Percepción estudiantil sobre inteligencia artificial aplicada a la traducción en educación superior: Revisión sistemática
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Tribunal
Abstract
La inteligencia artificial (IA) ha irrumpido diversos ámbitos del conocimiento generando profundas transformaciones, en particular el uso de sistemas de traducción automática apoyados por la inteligencia artificial (IA). El objetivo es analizar la percepción de estudiantes universitarios sobre el uso de inteligencia artificial aplicada a la traducción académica. El enfoque cualitativo, orientado en los lineamientos de la metodología PRISMA 2020. La búsqueda se efectuó en las bases de datos Scopus, Web of Science y Google Scholar, complementadas con Redalyc, SciELO, Dialnet y DOAJ durante el periodo (2019-2024). Se utilizaron los buscadores booleanos AND OR, de un total de 97, fueron seleccionados 15 estudios. Los resultados muestran una percepción mayoritariamente positiva por la eficiencia, accesibilidad y apoyo al aprendizaje. No obstante, emergen preocupaciones sobre la dependencia tecnológica, la limitación del pensamiento crítico, la descontextualización cultural y los riesgos éticos. Se concluye que, aunque valiosa, la IA debe usarse de forma ética y complementaria, priorizando el desarrollo de habilidades humanas en traducción.
Artificial intelligence (AI) has disrupted various fields of knowledge, generating profound transformations, particularly the use of machine translation systems supported by artificial intelligence (AI). The objective is to analyze university students' perceptions of the use of artificial intelligence applied to academic translation. The qualitative approach was guided by the guidelines of the PRISMA 2020 methodology. The search was carried out in the databases Scopus, Web of Science, and Google Scholar, complemented by Redalyc, SciELO, Dialnet, and DOAJ during the period (2019-2024). The Boolean search engines AND OR were used; from a total of 97, 15 studies were selected. The results show a predominantly positive perception due to efficiency, accessibility, and learning support. However, concerns emerge regarding technological dependence, the limitation of critical thinking, cultural decontextualization, and ethical risks. It is concluded that, although valuable, AI should be used ethically and complementary, prioritizing the development of human skills in translation.
Artificial intelligence (AI) has disrupted various fields of knowledge, generating profound transformations, particularly the use of machine translation systems supported by artificial intelligence (AI). The objective is to analyze university students' perceptions of the use of artificial intelligence applied to academic translation. The qualitative approach was guided by the guidelines of the PRISMA 2020 methodology. The search was carried out in the databases Scopus, Web of Science, and Google Scholar, complemented by Redalyc, SciELO, Dialnet, and DOAJ during the period (2019-2024). The Boolean search engines AND OR were used; from a total of 97, 15 studies were selected. The results show a predominantly positive perception due to efficiency, accessibility, and learning support. However, concerns emerge regarding technological dependence, the limitation of critical thinking, cultural decontextualization, and ethical risks. It is concluded that, although valuable, AI should be used ethically and complementary, prioritizing the development of human skills in translation.
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Vol. 5, No. 12