Integrando Aprendizaje Automático y Robótica Educativa

La Plataforma Frankie para la Enseñanza de Inteligencia Artificial en la Educación Secundaria

Autores/as

DOI:

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

Palabras clave:

inteligencia artificial en la educación, redes neuronales, robótica educativa, tecnologías en la educación

Resumen

Este estudio explora un experimento realizado en una escuela gratuita en Río de Janeiro, Brasil, con el objetivo de introducir a estudiantes de educación secundaria en conceptos de Inteligencia Artificial (IA) a través de sus fundamentos matemáticos. Once estudiantes participaron en talleres diseñados para conectar las matemáticas e IA mediante el uso del algoritmo de Red Neuronal Sin Peso (WNN) – WiSARD. Las actividades programadas se centraron en los cálculos matemáticos involucrados en las fases de entrenamiento y clasificación del algoritmo, mejorando la comprensión de los estudiantes sobre el aprendizaje automático (ML). Los resultados mostraron que los estudiantes comprendieron tanto el funcionamiento del algoritmo WiSARD como los principios matemáticos subyacentes. Además, las actividades fomentaron reflexiones sobre preocupaciones éticas relacionadas con la IA, enfatizando la responsabilidad del desarrollador y la importancia de la protección de los datos personales.

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Biografía del autor/a

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

Número

Vol. 13 Núm. 2 (2025): Temas de Investigación Educativa

Sección

Artículos

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