Redes neurais explicáveis com o simulador robótico open roberta lab: construção de sequências didáticas para a educação em computação no ensino médio
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Universidade do Estado do Amazonas
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The advances of Artificial Intelligence (AI) in education demand new pedagogical approaches that foster its critical and practical understanding, transforming the way
technological concepts are integrated into the school curriculum. This Final Undergraduate Project presents the development and validation of didactic sequences
based on Explainable Neural Networks (XNNs), integrated with Educational Robotics (ER) through the Open Roberta Lab simulator, designed for high school education and
aligned with Brazil’s National Common Curricular Base (BNCC) for Computing. The research arises from the lack of accessible and contextualized teaching materials for
AI and ER, especially in schools with limited infrastructure and insufficient teacher training. The general objective is to design and validate didactic strategies that
incorporate active methodologies and robotic simulation tools, contributing to the development of computational thinking, student autonomy, and the ethical use of AI.
The methodology included literature review, practical experimentation with Open Roberta Lab, development of the didactic sequences, and evaluation by teachers from
different microregions of the state. During the research process, two complementary academic works were published: an article in the Revista Iberoamericana, presenting
a review on ER and AI, and an extended abstract on the research methodology, presented as a poster at the Amazonian Symposium on Computing and Innovation
(SACI 2025). These publications reinforce the scientific and educational relevance of the study, as well as its contribution to the consolidation of Computing Education in the Amazon region. The results indicate that the sequences are feasible, clear, and coherent with the BNCC Computing learning objectives, showing potential for
implementation in public schools. It is expected that the materials developed will serve as a reference for teachers interested in integrating AI and ER into pedagogical
practice, thereby strengthening an innovative, inclusive, and culturally situated education.
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ALVES, Jorge Mikael Coutinho.Redes neurais explicáveis com o simulador robótico open roberta lab: construção de sequências didáticas para a educação em computação no ensino médio.(TCC)Trabalho de Conclusão de Curso Licenciatura em Computação) – Universidade do Estado do Amazonas, Manaus.
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