FUNDAMENTOS PARA O ENSINO DE INTELIGÊNCIA ARTIFICIAL COM REDES NEURAIS EXPLICÁVEIS: UMA ABORDAGEM CONSTRUCIONISTA MEDIADA PELO SIMULADOR ROBÓTICO OPEN ROBERTA LAB.
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| Title: | FUNDAMENTOS PARA O ENSINO DE INTELIGÊNCIA ARTIFICIAL COM REDES NEURAIS EXPLICÁVEIS: UMA ABORDAGEM CONSTRUCIONISTA MEDIADA PELO SIMULADOR ROBÓTICO OPEN ROBERTA LAB. |
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| Alternate Title: | Foundations for Teaching Artificial Intelligence with Explainable Neural Networks: a Constructionist Approach Mediated by the Open Roberta Lab Robotic Simulator. |
| Authors: | Trindade, Genarde Macedo1 gmtrindade@uea.edu.br, Coutinho Alves, Jorge Mikael1 jmca.mca26@uea.edu.br, Libório Filho, João da Mata1 jlfilho@uea.edu.br, Oliveira, Jhonathan Araújo1 jholiveira@uea.edu.br, Trindade, Dayane Rosas de Souza2 dayanerosas@gmail.com |
| Source: | Review of Artificial Intelligence in Education. 2026, Issue 7, p1-22. 43p. |
| Subject Terms: | *Artificial intelligence, *Experiential learning, Artificial intelligence in education, Visual programming (Computer science), Robot programming |
| Abstract (English): | Purpose: To analyze the fundamentals for teaching Artificial Intelligence (AI) with Explainable Neural Networks (XAI), from a constructionist approach, investigating the Open Roberta Lab robotic simulator as a pedagogical mediator. Research methods: This study adopts a qualitative, theoretical-analytical approach, based on a literature review and the analysis of an educational artifact. The research was conducted in three stages: (i) theoretical review on AI in education, XAI, and constructionism; (ii) exploration of the Open Roberta Lab with examples involving neural networks; and (iii) analysis of the environment based on criteria such as artifact construction, interactivity, explainability, usability, and pedagogical mediation. Results: The findings indicate that the Open Roberta Lab robotic simulator has significant potential for AI education, particularly by promoting active learning, experimentation, and visualization of neural network processes. The integration of block-based programming, simulation, and XAI contributes to reducing the complexity of models and fostering a more critical and reflective understanding. Discussion: The study highlights the importance of articulating pedagogical and technological foundations in AI education, emphasizing the role of XAI in promoting AI literacy. Furthermore, robotic simulators emerge as accessible alternatives for implementing constructionist practices, especially in contexts with limited infrastructure. Originality and value: As an original contribution, the study proposes a connection between constructionism, XAI (Interactive Application of Technology), and robotic simulation, offering theoretical support for the development of more accessible pedagogical practices. [ABSTRACT FROM AUTHOR] |
| Abstract (Portuguese): | Objetivo: Analisar os fundamentos para o ensino de Inteligência Artificial (IA) com Redes Neurais Explicáveis (XAI), a partir de uma abordagem construcionista, investigando o simulador robótico Open Roberta Lab como mediador pedagógico. Métodos de pesquisa: Trata-se de uma pesquisa qualitativa, de natureza analítica, baseada em revisão de literatura e análise de um artefato educacional. O estudo foi desenvolvido em três etapas: (i) revisão teórica sobre IA na educação, XAI e construcionismo; (ii) exploração do Open Roberta Lab com exemplos envolvendo Redes Neurais; e (iii) análise do ambiente com base em critérios como construção de artefatos, interatividade, explicabilidade, usabilidade e mediação pedagógica. Resultados: Os resultados evidenciam que o simulador robótico Open Roberta Lab apresenta potencial significativo para o ensino de IA, ao favorecer a aprendizagem ativa, a experimentação e a visualização dos processos internos das redes neurais. A integração entre programação em blocos, simulação e XAI contribui para reduzir a complexidade dos modelos e promover uma compreensão mais crítica e reflexiva. Discussão: O estudo reforça a importância da articulação entre fundamentos pedagógicos e tecnológicos no ensino de IA destacando o papel das XAI na promoção do letramento em IA. Evidenciando que simuladores robóticos podem atuar como alternativas acessíveis para a implementação de práticas construcionistas, especialmente em contextos com limitações de infraestrutura. Originalidade e valor: Como contribuição original, o estudo propõe uma articulação entre construcionismo, XAI e simulação robótica, oferecendo subsídios teóricos para o desenvolvimento de práticas pedagógicas mais acessíveis. [ABSTRACT FROM AUTHOR] |
