University education in the era of generative artificial intelligence: Is academic integrity at risk?

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University education faces a future influenced by generative artificial intelligence (AI), especially with tools like ChatGPT. The objective of this study was to map the literature to identify benefits, challenges, and ethical solutions. A bibliometric analysis and narrative review approach were use...

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Detalles Bibliográficos
Autores: Carhuaz Valdez, Danny Daniel, Arcata-Maquera, Elvis Joel
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Privada de Tacna
Repositorio:Revistas - Universidad Privada de Tacna
Lenguaje:español
OAI Identifier:oai:revistas.upt.edu.pe:article/967
Enlace del recurso:https://revistas.upt.edu.pe/ojs/index.php/ingenieria/article/view/967
Nivel de acceso:acceso abierto
Materia:ética
integridad
inteligencia artificial generativa
tecnología educativa
ethics
integrity
generative artificial intelligence
educational technology
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oai_identifier_str oai:revistas.upt.edu.pe:article/967
network_acronym_str REVUPT
network_name_str Revistas - Universidad Privada de Tacna
repository_id_str
dc.title.none.fl_str_mv University education in the era of generative artificial intelligence: Is academic integrity at risk?
Educación Universitaria en la Era de la Inteligencia Artificial Generativa: ¿Integridad Académica en Riesgo?
title University education in the era of generative artificial intelligence: Is academic integrity at risk?
spellingShingle University education in the era of generative artificial intelligence: Is academic integrity at risk?
Carhuaz Valdez, Danny Daniel
ética
integridad
inteligencia artificial generativa
tecnología educativa
ethics
integrity
generative artificial intelligence
educational technology
title_short University education in the era of generative artificial intelligence: Is academic integrity at risk?
title_full University education in the era of generative artificial intelligence: Is academic integrity at risk?
title_fullStr University education in the era of generative artificial intelligence: Is academic integrity at risk?
title_full_unstemmed University education in the era of generative artificial intelligence: Is academic integrity at risk?
title_sort University education in the era of generative artificial intelligence: Is academic integrity at risk?
dc.creator.none.fl_str_mv Carhuaz Valdez, Danny Daniel
Arcata-Maquera, Elvis Joel
author Carhuaz Valdez, Danny Daniel
author_facet Carhuaz Valdez, Danny Daniel
Arcata-Maquera, Elvis Joel
author_role author
author2 Arcata-Maquera, Elvis Joel
author2_role author
dc.subject.none.fl_str_mv ética
integridad
inteligencia artificial generativa
tecnología educativa
ethics
integrity
generative artificial intelligence
educational technology
topic ética
integridad
inteligencia artificial generativa
tecnología educativa
ethics
integrity
generative artificial intelligence
educational technology
description University education faces a future influenced by generative artificial intelligence (AI), especially with tools like ChatGPT. The objective of this study was to map the literature to identify benefits, challenges, and ethical solutions. A bibliometric analysis and narrative review approach were used for documents from Web of Science (WOS) and Scopus in July 2024. A total of 792 WOS and 144 Scopus documents were analyzed using the search equations "Generative artificial intelligence" OR ChatGPT AND "Academic integrity." The data were processed using Bibliometrix and VOSViewer software. The bibliometrics show exponential growth in research since 2023, with a strong presence in areas such as education and computer science. The United States and the United Kingdom have led production and international collaborations with Stanford University and the University of California, San Diego, demonstrating outstanding production. IEEE Access and Education and Information Technologies journals have the largest number of co-citation networks. The narrative identified benefits such as improved student work quality and teaching efficiency but also concerns about academic integrity and excessive dependence. Proposals include institutional policies, educational programs, and AI detection tools to mitigate risks and promote ethical use. Finally, integrating and ethically using these technologies may be more beneficial than banning them because they will prevail in the future.
