Integrando a inteligência artificial generativa na educação em química: desenvolvimento de ferramentas e avaliação como recurso educacional

• Ano de defesa: 2025
• Autor(a) principal: Costa, Diogo Gonzaga Monte da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Rio Grande do Norte; Brasil; UFRN; PROGRAMA DE PÓS-GRADUAÇÃO EM QUÍMICA - REDE NACIONAL
• Palavras-chave em Português: Educação em Química; Inteligência Artificial Generativa; Personalização do ensino; CNPQ::CIENCIAS EXATAS E DA TERRA::QUIMICA
• Link de acesso: https://repositorio.ufrn.br/handle/123456789/63171

In an increasingly interconnected world, Information and Communication Technologies (ICTs), including Artificial Intelligence (AI), have emerged as transformative forces in chemical education. Despite teachers' familiarity with everyday technologies, the effective integration of new technological tools in teaching still faces significant barriers. Consequently, there is a critical need to explore educational strategies and innovative methodologies aimed at bridging the technological gap and advancing educational practices. This study investigated the integration of Generative Artificial Intelligence (GAI) in chemical education, focusing on the development of innovative pedagogical tools and the assessment as an educational resource. The primary objective included the creation of an interactive educational product, an e-book titled "DIGITAL ALCHEMY: Transforming Chemical Education with Generative AI," based on Situated Learning Theory. Research on the application of this educational resource was conducted with chemistry teachers, who assigned an average rating of 8.5, reflecting a generally favorable view of GAI's potential to enhance chemical education. Nevertheless, 65% of participants emphasized the importance of human intervention to ensure the accuracy of analyses performed by Generative AI. The findings indicated that GAI could become a vital educational resource in the teaching-learning process, personalizing content and facilitating the understanding of complex concepts. However, challenges such as adequate teacher training and technological infrastructure need to be addressed for effective implementation. The final considerations highlight the importance of continuously exploring and refining the use of GAI to promote a more interactive, effective, and individualized education.