Explorando a fronteira entre Inteligência Artificial e Astronomia na Educação
DOI:
https://doi.org/10.22491/1982-1654.138688Keywords:
Ensino, Astrofísica, Astroinformática, Dados, TransdisciplinaridadeAbstract
A crescente influência da Inteligência Artificial (IA) tem causado impactos profundos tanto na investigação astronômica, quanto na educação. Este artigo explora a evolução da IA na astronomia e na exploração espacial, destacando sua capacidade exponencial na resolução de complexidades computacionais para a análise de dados astronômicos, tendo em perspectiva a possibilidade de uso destes temas em atividades educacionais. Mais especificamente, são examinadas algumas inovações propiciadas pelo uso de IA no estudo de oito diferentes áreas temáticas: exoplanetas, estrelas, buracos negros, supernovas, galáxias, matéria escura, astrobiologia e astronáutica. A evolução da IA na astronomia se sobressaiu, em especial, na análise de dados coletados por telescópios modernos, utilizando algoritmos de aprendizado de máquina para lidar com a grande volume de informações. A constante evolução da IA em diferentes campos da astrofísica e da exploração espacial abre possibilidades propícias para o trabalho de conteúdos associados a este desenvolvimento no ensino de ciências.
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