Mapeamento Sistemático sobre o Uso de IAs Generativas no Ensino de Programação
DOI:
https://doi.org/10.5753/reic.2026.7169Keywords:
Inteligência Artificial Generativa, Ensino de Programação, Educação em Ciência da ComputaçãoAbstract
O ensino de programação apresenta desafios significativos, especialmente para estudantes iniciantes, devido à necessidade de desenvolver habilidades como raciocínio lógico e pensamento computacional. Nesse contexto, o avanço da Inteligência Artificial (IA), em especial da IA generativa, tem despertado crescente interesse por seu potencial de apoio ao processo de aprendizagem. Este trabalho apresenta um Mapeamento Sistemático da Literatura sobre o uso de Inteligência Artificial generativa no ensino de programação. A busca em repositórios científicos nacionais e internacionais resultou inicialmente em 1.048 estudos, dos quais 66 foram selecionados após a aplicação de critérios de inclusão e exclusão. Os resultados indicam que o ChatGPT é a ferramenta mais utilizada e que o ensino superior é o nível educacional de maior uso dessas ferramentas. Entre os principais benefícios encontrados estão a geração de código, explicação de conceitos e apoio ao desenvolvimento do pensamento computacional. Porém, surgem desafios como dependência excessiva, erros gerados pela IA e necessidade de supervisão. O estudo destaca tendências e limitações para pesquisas futuras, contribuindo para uma compreensão sobre o apoio dessas tecnologias no processo de aprendizagem.
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