Da Intuição em IA à Literacia em IA: Um Quadro Dual para a Ensino Básico e Secundário

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Mathieu Beau
Mehdi Lazar

Resumo

A literacia em inteligência artificial tem-se afirmado como um quadro central para orientar a integração da IA na educação básica e secundária, enfatizando a compreensão conceptual, a aplicação prática, a avaliação crítica e o julgamento ético. Estas competências são essenciais para promover uma utilização informada e responsável dos sistemas de IA. No entanto, a prática em sala de aula sugere que os estudantes frequentemente aprendem a interagir com a IA generativa através de interações exploratórias e experienciais: experimentam instruções, observam o comportamento do sistema, ajustam estratégias e refletem sobre os resultados, antes de conseguirem formular plenamente conceitos ou regras formais. Para dar conta desta dimensão experiencial da aprendizagem, este artigo introduz a noção de intuição em IA como um constructo educativo complementar. A intuição em IA é definida como uma forma de compreensão experiencial e indutiva que se desenvolve através da interação iterativa com sistemas de IA e sustenta um julgamento contextual em situações de incerteza. Propomos um modelo dual no qual a alfabetização em IA fornece conhecimentos explícitos, critérios críticos e orientação ética, enquanto a intuição da IA se desenvolve por meio da experiência iterativa e da reflexão. Essas duas dimensões interagem de forma dinâmica e se reforçam mutuamente. Discutimos implicações pedagógicas para a educação básica e secundária e delineamos direções para investigação futura sobre aprendizagem experiencial com IA..

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Como Citar
Beau, M., & Lazar, M. (2026). Da Intuição em IA à Literacia em IA: Um Quadro Dual para a Ensino Básico e Secundário. Mediações E mediatizações, (25). https://doi.org/10.52358/mm.vi25.576
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Biografia Autor

Mathieu Beau, International School of Boston and University of Massachusetts Boston

Dr. Mathieu Beau é Coordenador de Integração de STEM e Inteligência Artificial na International School of Boston e pesquisador associado na Universidade de Massachusetts Boston. Com formação em física teórica, publicou pesquisas em física quântica em periódicos científicos revisados por pares. Seu trabalho na área da educação concentra-se em inteligência artificial, letramento em IA, práticas de pesquisa, o papel da intuição na aprendizagem e a integração de experiências autênticas de pesquisa no ensino secundário.

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