTeacher training
dc.titleChallenges of Artificial Intelligence in Teacher Training: Perceptions of Future Teacherspor
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage15
oaire.citation.startPage1
oaire.citation.titleIntechOpen
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameGonçalves
person.familyNamePatrício
person.familyNameMesquita
person.givenNameBruno F.
person.givenNameMaria Raquel
person.givenNameElza
person.identifier.ciencia-id311F-2464-A92D
person.identifier.ciencia-id051D-396D-C327
person.identifier.ciencia-id9E10-C661-435A
person.identifier.orcid0000-0002-7541-3673
person.identifier.orcid0000-0001-5715-763X
person.identifier.orcid0000-0001-5986-0839
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relation.isAuthorOfPublication.latestForDiscovery5c706b3b-2980-49ca-a868-893f2cf8d510

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