Quadro ARIA: acompanhar a integração crítica das inteligências artificiais generativas no ensino superior

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Sandrine Decamps
Axelle Zanichelli

Resumen

Este artigo apresenta o quadro ARIA, concebido para acompanhar uma integração crítica das IAg no ensino superior. O ARIA articula quatro pilares (Aceitabilidade, Responsabilidade, Inteligência coletiva, Acessibilidade) e um ciclo metodológico (Analisar, Repensar, Integrar, Acompanhar). Os pilares estabelecem quatro condições: compreensão das ferramentas, rastreabilidade do trabalho intelectual, pluralidade de abordagens e equidade de acesso. O ciclo estrutura o processo de apropriação coletiva. Experimentado na Bélgica e em Marrocos entre janeiro e abril de 2025, o quadro funcionou como vocabulário partilhado para nomear as tensões vividas e organizar a reflexão no seio das equipas. O artigo apresenta a arquitetura do ARIA, ilustra a sua implementação e discute as condições da sua apropriação.

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Decamps, S., & Zanichelli, A. (2026). Quadro ARIA: acompanhar a integração crítica das inteligências artificiais generativas no ensino superior. Mediaciones Y Mediatizaciones, (25). https://doi.org/10.52358/mm.vi25.533
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Sandrine Decamps, Haute Ecole Louvain en Hainaut - Université catholique de Louvain

Sandrine Decamps, HELHa – UCLouvain

Sandrine Decamps es asesora pedagógica y tecnopedagoga en la Haute École Louvain en Hainaut (HELHa), donde coordina la Unidad de Acompañamiento Pedagógico. También es docente en la Université catholique de Louvain. Su trabajo se centra en el acompañamiento del profesorado, la innovación pedagógica y el desarrollo de competencias digitales en la educación superior.

Diseña e imparte programas de formación sobre los usos pedagógicos de las tecnologías digitales, la enseñanza híbrida y en línea, así como sobre los desafíos éticos y educativos vinculados a la inteligencia artificial. Sus investigaciones y actividades profesionales exploran especialmente la evolución de la relación con el aprendizaje, la evaluación y la agencia estudiantil en contextos marcados por la automatización y la co-construcción del conocimiento con sistemas de IA generativa.

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