Enhancing Higher Education in Portugal: Leveraging generative Artificial Intelligence for learning-teaching process

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dc.contributor.authorSantos-Pereira, Carla
dc.contributor.authorFerreira, Maria João
dc.contributor.authorSobral, Sónia Rolland
dc.contributor.authorDurão, Natércia
dc.contributor.authorMoreira, Fernando
dc.date.accessioned2024-10-25T11:07:13Z
dc.date.available2024-10-25T11:07:13Z
dc.date.issued2024-10-23
dc.description.abstractRecent advancements in Generative Artificial Intelligence (GAI) have revolutionized numerous fields, including higher education. This study focuses on the integration of GAI in Portuguese higher education institutions and explores its multifaceted implications and potential. Our research, conducted through a comprehensive survey between April and June 2023, engages with higher education faculty to understand their perceptions and utilization of GAI tools in teaching and learning processes. The potential of GAI to enhance personalized learning and interactive teaching methodologies is significant. It enables the creation of customized educational content, interactive simulations, and real-time feedback mechanisms, thus reducing the educators' workload and enhancing the learning experience. However, this integration is not without challenges. The study identifies critical ethical concerns around the use of GAI, including data privacy, intellectual property, and the potential for bias in AI-generated content. Additionally, our findings indicate varying acceptance and readiness among educators to adopt these technologies. While some express enthusiasm for the potential of GAI to transform educational practices, others remain cautious, highlighting the need for comprehensive training and support to leverage GAI capabilities fully. This paper captures the essence of the study's findings, illustrating both the promising opportunities and the complex challenges associated with using Generative AI in higher education. Higher education institutions can significantly enhance teaching and learning landscapes by addressing these challenges and fostering an informed and ethical approach to GAI integration.
dc.identifier.citationSantos-Pereira, C., Ferreira, M. J., Sobral, S. R., Durão, N., & Moreira, F. (2024). Enhancing Higher Education in Portugal: Leveraging generative Artificial Intelligence for learning-teaching process. In Proceedings of the 23rd European Conference on e-Learning - ECEL 2024, 23(1). Porto, Portugal, 24-25 October 2024, (pp. 289-298). Academic Conferences International Limited. https://doi.org/10.34190/ecel.23.1.2503. Repositório Institucional UPT. https://hdl.handle.net/11328/5985
dc.identifier.urihttps://hdl.handle.net/11328/5985
dc.language.isoeng
dc.publisherAcademic Conferences International Limited
dc.relation.hasversionhttps://doi.org/10.34190/ecel.23.1.2503
dc.rightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectGenerative AI (GAI)
dc.subjectHigher education
dc.subjectPersonalized learning
dc.subjectEthical implications
dc.subjectEducational outcomes
dc.subject.fosCiências Naturais - Ciências da Computação e da Informação
dc.titleEnhancing Higher Education in Portugal: Leveraging generative Artificial Intelligence for learning-teaching process
dc.typeconference paper
dcterms.referenceshttps://papers.academic-conferences.org/index.php/ecel/article/view/2503
dspace.entity.typePublication
oaire.citation.conferenceDate2024-10-24
oaire.citation.conferencePlacePorto, Portugal
oaire.citation.endPage298
oaire.citation.issue1
oaire.citation.startPage289
oaire.citation.titleProceedings of the 23rd European Conference on e-Learning - ECEL 2024
oaire.citation.volume23
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.affiliation.nameREMIT
person.affiliation.nameREMIT – Research on Economics, Management and Information Technologies
person.affiliation.nameREMIT – Research on Economics, Management and Information Technologies
person.affiliation.nameREMIT – Research on Economics, Management and Information Technologies
person.affiliation.nameUniversidade Portucalense
person.familyNameSantos-Pereira
person.familyNameFerreira
person.familyNameSobral
person.familyNameDurão
person.familyNameMoreira
person.givenNameCarla
person.givenNameMaria João
person.givenNameSónia Rolland
person.givenNameNatércia
person.givenNameFernando
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person.identifier.scopus-author-id12794047600
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