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Artificial Intelligence in Learning: An Integrative Framework for Education 4.0

datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg01:Erradicar a Pobreza
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorLourenço, Abílio A.en_US
dc.contributor.authorValente, Sabinaen_US
dc.contributor.authorCorresponding author: Lourenço, Abílio A..en_US
dc.date.accessioned2026-04-27T11:11:44Z
dc.date.available2026-04-27T11:11:44Z
dc.date.issued2026-03-20en_US
dc.date.updated2026-03-20T19:57:26Z
dc.description.abstractThe integration of artificial intelligence into learning represents a paradigmatic transformation in contemporary education, offering unprecedented scale personalisation whilst also posing ethical and equity challenges. This article presents a critical and practical perspective on the potential and limitations of educational technologies and artificial intelligence to support academic success, analysing collaborative digital tools, adaptive systems and intelligent tutors, artificial intelligence as support for self-regulated learning (Zimmerman model) and systemic risks such as privacy, algorithmic biases and the global digital divide. Through systematic review of recent literature (Scopus/ERIC/WoS databases), empirical evidence is mapped regarding gains in motivation, retention and autonomy, balanced by technical and social limitations. The chapter’s flow ranges from basic platforms to advanced applications, critical challenges, and sustainable, integrative proposals. It is concluded that artificial intelligence potentiates self-regulation cycles but requires ethical frameworks for equitable implementation, and proposes practical recommendations for educators, institutions and public policies towards Education 4.0. This analysis contributes to the academic debate on responsible artificial intelligence and promotes autonomous and inclusive learning on a global scale.eng
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.citationLourenço, A. A., & Valente, S. (2026). Artificial Intelligence in Learning: An Integrative Framework for Education 4.0. Creative Education, 17, 393- 422. https://doi.org/10.4236/ce.2026.173025
dc.identifier.doi10.4236/ce.2026.173025en_US
dc.identifier.issn2151-4755en_US
dc.identifier.issn2151-4771en_US
dc.identifier.slugcv-prod-4919942
dc.identifier.urihttp://hdl.handle.net/10400.26/62888
dc.language.isoeng
dc.peerreviewedyes
dc.publisherScientific Research Publishing Inc
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial Intelligence
dc.subjectInformation Technologies
dc.subjectPersonalised Learning
dc.subjectSelf-Regulation
dc.subjectEducational Technologies
dc.subjectIntelligent Tutors
dc.titleArtificial Intelligence in Learning: An Integrative Framework for Education 4.0en_US
dc.typeresearch articleen_US
dspace.entity.typePublication
oaire.citation.endPage422
oaire.citation.issue03en_US
oaire.citation.startPage393
oaire.citation.titleCreative Educationen_US
oaire.citation.volume17en_US
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
rcaap.cv.cienciaidC217-EC15-E83A | Maria Sabina Madureira Nunes Valente
rcaap.rightsopenAccessen_US

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