Inteligência Artificial Generativa e aprendizagem auto-regulada em alunos do Instituto de Admissão e Nivelamento da Universidade Técnica de Manabí
Palavras-chave:
Inteligência artificial generativa, estudantes, universidade, aprendizagem autorregulada.Resumo
Introdução: A Inteligência Artificial Generativa (doravante IAG) é cada vez mais reconhecida pelo seu potencial transformador na conceção de experiências de aprendizagem. Isto concretiza-se através da aprendizagem personalizada, do maior envolvimento e eficiência, do apoio ao professor, da inclusão e acessibilidade, e da inovação nos métodos de ensino.Objectivo: Analisar o impacto da Inteligência Artificial Generativa no desenvolvimento da aprendizagem auto-regulada em estudantes do Instituto de Admissão e Nivelamento da Universidade Técnica de Manabí.Materiais e métodos: Adotou-se uma abordagem qualitativa à Inteligência Artificial Generativa (IAG) no desenho de experiências de aprendizagem entre 2020 e 2025. Foi realizada uma pesquisa sistemática na literatura nas bases de dados Scopus e Web of Science e em revistas académicas. Resultados e discussão: A IAG foi identificada como uma ferramenta de apoio e personalização da aprendizagem; destacou-se a importância da literacia e das considerações éticas, bem como novas formas de ensino e aprendizagem.
Conclusões: O impacto da integração da IAG em ambientes de aprendizagem adaptativos e personalizados aumenta a participação dos estudantes.
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