Palavras-chave
Educação superior
Revisão sistemática da literatura
Competências digitais
Educação a distância
Metrica
Como Citar
Dados de financiamento
Plaudit
Resumo
Introdução: A Inteligência Artificial (IA) tem sido cada vez mais incorporada ao ensino superior a distância, exigindo que os estudantes desenvolvam competências digitais para utilizá-la de maneira eficaz. No entanto, há lacunas na literatura sobre quais competências são essenciais para essa interação e seus impactos no processo educacional. Objetivo: O estudo busca identificar as competências digitais necessárias para o uso eficiente da IA por estudantes do ensino superior a distância, bem como mapear desafios e oportunidades na aplicação dessas competências no aprendizado. Metodologia: Foi conduzida uma Revisão Sistemática da Literatura seguindo as diretrizes de Kitchenham e Charters (2007), considerando artigos publicados entre 2020 e 2025. A pesquisa incluiu buscas em bases de dados reconhecidas e aplicou critérios de inclusão e exclusão para seleção dos estudos analisados. Resultados: Os achados destacam a alfabetização digital, o pensamento crítico, a autoaprendizagem e a adaptação a tecnologias emergentes como competências essenciais. Além disso, foram identificadas ferramentas como sistemas tutores inteligentes, análise de aprendizado e chatbots educacionais. Os desafios incluem a falta de infraestrutura, dificuldades na adaptação tecnológica e a necessidade de formação contínua. Conclusão: A IA apresenta grande potencial para aprimorar a educação a distância, mas sua implementação requer investimento em capacitação digital e infraestrutura. Pesquisas futuras devem aprofundar o impacto das competências digitais na aprendizagem e explorar estratégias pedagógicas para maximizar os benefícios da IA no ensino superior.
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