Integrando Aprendizado de Máquina e Robótica Educacional

A Plataforma Frankie para o Ensino de Inteligência Artificial no Ensino Médio

Autores

DOI:

https://doi.org/10.25749/sis.39111

Palavras-chave:

inteligência artificial na educação, redes neurais, robótica educativa, tecnologias na educação

Resumo

Este estudo explora um experimento realizado em uma escola gratuita no Rio de Janeiro, Brasil, com o objetivo de introduzir estudantes do ensino médio a conceitos de Inteligência Artificial (IA) através de seus fundamentos matemáticos. Onze estudantes participaram de oficinas projetadas para conectar matemática e IA utilizando o algoritmo de Rede Neural Sem Peso (WNN) - WiSARD. As atividades programadas focaram nos cálculos matemáticos envolvidos nas fases de treinamento e classificação do algoritmo, aprimorando a compreensão dos estudantes sobre aprendizado de máquina (ML). Os resultados mostraram que os estudantes entenderam tanto o funcionamento do algoritmo WiSARD quanto os princípios matemáticos subjacentes. Além disso, as atividades promoveram reflexões sobre preocupações éticas relacionadas à IA, enfatizando a responsabilidade do desenvolvedor e a importância da proteção de dados pessoais.

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Biografias Autor

Charles Soares Pimentel, Programa de Pós-Graduação em Informática, Universidade Federal do Rio de Janeiro / Graded-American School of Rio de Janeiro, Brasil

Design and technology educator at Graded – The American School of São Paulo and a D.Sc. candidate at the Federal University of Rio de Janeiro. He is also a research fellow at the Transformative Learning Technologies Lab (TLTL), where he investigates the use of sensors and microcontrollers in schools through IoT applications to support data literacy. His work explores how technology can be a tool for social impact and student empowerment in K–12 education.

Fábio Ferrentini Sampaio, Escola Superior de Tecnologia, Instituto Politécnico de Setúbal, Portugal

Adjunct Professor at Polytechnic University of Setúbal – Portugal. He holds a degree in Computer Science, a Master's degree in Systems and Computer Engineering, and a Ph.D. from the University of London in the area of ​​Science and Computer Science Education. In Brazil, he coordinated several projects in the area of ​​Technologies in Education funded by agencies from the State of Rio de Janeiro and the Federal Government. He has published in specialized journals and books in the areas of Computer Science and Technologies, in partnership with different authors.

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Publicado

2025-06-30

Edição

Vol. 13 N.º 2 (2025): Temas de Investigação Educacional

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