Publication
Learning emergent digital technologies: the experience in the internet of things course unit
dc.contributor.author | Leitão, Paulo | |
dc.contributor.author | Piardi, Luis | |
dc.contributor.author | Sakurada, Lucas | |
dc.contributor.author | Mendes, Andre C. | |
dc.date.accessioned | 2023-12-20T16:39:18Z | |
dc.date.available | 2023-12-20T16:39:18Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Industry 4.0 is re-shaping the way companies and individuals operate, but it is also introducing strong demands in education processes to train professionals with adequate competencies in emergent digital technologies, e.g., Internet of Things (IoT), Artificial Intelligence and collaborative robotics. In the last decade, innovative educational methods are being applied, e.g., problem-based learning and project-based learning, to move the traditional education approach into a more student-centric process where the student has a more active role. Recent studies point out that the combination of such educational methods is beneficial, each one selected according to the particularities of the learning subject and objective. Having this in mind, this paper describes the application of a learning methodology that combines different educational methods, namely face-toface, problem-based learning and project-based learning, in a teaching course unit focusing on IoT technologies. The achieved results show an increase of the student’s assessment performance, motivation and satisfaction, and the opportunity to consolidate their acquired knowledge with hands-on practice. This approach also stimulates the acquisition of soft skills, mainly teamwork, communication, creativity and critical thinking. | pt_PT |
dc.description.sponsorship | The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Leitão, Paulo; Piardi, Luis; Sakurada, Lucas; Mendes, André (2023). Learning emergent digital technologies: the experience in the internet of things course unit. In 21st International Conference on Industrial Informatics (INDIN), Lemgo, Germany, 18-20 July 2023. ISBN 978-1-6654-9313-0. p. 1-6 | pt_PT |
dc.identifier.doi | 10.1109/INDIN51400.2023.10218278 | pt_PT |
dc.identifier.isbn | 978-1-6654-9313-0 | |
dc.identifier.uri | http://hdl.handle.net/10198/29007 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | IEEE | pt_PT |
dc.relation | LA/P/0007/2021 | pt_PT |
dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Education | pt_PT |
dc.subject | Internet of things | pt_PT |
dc.subject | Industry 4.0. | pt_PT |
dc.title | Learning emergent digital technologies: the experience in the internet of things course unit | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
oaire.citation.endPage | 6 | pt_PT |
oaire.citation.startPage | 1 | pt_PT |
oaire.citation.title | 21st International Conference on Industrial Informatics (INDIN) | pt_PT |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | 6817 - DCRRNI ID | |
person.familyName | Leitão | |
person.familyName | Piardi | |
person.familyName | Mendes | |
person.givenName | Paulo | |
person.givenName | Luís | |
person.givenName | Andre C. | |
person.identifier | A-8390-2011 | |
person.identifier.ciencia-id | 8316-8F13-DA71 | |
person.identifier.ciencia-id | C51A-82DB-016F | |
person.identifier.ciencia-id | 6718-7AE9-0953 | |
person.identifier.orcid | 0000-0002-2151-7944 | |
person.identifier.orcid | 0000-0003-1627-8210 | |
person.identifier.orcid | 0000-0001-6390-1250 | |
person.identifier.scopus-author-id | 35584388900 | |
person.identifier.scopus-author-id | 54920397900 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
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