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Industrial Automation Self-Learning Through the Develoment of Didactic Industrial Processes

dc.contributor.authorCordeiro, A.
dc.contributor.authorAbraços, M.
dc.contributor.authorMonteiro, L.
dc.contributor.authorAndrade, E.
dc.contributor.authorFoito, Daniel José Medronho
dc.date.accessioned2017-10-26T07:58:02Z
dc.date.available2017-10-26T07:58:02Z
dc.date.issued2017-09
dc.descriptionTrabalho apresentado no 20th International Conference on Interactive Collaborative Learning, 27-29 de setembro 2017, Budapeste, Hungriapt_PT
dc.description.abstractTeaching industrial automation is a complex mission. The classical approach is based on lectures and laboratories assisted by teachers. Nevertheless, teaching industrial automation using the classical approach is not easy because this multidisciplinary area requires knowledge in control, energy, electronics, robotics and computer engineering, among others. In this way, this paper presents an approach to teach Industrial Automation based on a self learning strategy. Instead of using the classical approach, students must develop a research work and a didactic automation prototype. The results of this methodology indicate that students increase the interest about industrial automation and clarify important aspects of assembly, commissioning, parameterization and programming of electric and electronic devices. Additionally this methodology seems to increase self-confidence of students and give them the necessary background to face the challenge of working in the real world.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/19128
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectIndustrial Automationpt_PT
dc.subjectDidactic equipmentpt_PT
dc.subjectSelf-learningpt_PT
dc.titleIndustrial Automation Self-Learning Through the Develoment of Didactic Industrial Processespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBudapest, Hungarypt_PT
oaire.citation.title20th International Conference on Interactive Collaborative Learningpt_PT
person.familyNameMedronho Foito
person.givenNameDaniel José
person.identifier.ciencia-idB81F-6757-DFBB
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication8701cb80-898c-48c6-9fde-df3ff644f8f1
relation.isAuthorOfPublication.latestForDiscovery8701cb80-898c-48c6-9fde-df3ff644f8f1

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