publishDate 2024
dc.date.none.fl_str_mv 2024-08-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.upt.edu.pe/ojs/index.php/ingenieria/article/view/967
10.47796/ing.v6i00.967
url https://revistas.upt.edu.pe/ojs/index.php/ingenieria/article/view/967
identifier_str_mv 10.47796/ing.v6i00.967
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.upt.edu.pe/ojs/index.php/ingenieria/article/view/967/948
dc.rights.none.fl_str_mv Derechos de autor 2024 Danny Daniel Carhuaz Valdez, Elvis Joel Arcata-Maquera
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2024 Danny Daniel Carhuaz Valdez, Elvis Joel Arcata-Maquera
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UNIVERSIDAD PRIVADA DE TACNA
publisher.none.fl_str_mv UNIVERSIDAD PRIVADA DE TACNA
dc.source.none.fl_str_mv INGENIERÍA INVESTIGA; Vol. 6 (2024): Ingeniería Investiga
INGENIERÍA INVESTIGA; Vol. 6 (2024): Ingeniería Investiga
2708-3039
10.47796/ing.v6i00
reponame:Revistas - Universidad Privada de Tacna
instname:Universidad Privada de Tacna
instacron:UPT
instname_str Universidad Privada de Tacna
instacron_str UPT
institution UPT
reponame_str Revistas - Universidad Privada de Tacna
collection Revistas - Universidad Privada de Tacna
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling University education in the era of generative artificial intelligence: Is academic integrity at risk? Educación Universitaria en la Era de la Inteligencia Artificial Generativa: ¿Integridad Académica en Riesgo?Carhuaz Valdez, Danny DanielArcata-Maquera, Elvis Joeléticaintegridadinteligencia artificial generativatecnología educativaethicsintegritygenerative artificial intelligenceeducational technologyUniversity education faces a future influenced by generative artificial intelligence (AI), especially with tools like ChatGPT. The objective of this study was to map the literature to identify benefits, challenges, and ethical solutions. A bibliometric analysis and narrative review approach were used for documents from Web of Science (WOS) and Scopus in July 2024. A total of 792 WOS and 144 Scopus documents were analyzed using the search equations "Generative artificial intelligence" OR ChatGPT AND "Academic integrity." The data were processed using Bibliometrix and VOSViewer software. The bibliometrics show exponential growth in research since 2023, with a strong presence in areas such as education and computer science. The United States and the United Kingdom have led production and international collaborations with Stanford University and the University of California, San Diego, demonstrating outstanding production. IEEE Access and Education and Information Technologies journals have the largest number of co-citation networks. The narrative identified benefits such as improved student work quality and teaching efficiency but also concerns about academic integrity and excessive dependence. Proposals include institutional policies, educational programs, and AI detection tools to mitigate risks and promote ethical use. Finally, integrating and ethically using these technologies may be more beneficial than banning them because they will prevail in the future.La educación universitaria se enfrenta a un futuro influenciado por la inteligencia artificial generativa (IA), especialmente con herramientas como ChatGPT. El objetivo del estudio fue mapear la literatura para identificar beneficios, desafíos y soluciones éticas. Se utilizó un enfoque de análisis bibliométrico y revisión narrativa de documentos de Web of Science (WOS) y Scopus en julio de 2024. Se analizaron 792 documentos de WOS y 144 de Scopus utilizando las ecuaciones de búsqueda "Generative artificial intelligence" OR Chatgpt AND "Academic integrity". Los datos se procesaron mediante los softwares Bibliometrix y VOSViewer. La bibliometría muestra un crecimiento exponencial en la investigación desde 2023, con una fuerte presencia en áreas como educación y ciencias de la computación. Estados Unidos y el Reino Unido lideran en producción y colaboración internacional, destacándose la Universidad de Stanford y la Universidad de California de San Diego por su alta producción. Las revistas IEEE Access y Education and Information Technologies tienen la mayor red de co-citaciones. La narrativa identificó beneficios como la mejora en la calidad del trabajo estudiantil y la eficiencia docente, pero también preocupaciones sobre la integridad académica y la dependencia excesiva. Las propuestas incluyen políticas institucionales, programas educativos y herramientas de detección de IA para mitigar riesgos y fomentar un uso ético. Por último, integrar y usar éticamente estas tecnologías puede ser más beneficioso que prohibirlas, ya que prevalecerán en el futuro.UNIVERSIDAD PRIVADA DE TACNA2024-08-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.upt.edu.pe/ojs/index.php/ingenieria/article/view/96710.47796/ing.v6i00.967INGENIERÍA INVESTIGA; Vol. 6 (2024): Ingeniería InvestigaINGENIERÍA INVESTIGA; Vol. 6 (2024): Ingeniería Investiga2708-303910.47796/ing.v6i00reponame:Revistas - Universidad Privada de Tacnainstname:Universidad Privada de Tacnainstacron:UPTspahttps://revistas.upt.edu.pe/ojs/index.php/ingenieria/article/view/967/948Derechos de autor 2024 Danny Daniel Carhuaz Valdez, Elvis Joel Arcata-Maquerahttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:revistas.upt.edu.pe:article/9672024-12-04T22:49:52Z
score 12.758226
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