Artificial intelligence in engineering and computer science learning: systematic review article

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Until the present, the technology has made students and teachers to objectin its use, the quick development of itin 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 sciencestudent...

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Detalles Bibliográficos
Autores: Barazorda Puga, Nancy, Manco-Chávez, José Antonio, Manco Arroyo, Nicolas Silver, Flor de María, Sánchez Aguirre, Campos Saravia, Reynaldo, Diaz Hinostroza, Mary Rosaura, Blas Montenegro, Luz Petronila, Muñante Toledo, Melissa Fatima, Crisóstomo Olivares, Jorge Antonio
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/7814
Enlace del recurso:https://hdl.handle.net/20.500.12867/7814
https://doi.org/10.15379/ijmst.v10i3.1514
Nivel de acceso:acceso abierto
Materia:Artificial intelligence
Engineering students
Higher education
https://purl.org/pe-repo/ocde/ford#5.03.01
https://purl.org/pe-repo/ocde/ford#2.00.00
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dc.title.es_PE.fl_str_mv Artificial intelligence in engineering and computer science learning: systematic review article
title Artificial intelligence in engineering and computer science learning: systematic review article
spellingShingle Artificial intelligence in engineering and computer science learning: systematic review article
Barazorda Puga, Nancy
Artificial intelligence
Engineering students
Higher education
https://purl.org/pe-repo/ocde/ford#5.03.01
https://purl.org/pe-repo/ocde/ford#2.00.00
title_short Artificial intelligence in engineering and computer science learning: systematic review article
title_full Artificial intelligence in engineering and computer science learning: systematic review article
title_fullStr Artificial intelligence in engineering and computer science learning: systematic review article
title_full_unstemmed Artificial intelligence in engineering and computer science learning: systematic review article
title_sort Artificial intelligence in engineering and computer science learning: systematic review article
author Barazorda Puga, Nancy
author_facet Barazorda Puga, Nancy
Manco-Chávez, José Antonio
Manco Arroyo, Nicolas Silver
Flor de María, Sánchez Aguirre
Campos Saravia, Reynaldo
Diaz Hinostroza, Mary Rosaura
Blas Montenegro, Luz Petronila
Muñante Toledo, Melissa Fatima
Crisóstomo Olivares, Jorge Antonio
author_role author
author2 Manco-Chávez, José Antonio
Manco Arroyo, Nicolas Silver
Flor de María, Sánchez Aguirre
Campos Saravia, Reynaldo
Diaz Hinostroza, Mary Rosaura
Blas Montenegro, Luz Petronila
Muñante Toledo, Melissa Fatima
Crisóstomo Olivares, Jorge Antonio
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Barazorda Puga, Nancy
Manco-Chávez, José Antonio
Manco Arroyo, Nicolas Silver
Flor de María, Sánchez Aguirre
Campos Saravia, Reynaldo
Diaz Hinostroza, Mary Rosaura
Blas Montenegro, Luz Petronila
Muñante Toledo, Melissa Fatima
Crisóstomo Olivares, Jorge Antonio
dc.subject.es_PE.fl_str_mv Artificial intelligence
Engineering students
Higher education
topic Artificial intelligence
Engineering students
Higher education
https://purl.org/pe-repo/ocde/ford#5.03.01
https://purl.org/pe-repo/ocde/ford#2.00.00
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#5.03.01
https://purl.org/pe-repo/ocde/ford#2.00.00
description Until the present, the technology has made students and teachers to objectin its use, the quick development of itin 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 sciencestudents would have to learn artificial intelligence? It can be said thatthe 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. andComputer 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, havingas 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 themrelated or linked to research on A.I. and computer science. In conclusion, A.I. applied by engineering schools of all specialties has granted thedevelopment for companies and technological contributions to the new digital culture.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-10-27T22:52:35Z
dc.date.available.none.fl_str_mv 2023-10-27T22:52:35Z
dc.date.issued.fl_str_mv 2023
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.issn.none.fl_str_mv 2410-1869
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12867/7814
dc.identifier.journal.es_PE.fl_str_mv International Journal of Membrane Science and Technology
dc.identifier.doi.none.fl_str_mv https://doi.org/10.15379/ijmst.v10i3.1514
identifier_str_mv 2410-1869
International Journal of Membrane Science and Technology
url https://hdl.handle.net/20.500.12867/7814
https://doi.org/10.15379/ijmst.v10i3.1514
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language eng
dc.relation.ispartofseries.none.fl_str_mv International Journal of Membrane Science and Technology;vol. 10, n° 3
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spelling Barazorda Puga, NancyManco-Chávez, José AntonioManco Arroyo, Nicolas SilverFlor de María, Sánchez AguirreCampos Saravia, ReynaldoDiaz Hinostroza, Mary RosauraBlas Montenegro, Luz PetronilaMuñante Toledo, Melissa FatimaCrisóstomo Olivares, Jorge Antonio2023-10-27T22:52:35Z2023-10-27T22:52:35Z20232410-1869https://hdl.handle.net/20.500.12867/7814International Journal of Membrane Science and Technologyhttps://doi.org/10.15379/ijmst.v10i3.1514Until the present, the technology has made students and teachers to objectin its use, the quick development of itin 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 sciencestudents would have to learn artificial intelligence? It can be said thatthe 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. andComputer 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, havingas 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 themrelated or linked to research on A.I. and computer science. 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