Artificial Intelligence in Engineering and Computer Science Learning: Systematic Review Article

Descripción del Articulo

Until 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 stu...

Descripción completa

Detalles Bibliográficos
Autores: Manco-Chávez, José Antonio, Manco Arroyo, Nicolas Silver, de María, Sánchez Aguirre Flor, Saravia, Reynaldo Campos, Diaz Hinostroza, Mary Rosaura, Montenegro, Luz Petronila Blas, Toledo, Melissa Fatima Muñante, Olivares, Jorge Antonio Crisóstomo, Puga, Nancy Barazorda
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/669634
Enlace del recurso:http://hdl.handle.net/10757/669634
Nivel de acceso:acceso abierto
Materia:Agent Research
Artificial Intelligence
Computational Intelligence
Intelligent Computer
Neural Intelligence
Robot Automata
Technology Approach
id UUPC_3f925322fafbf794495bc97b5046a7d1
oai_identifier_str oai:repositorioacademico.upc.edu.pe:10757/669634
network_acronym_str UUPC
network_name_str UPC-Institucional
repository_id_str 2670
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
Manco-Chávez, José Antonio
Agent Research
Artificial Intelligence
Computational Intelligence
Intelligent Computer
Neural Intelligence
Robot Automata
Technology Approach
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 Manco-Chávez, José Antonio
author_facet Manco-Chávez, José Antonio
Manco Arroyo, Nicolas Silver
de María, Sánchez Aguirre Flor
Saravia, Reynaldo Campos
Diaz Hinostroza, Mary Rosaura
Montenegro, Luz Petronila Blas
Toledo, Melissa Fatima Muñante
Olivares, Jorge Antonio Crisóstomo
Puga, Nancy Barazorda
author_role author
author2 Manco Arroyo, Nicolas Silver
de María, Sánchez Aguirre Flor
Saravia, Reynaldo Campos
Diaz Hinostroza, Mary Rosaura
Montenegro, Luz Petronila Blas
Toledo, Melissa Fatima Muñante
Olivares, Jorge Antonio Crisóstomo
Puga, Nancy Barazorda
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Manco-Chávez, José Antonio
Manco Arroyo, Nicolas Silver
de María, Sánchez Aguirre Flor
Saravia, Reynaldo Campos
Diaz Hinostroza, Mary Rosaura
Montenegro, Luz Petronila Blas
Toledo, Melissa Fatima Muñante
Olivares, Jorge Antonio Crisóstomo
Puga, Nancy Barazorda
dc.subject.es_PE.fl_str_mv Agent Research
Artificial Intelligence
Computational Intelligence
Intelligent Computer
Neural Intelligence
Robot Automata
Technology Approach
topic Agent Research
Artificial Intelligence
Computational Intelligence
Intelligent Computer
Neural Intelligence
Robot Automata
Technology Approach
description Until 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.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-12-08T20:53:16Z
dc.date.available.none.fl_str_mv 2023-12-08T20:53:16Z
dc.date.issued.fl_str_mv 2023-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.doi.none.fl_str_mv 10.15379/ijmst.v10i3.1514
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/669634
dc.identifier.eissn.none.fl_str_mv 24101869
dc.identifier.journal.es_PE.fl_str_mv International Journal of Membrane Science and Technology
dc.identifier.eid.none.fl_str_mv 2-s2.0-85166289146
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85166289146
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 10.15379/ijmst.v10i3.1514
24101869
International Journal of Membrane Science and Technology
2-s2.0-85166289146
SCOPUS_ID:85166289146
0000 0001 2196 144X
url http://hdl.handle.net/10757/669634
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Cosmos Scholars Publishing House
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv International Journal of Membrane Science and Technology
dc.source.volume.none.fl_str_mv 10
dc.source.issue.none.fl_str_mv 3
dc.source.beginpage.none.fl_str_mv 221
dc.source.endpage.none.fl_str_mv 233
