dc.creatorManco-Chávez, José Antonio
dc.creatorManco Arroyo, Nicolas Silver
dc.creatorSánchez Aguirre, Flor de María
dc.creatorCampos Saravia, Reynaldo
dc.creatorDiaz Hinostroza, Mary Rosaura
dc.creatorBlas Montenegro, Luz Petronila
dc.creatorMuñante Toledo, Melissa Fatima
dc.creatorCrisóstomo Olivares, Jorge Antonio
dc.creatorBarazorda Puga, Nancy
dc.date.accessioned2023-12-20T15:26:37Z
dc.date.accessioned2024-08-06T21:10:48Z
dc.date.available2023-12-20T15:26:37Z
dc.date.available2024-08-06T21:10:48Z
dc.date.created2023-12-20T15:26:37Z
dc.date.issued2023
dc.identifierhttps://hdl.handle.net/20.500.13067/2876
dc.identifierInternational Journal of Membrane Science and Technology
dc.identifierhttps://doi.org/10.15379/ijmst.v10i3.1514
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9539673
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.
dc.languageeng
dc.publisherInternational Journal of Membrane Science and Technology
dc.relationhttps://cosmosscholars.com/phms/index.php/ijmst/article/view/1514
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.source10
dc.source3
dc.source221
dc.source233
dc.subjectArtificial intelligence
dc.subjectTechnology Approach
dc.subjectIntelligent Computer
dc.subjectRobot Automata
dc.subjectNeural Intelligence
dc.subjectAgent Research
dc.subjectComputational Intelligence
dc.titleArtificial Intelligence in Engineering and Computer Science Learning: Systematic Review Article
dc.typeinfo:eu-repo/semantics/article


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