Inteligencia Artificial Generativa en la Educación Superior: una Revisión Sistemática

Denilsón Andrés Silgado-Tuñón; José Iván López-Flores

Denilsón Andrés Silgado-Tuñón Universidad Autónoma de Zacatecas https://orcid.org/0009-0005-7098-5073
José Iván López-Flores Universidad Autónoma de Zacatecas https://orcid.org/0000-0003-2350-2647

Palavras-chave: Inteligência artificial Gerativa, revisão sistemática, educação superior

Resumo

Apresenta-se uma revisão sistemática da literatura sobre o uso da Inteligência Artificial Generativa na Educação Superior. Foram revisados artigos das seguintes bases de dados e sites: Dialnet, Google Scholar, REDALYC, Semantic Scholar e SciELO. Para a análise, foram selecionados 32 documentos, no período de janeiro de 2023 a agosto de 2024. Foram considerados os seguintes critérios: artigos, acesso aberto, texto completo e educação superior. Foram identificadas seis categorias: sobre o impacto pedagógico, percepções de professores e estudantes, aspectos éticos e preocupações, desafios e benefícios tecnológicos, aplicações em áreas específicas e revisões teóricas e bibliográficas.

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Biografia Autor

Denilsón Andrés Silgado-Tuñón, Universidad Autónoma de Zacatecas

Denilsón Andrés Silgado Tuñón é licenciado em Matemática pela Universidade do Atlántico em Barranquilla, Atlántico, Colômbia, y actualmente cursa o Mestrado em Educação Matemática na Universidade Autônoma de Zacatecas, México. Ele foi reconocido como profesor ejemplar por su trabajo en Asesorías Académicas DJM, una institución privada en Barranquilla. Sus áreas de interés incluyen el conocimiento del profesor de matemáticas, el uso de la tecnología y la inteligencia.

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