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dc.contributor.authorManco-Chávez, José Antonio
dc.contributor.authorManco Arroyo, Nicolas Silver
dc.contributor.authorSánchez Aguirre, Flor de María
dc.contributor.authorCampos Saravia, Reynaldo
dc.contributor.authorDiaz Hinostroza, Mary Rosaura
dc.contributor.authorBlas Montenegro, Luz Petronila
dc.contributor.authorMuñante Toledo, Melissa Fatima
dc.contributor.authorCrisóstomo Olivares, Jorge Antonio
dc.contributor.authorBarazorda Puga, Nancy
dc.date.accessioned2023-12-20T15:26:37Z
dc.date.available2023-12-20T15:26:37Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/20.500.13067/2876
dc.description.abstractUntil the present, the technology has made students and teachers to object in its use, the quick development of it in engineering has been possible by the appearance of the covid-19, the objective of this investigation is to respond to the following question: why engineering and computer science students would have to learn artificial intelligence? It can be said that the students learning of these disciplines study or develop competences like the creation of: A.I. in mechanics, robotics, biological sciences, physical sciences, etc., from where they could develop, such as the advanced neural networks. The method used for this research is the PRISMA which allowed through the keyword of A.I. and Computer Science in the database of Scopus, Wos, World Wide Science, Scielo, Dialnet, from where we then have a large number of research articles that will have to be filtered, having as a result in the first search 321 952 articles, which were then filtered at various times until reaching the number of 320 429 filtered articles leaving us with 37 of them related or linked to research on A.I. and computer science. In conclusion, A.I. applied by engineering schools of all specialties has granted the development for companies and technological contributions to the new digital culture.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherInternational Journal of Membrane Science and Technologyes_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_PE
dc.subjectArtificial intelligencees_PE
dc.subjectTechnology Approaches_PE
dc.subjectIntelligent Computeres_PE
dc.subjectRobot Automataes_PE
dc.subjectNeural Intelligencees_PE
dc.subjectAgent Researches_PE
dc.subjectComputational Intelligencees_PE
dc.titleArtificial Intelligence in Engineering and Computer Science Learning: Systematic Review Articlees_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journalInternational Journal of Membrane Science and Technologyes_PE
dc.identifier.doihttps://doi.org/10.15379/ijmst.v10i3.1514
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.relation.urlhttps://cosmosscholars.com/phms/index.php/ijmst/article/view/1514es_PE
dc.source.volume10es_PE
dc.source.issue3es_PE
dc.source.beginpage221es_PE
dc.source.endpage233es_PE


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