Integrating Machine Learning and Educational Robotics

This study explores an experiment conducted at a tuition-free school in Rio de Janeiro, Brazil, aimed at introducing high school students to Artificial Intelligence (AI) concepts through their mathematical foundations. Eleven students participated in workshops designed to connect mathematics and AI...

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Main Authors: Charles Soares Pimentel, Fábio Ferrentini Sampaio
Format: Article
Language:English
Published: Universidade de Lisboa 2025-06-01
Series:Sisyphus
Subjects:
Online Access:https://revistas.rcaap.pt/sisyphus/article/view/39111
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author Charles Soares Pimentel
Fábio Ferrentini Sampaio
author_facet Charles Soares Pimentel
Fábio Ferrentini Sampaio
author_sort Charles Soares Pimentel
collection DOAJ
description This study explores an experiment conducted at a tuition-free school in Rio de Janeiro, Brazil, aimed at introducing high school students to Artificial Intelligence (AI) concepts through their mathematical foundations. Eleven students participated in workshops designed to connect mathematics and AI by engaging with a Weightless Neural Network (WNN) algorithm – WiSARD. The scripted activities focused on the mathematical calculations involved in the algorithm's training and classification phases, enhancing students' understanding of machine learning (ML). The results showed that students grasped both the functioning of the WiSARD algorithm and the mathematical principles behind it. Additionally, the activities fostered reflection on ethical concerns related to AI, emphasizing developer responsibility and the importance of protecting personal data.
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institution Matheson Library
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language English
publishDate 2025-06-01
publisher Universidade de Lisboa
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series Sisyphus
spelling doaj-art-c9ebc27fb8ed4ed2936e58e933c4e1192025-07-02T14:26:36ZengUniversidade de LisboaSisyphus2182-84742182-96402025-06-0113210.25749/sis.39111Integrating Machine Learning and Educational RoboticsCharles Soares Pimentel0Fábio Ferrentini Sampaio1Programa de Pós-Graduação em Informática, Universidade Federal do Rio de Janeiro / Graded-American School of Rio de Janeiro, BrazilEscola Superior de Tecnologia, Instituto Politécnico de Setúbal, Portugal This study explores an experiment conducted at a tuition-free school in Rio de Janeiro, Brazil, aimed at introducing high school students to Artificial Intelligence (AI) concepts through their mathematical foundations. Eleven students participated in workshops designed to connect mathematics and AI by engaging with a Weightless Neural Network (WNN) algorithm – WiSARD. The scripted activities focused on the mathematical calculations involved in the algorithm's training and classification phases, enhancing students' understanding of machine learning (ML). The results showed that students grasped both the functioning of the WiSARD algorithm and the mathematical principles behind it. Additionally, the activities fostered reflection on ethical concerns related to AI, emphasizing developer responsibility and the importance of protecting personal data. https://revistas.rcaap.pt/sisyphus/article/view/39111artificial intelligence in educationneural networkeducational roboticstechnologies in education
spellingShingle Charles Soares Pimentel
Fábio Ferrentini Sampaio
Integrating Machine Learning and Educational Robotics
Sisyphus
artificial intelligence in education
neural network
educational robotics
technologies in education
title Integrating Machine Learning and Educational Robotics
title_full Integrating Machine Learning and Educational Robotics
title_fullStr Integrating Machine Learning and Educational Robotics
title_full_unstemmed Integrating Machine Learning and Educational Robotics
title_short Integrating Machine Learning and Educational Robotics
title_sort integrating machine learning and educational robotics
topic artificial intelligence in education
neural network
educational robotics
technologies in education
url https://revistas.rcaap.pt/sisyphus/article/view/39111
work_keys_str_mv AT charlessoarespimentel integratingmachinelearningandeducationalrobotics
AT fabioferrentinisampaio integratingmachinelearningandeducationalrobotics