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Application of the Industry 4.0 Technologies to Mobile Learning and Health Education Apps

2021Journal article Open access
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dc.contributor.authorMateus-Coelho, Nuno
dc.contributor.authorCruz-Cunha, Maria Manuela
dc.contributor.authorÁvila, Paulo
dc.date.accessioned2022-01-25T11:54:38Z
dc.date.available2022-01-25T11:54:38Z
dc.date.issued2021
dc.description.abstractThe so-called fourth industrial revolution brought a disruptive change in the way that communication technologies, distributed systems, intelligent data management, analytics and computational capability and other technologies are integrated to enable new functions and enhance capabilities not only to production systems, but also in many other domains such as education. Mobile Health (m-Health) education is one of these, where the number of applications and tools for m-Health education is extensive. The SARS-Cov2 (Covid-19) pandemic brought to life immense challenges towards education, technology, and the symbiosis with medicine. This paper introduces 31 of the current state-of-the-art m-Health education applications and analyses the results of an an inquiry to students and junior doctors during the confinement, designed to understanding their knowledge, use and trust regarding these apps. The results show that several applications are well perceived by their users and deserved their trust andconfirms a good relation between use and trust on the applications analysed. This analysis open doors to a deeper study to evaluate at which extent improving m-Health education means not only to transmit knowledge but also to developing skills and better practices.pt_PT
dc.description.sponsorshipThis work was funded by the project “NORTE-01- 0145-FEDER-000045”, supported by Northern Portugal Regional Operational Programme (Norte2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (FEDER). It was also funded by national funds, through the FCT – Fun– dação para a Ciência e Tecnologia and FCT/MCTES in the scope of the project UIDB/05549/2020 and UIDP/05549/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.5937/fme2104876Mpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/19659
dc.language.isoengpt_PT
dc.publisherFaculty of Mechanical Engineering, Belgradept_PT
dc.relationApplied Artificial Intelligence Laboratory
dc.relationApplied Artificial Intelligence Laboratory
dc.relation.publisherversionhttps://www.mas.bg.ac.rs/istrazivanje/fme/vol49pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectIndustry 4.0pt_PT
dc.subjectEducation 4.0pt_PT
dc.subjectMobile learningpt_PT
dc.subjectMobile healthpt_PT
dc.subjectEducationpt_PT
dc.subjectHealthpt_PT
dc.titleApplication of the Industry 4.0 Technologies to Mobile Learning and Health Education Appspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleApplied Artificial Intelligence Laboratory
oaire.awardTitleApplied Artificial Intelligence Laboratory
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05549%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05549%2F2020/PT
oaire.citation.endPage885pt_PT
oaire.citation.startPage876pt_PT
oaire.citation.titleFME Transactionspt_PT
oaire.citation.volume49pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameÁvila
person.givenNamePaulo
person.identifier631747
person.identifier.ciencia-id5F17-10EE-C0CE
person.identifier.orcid0000-0001-8420-0875
person.identifier.scopus-author-id8609138000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery444efa0f-ca28-4743-8e78-7d31b0abde47
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