O impacto da Inteligência Artificial na educação: uma revisão sistemática da literatura
DOI:
https://doi.org/10.29352/mill0230.41727Palavras-chave:
Inteligência Artificial; educação; aprendizagem; desempenho académico; revisão sistemática; desempenho dos alunosResumo
Introdução: A Inteligência Artificial (IA) está a transformar a educação através de ferramentas adaptativas, da automatização de processos e da análise de dados. Esta investigação tem como objetivo analisar o seu impacto através de uma revisão sistemática da literatura para identificar tendências, benefícios e desafios.
Objetivo: Analisar criticamente as evidências científicas sobre o impacto da IA nas metodologias de ensino, na aprendizagem personalizada e no desempenho académico.
Métodos: Foi utilizado o método de revisão sistemática de acordo com o modelo PRISMA. A pesquisa foi realizada a 15 de janeiro de 2024 nas bases de dados Scopus, WoS e ProQuest. Foram selecionados 65 artigos publicados entre 2019 e 2023, respeitando os critérios de inclusão e exclusão. Dois revisores realizaram a seleção de forma independente e a qualidade metodológica foi avaliada com a ferramenta AMSTAR-2.
Resultados: Os resultados mostram que a IA melhora o desempenho académico (um aumento de 28%, de acordo com os estudos analisados), sendo os chatbots e a realidade aumentada/virtual as ferramentas mais eficazes. A Espanha e a China concentram 26% da produção científica. A personalização da aprendizagem e o feedback automático são os benefícios mais referidos.
Conclusão: Estas conclusões servem para orientar a implementação de ferramentas de IA em instituições de ensino, destacando o seu efeito positivo no desempenho dos alunos e na personalização da aprendizagem. Sugere-se que se investiguem os efeitos a longo prazo e a padronização dos critérios de avaliação.
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