<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1414-4077</journal-id>
<journal-title><![CDATA[Avaliação: Revista da Avaliação da Educação Superior (Campinas)]]></journal-title>
<abbrev-journal-title><![CDATA[Avaliação (Campinas)]]></abbrev-journal-title>
<issn>1414-4077</issn>
<publisher>
<publisher-name><![CDATA[Publicação da Rede de Avaliação Institucional da Educação Superior (RAIES), da Universidade Estadual de Campinas (UNICAMP) e da Universidade de Sorocaba (UNISO)]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1414-40772025000100302</article-id>
<article-id pub-id-type="doi">10.1590/1982-57652025v30id286435</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[DESAFIOS E OPORTUNIDADES DA INTELIGÊNCIA ARTIFICIAL NO ENSINO SUPERIOR: PERCEPÇÕES DOS DOCENTES NO AMBIENTE UNIVERSITÁRIO]]></article-title>
<article-title xml:lang="es"><![CDATA[Desafíos y oportunidades de la Inteligencia Artificial en la Educación Superior: Percepciones del Profesorado en el Ambiente Universitario]]></article-title>
<article-title xml:lang="en"><![CDATA[CHALLENGES AND OPPORTUNITIES OF ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION: PERCEPTIONS OF FACULTY IN THE UNIVERSITY ENVIRONMENT]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Costa]]></surname>
<given-names><![CDATA[Marcelle Feitoza Bassi]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Tinoco]]></surname>
<given-names><![CDATA[Gabriel Orsi]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Corrêa]]></surname>
<given-names><![CDATA[Nicholas dos Santos Faria]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Botelho]]></surname>
<given-names><![CDATA[Pedro Cariello]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fontainha]]></surname>
<given-names><![CDATA[Tharcisio Cotta]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade Federal do Rio de Janeiro  ]]></institution>
<addr-line><![CDATA[Rio de Janeiro RJ]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade Federal do Rio de Janeiro  ]]></institution>
<addr-line><![CDATA[Rio de Janeiro RJ]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidade Federal do Rio de Janeiro  ]]></institution>
<addr-line><![CDATA[Rio de Janeiro RJ]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidade Federal do Rio de Janeiro  ]]></institution>
<addr-line><![CDATA[Rio de Janeiro RJ]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Universidade Federal do Rio de Janeiro  ]]></institution>
<addr-line><![CDATA[Rio de Janeiro RJ]]></addr-line>
<country>Brasil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2025</year>
</pub-date>
<volume>30</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://educa.fcc.org.br/scielo.php?script=sci_arttext&amp;pid=S1414-40772025000100302&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://educa.fcc.org.br/scielo.php?script=sci_abstract&amp;pid=S1414-40772025000100302&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://educa.fcc.org.br/scielo.php?script=sci_pdf&amp;pid=S1414-40772025000100302&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo Os avanços da IA têm impulsionado uma nova era de inovação e transformação em diversos contextos, incluindo o educacional. Dessa forma, o objetivo deste estudo é investigar as principais oportunidades e desafios do uso da IA no contexto universitário sob a perspectiva docente no nível de pós-graduação. Para atingir esse objetivo, foi realizado um estudo de caso no Programa de Pós-graduação de Engenharia de Produção (PEP) da COPPE/UFRJ. Foram realizadas duas entrevistas semiestruturadas com os coordenadores das áreas de pesquisas que compõem o programa, além da busca por documentos na instituição e uma análise do documento &#8220;Estratégia Brasileira de Inteligência Artificial&#8221; (EBIA), do Ministério da Ciência, Tecnologia e Inovação (MCTI). Os resultados evidenciaram que os principais desafios levantados foram o risco de plágio, a dependência das ferramentas de IA, a falta de reflexão crítica e as dificuldades de infraestrutura e financiamento. Entretanto, destaca-se que a IA é reconhecida como um potencial apoio para o desenvolvimento de disciplinas e a facilitação da gestão administrativa. Tais resultados representam importantes insights que podem ser considerados para orientar estratégias institucionais voltadas para a adoção da IA na educação superior. Pesquisas futuras devem ser realizadas para abranger outros programas de pós-graduação e considerar a perspectiva de outros atores do ambiente universitário, como estudantes e funcionários administrativos, a fim de enriquecer a compreensão do tema de maneira mais abrangente.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Los avances en la inteligencia artificial (IA) han impulsado una nueva era de innovación y transformación en diversos contextos, incluyendo la educación. Por lo tanto, el objetivo de este estudio es investigar las principales oportunidades y desafíos del uso de la IA en el entorno universitario desde la perspectiva de los docentes a nivel de posgrado. Para lograr este objetivo, se realizó un estudio de caso en el Programa de Posgrado en Ingeniería de Producción (PEP) de COPPE/UFRJ. Se llevaron a cabo dos entrevistas semiestructuradas con los coordinadores de las áreas de investigación que conforman el programa, además de la búsqueda de documentos en la institución y un análisis del documento &#8220;Estrategia Brasileña de Inteligencia Artificial&#8221; (EBIA) del Ministerio de Ciencia, Tecnología e Innovación (MCTI). Los resultados revelaron que los principales desafíos identificados fueron el riesgo de plagio, la dependencia de las herramientas de IA, la falta de reflexión crítica y las dificultades de infraestructura y financiamiento. Sin embargo, cabe destacar que la IA es reconocida como un apoyo potencial para el desarrollo de asignaturas y la facilitación de la gestión administrativa. Estos hallazgos proporcionan ideas valiosas que pueden considerarse para orientar las estrategias institucionales para la adopción de la IA en la educación superior. Se deben realizar investigaciones adicionales para abarcar otros programas de posgrado y considerar las perspectivas de otros actores universitarios, estudiantes y personal administrativo, para mejorar la comprensión del tema de manera integral.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The advancements in AI have driven a new era of innovation and transformation in various contexts, including education. Thus, this study aims to investigate the primary opportunities and challenges of using AI in the university context from the perspective of graduate-level educators. To achieve this objective, a case study was conducted at the Graduate Program in Production Engineering (PEP) at COPPE/UFRJ. Two semi-structured interviews were conducted with the research area coordinators within the program, in addition to searching for documents within the institution and analyzing the document &#8220;Brazilian Artificial Intelligence Strategy&#8221; (EBIA) from the Ministry of Science, Technology, and Innovation (MCTI). The results revealed that the main challenges identified were the risk of plagiarism, dependence on AI tools, a lack of critical reflection, and infrastructure and funding difficulties. However, it is worth noting that AI is recognized as a potential support for developing courses and administrative management facilitation. These findings provide valuable insights that can be considered to guide institutional strategies for adopting AI in higher education. Further research should be conducted to encompass other graduate programs and consider the perspectives of different stakeholders in the university environment, such as students and administrative staff, to enhance the understanding of the topic more comprehensively.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[inteligência artificial]]></kwd>
<kwd lng="pt"><![CDATA[ensino superior]]></kwd>
<kwd lng="pt"><![CDATA[oportunidades e desafios]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[enseñanza superior]]></kwd>
<kwd lng="es"><![CDATA[oportunidades y desafíos]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[higher education]]></kwd>
<kwd lng="en"><![CDATA[opportunities and challenges]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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