Analyzing how university is preparing engineering students for industry 4.0.

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversity of Brasília, Mechatronic System Graduate Program-
Autor(es): dc.contributorUniversity of Brasília, Mechatronic System Graduate Program-
Autor(es): dc.contributorUniversity of Brasília, Department of Mechanical Engineering-
Autor(es): dc.creatorJorge, Jéssica Mendes-
Autor(es): dc.creatorOliveira, Alexandre Crepory Abbott de-
Autor(es): dc.creatorSantos, Andrea Cristina dos-
Data de aceite: dc.date.accessioned2024-10-23T15:14:49Z-
Data de disponibilização: dc.date.available2024-10-23T15:14:49Z-
Data de envio: dc.date.issued2024-02-29-
Data de envio: dc.date.issued2024-02-29-
Data de envio: dc.date.issued2019-
Fonte completa do material: dc.identifierhttp://repositorio2.unb.br/jspui/handle/10482/47964-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/878223-
Descrição: dc.descriptionIndustry 4.0 is causing a lot of changes related to the way people work, bringing a demand for a new worker profile, mainly for engineers, that need to have not only technical skills but also methodological, social and personal skills. So, there is a need to study and identify how the university prepares engineering students for Industry 4.0 jobs. To achieve this objective a literature review was made, twenty nine skills of Industry 4.0 jobs were identified, and eight active learning methodologies were selected like paths that universities can use to develop skills for the Industry 4.0. To analyze how a university can use active learning methodologies to develop Industry 4.0 skills in engineering students, a questionnaire was applied in four engineering classes of the University of Brasilia, where the professors answered about the active learning methodology used and what skills were developed in the students, and the students answer the questionnaire with what skills they developed. A correlation analysis was applied to detect the different points of view between professors and students. Then, a decision tree was used to identify what skills were most developed by the active learning methodology used by the professor. The results show that are some divergences between the two points of view, and the questionnaire needs to be adaptable to measure with more reliability the skills that the professor wants to develop in each engineering class.-
Descrição: dc.descriptionFaculdade de Tecnologia (FT)-
Descrição: dc.descriptionDepartamento de Engenharia Mecânica (FT ENM)-
Descrição: dc.descriptionPrograma de Pós-Graduação em Sistemas Mecatrônicos-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsAcesso Aberto-
Direitos: dc.rightsThis article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).-
Palavras-chave: dc.subjectEngenharia - estudo e ensino-
Palavras-chave: dc.subjectAprendizagem ativa-
Palavras-chave: dc.subjectIndústria 4.0-
Título: dc.titleAnalyzing how university is preparing engineering students for industry 4.0.-
Aparece nas coleções:Repositório Institucional – UNB

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