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 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
Descripción
Sumario: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.
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).