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/669634/5/1514-Article%20Text-3027-1-10-20230710.pdf.jpg
https://repositorioacademico.upc.edu.pe/bitstream/10757/669634/4/1514-Article%20Text-3027-1-10-20230710.pdf.txt
https://repositorioacademico.upc.edu.pe/bitstream/10757/669634/3/license.txt
https://repositorioacademico.upc.edu.pe/bitstream/10757/669634/2/license_rdf
https://repositorioacademico.upc.edu.pe/bitstream/10757/669634/1/1514-Article%20Text-3027-1-10-20230710.pdf
bitstream.checksum.fl_str_mv c837481c77bb4686c8e038ef27949849
254f8c39bff142145558f3ed51c93ab3
8a4605be74aa9ea9d79846c1fba20a33
4460e5956bc1d1639be9ae6146a50347
40fc3f908ab692b631f3c38ede033821
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio académico upc
repository.mail.fl_str_mv upc@openrepository.com
_version_ 1846065248026492928
spelling 8f358343021ce3cbddf27a8e1f597aca300b53c541a14644a0dcabf092a3b2e5c40300a8dc3a14569e28808cbcd4bf3f68bf3d30059a9189bf19073f786436683597b15576f0d49a53afb1331e7cbced91556877630006b97cd1da962fd972b3000b275eb36c3008e946726ad4b56ade5aab6e54e35223e3004d5700a63ea5871ed04a2eaf81f90c22300171295e933a493f9bfbc948485e58c30300Manco-Chávez, José AntonioManco Arroyo, Nicolas Silverde María, Sánchez Aguirre FlorSaravia, Reynaldo CamposDiaz Hinostroza, Mary RosauraMontenegro, Luz Petronila BlasToledo, Melissa Fatima MuñanteOlivares, Jorge Antonio CrisóstomoPuga, Nancy Barazorda2023-12-08T20:53:16Z2023-12-08T20:53:16Z2023-01-0110.15379/ijmst.v10i3.1514http://hdl.handle.net/10757/66963424101869International Journal of Membrane Science and Technology2-s2.0-85166289146SCOPUS_ID:851662891460000 0001 2196 144XUntil 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.ODS 4: Educación de CalidadODS 9: Industria, Innovación e InfraestructuraODS 8: Trabajo Decente y Crecimiento Económicoapplication/pdfengCosmos Scholars Publishing Houseinfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Agent ResearchArtificial IntelligenceComputational IntelligenceIntelligent ComputerNeural IntelligenceRobot AutomataTechnology ApproachArtificial Intelligence in Engineering and Computer Science Learning: Systematic Review Articleinfo:eu-repo/semantics/articleInternational Journal of Membrane Science and Technology103221233reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPC2023-12-08T20:53:16ZTHUMBNAIL1514-Article Text-3027-1-10-20230710.pdf.jpg1514-Article Text-3027-1-10-20230710.pdf.jpgGenerated Thumbnailimage/jpeg92389https://repositorioacademico.upc.edu.pe/bitstream/10757/669634/5/1514-Article%20Text-3027-1-10-20230710.pdf.jpgc837481c77bb4686c8e038ef27949849MD55falseTEXT1514-Article Text-3027-1-10-20230710.pdf.txt1514-Article Text-3027-1-10-20230710.pdf.txtExtracted texttext/plain48626https://repositorioacademico.upc.edu.pe/bitstream/10757/669634/4/1514-Article%20Text-3027-1-10-20230710.pdf.txt254f8c39bff142145558f3ed51c93ab3MD54falseLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/669634/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD53falseCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorioacademico.upc.edu.pe/bitstream/10757/669634/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52falseORIGINAL1514-Article Text-3027-1-10-20230710.pdf1514-Article Text-3027-1-10-20230710.pdfapplication/pdf712146https://repositorioacademico.upc.edu.pe/bitstream/10757/669634/1/1514-Article%20Text-3027-1-10-20230710.pdf40fc3f908ab692b631f3c38ede033821MD51true10757/669634oai:repositorioacademico.upc.edu.pe:10757/6696342024-07-27 18:09:27.305Repositorio académico upcupc@openrepository.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
score 13.909121
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).