Integrando Aprendizado de Máquina e Robótica Educacional: A Plataforma Frankie para o Ensino de Inteligência Artificial no Ensino Médio

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.

Publication Details

Journal
Scientific Repository of Open Access of Portugal (RCAAP)
Published
2025-06-30
Primary Topic
Sports Science and Education
Type
article
Field-Weighted Citation Impact
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article

Integrando Aprendizado de Máquina e Robótica Educacional: A Plataforma Frankie para o Ensino de Inteligência Artificial no Ensino Médio

Scientific Repository of Open Access of Portugal (RCAAP)
Sports Science and Education
article

Integrando Aprendizado de Máquina e Robótica Educacional: A Plataforma Frankie para o Ensino de Inteligência Artificial no Ensino Médio

article en

Abstract

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.

Scientific Repository of Open Access of Portugal (RCAAP)
Quality Education
Openalex Percentile: Top 34%
Sports Science and Education
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