| Copyright of Review of Artificial Intelligence in Education is the property of Editora Alumni In and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 195323577 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: FUNDAMENTOS PARA O ENSINO DE INTELIGÊNCIA ARTIFICIAL COM REDES NEURAIS EXPLICÁVEIS: UMA ABORDAGEM CONSTRUCIONISTA MEDIADA PELO SIMULADOR ROBÓTICO OPEN ROBERTA LAB. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Foundations for Teaching Artificial Intelligence with Explainable Neural Networks: a Constructionist Approach Mediated by the Open Roberta Lab Robotic Simulator. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Trindade%2C+Genarde+Macedo%22">Trindade, Genarde Macedo</searchLink><relatesTo>1</relatesTo><i> gmtrindade@uea.edu.br</i><br /><searchLink fieldCode="AR" term="%22Coutinho+Alves%2C+Jorge+Mikael%22">Coutinho Alves, Jorge Mikael</searchLink><relatesTo>1</relatesTo><i> jmca.mca26@uea.edu.br</i><br /><searchLink fieldCode="AR" term="%22Libório+Filho%2C+João+da+Mata%22">Libório Filho, João da Mata</searchLink><relatesTo>1</relatesTo><i> jlfilho@uea.edu.br</i><br /><searchLink fieldCode="AR" term="%22Oliveira%2C+Jhonathan+Araújo%22">Oliveira, Jhonathan Araújo</searchLink><relatesTo>1</relatesTo><i> jholiveira@uea.edu.br</i><br /><searchLink fieldCode="AR" term="%22Trindade%2C+Dayane+Rosas+de+Souza%22">Trindade, Dayane Rosas de Souza</searchLink><relatesTo>2</relatesTo><i> dayanerosas@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Review+of+Artificial+Intelligence+in+Education%22">Review of Artificial Intelligence in Education</searchLink>. 2026, Issue 7, p1-22. 43p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Experiential+learning%22">Experiential learning</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence+in+education%22">Artificial intelligence in education</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+programming+%28Computer+science%29%22">Visual programming (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Robot+programming%22">Robot programming</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: Purpose: To analyze the fundamentals for teaching Artificial Intelligence (AI) with Explainable Neural Networks (XAI), from a constructionist approach, investigating the Open Roberta Lab robotic simulator as a pedagogical mediator. Research methods: This study adopts a qualitative, theoretical-analytical approach, based on a literature review and the analysis of an educational artifact. The research was conducted in three stages: (i) theoretical review on AI in education, XAI, and constructionism; (ii) exploration of the Open Roberta Lab with examples involving neural networks; and (iii) analysis of the environment based on criteria such as artifact construction, interactivity, explainability, usability, and pedagogical mediation. Results: The findings indicate that the Open Roberta Lab robotic simulator has significant potential for AI education, particularly by promoting active learning, experimentation, and visualization of neural network processes. The integration of block-based programming, simulation, and XAI contributes to reducing the complexity of models and fostering a more critical and reflective understanding. Discussion: The study highlights the importance of articulating pedagogical and technological foundations in AI education, emphasizing the role of XAI in promoting AI literacy. Furthermore, robotic simulators emerge as accessible alternatives for implementing constructionist practices, especially in contexts with limited infrastructure. Originality and value: As an original contribution, the study proposes a connection between constructionism, XAI (Interactive Application of Technology), and robotic simulation, offering theoretical support for the development of more accessible pedagogical practices. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Portuguese) Group: Ab Data: Objetivo: Analisar os fundamentos para o ensino de Inteligência Artificial (IA) com Redes Neurais Explicáveis (XAI), a partir de uma abordagem construcionista, investigando o simulador robótico Open Roberta Lab como mediador pedagógico. Métodos de pesquisa: Trata-se de uma pesquisa qualitativa, de natureza analítica, baseada em revisão de literatura e análise de um artefato educacional. O estudo foi desenvolvido em três etapas: (i) revisão teórica sobre IA na educação, XAI e construcionismo; (ii) exploração do Open Roberta Lab com exemplos envolvendo Redes Neurais; e (iii) análise do ambiente com base em critérios como construção de artefatos, interatividade, explicabilidade, usabilidade e mediação pedagógica. Resultados: Os resultados evidenciam que o simulador robótico Open Roberta Lab apresenta potencial significativo para o ensino de IA, ao favorecer a aprendizagem ativa, a experimentação e a visualização dos processos internos das redes neurais. A integração entre programação em blocos, simulação e XAI contribui para reduzir a complexidade dos modelos e promover uma compreensão mais crítica e reflexiva. Discussão: O estudo reforça a importância da articulação entre fundamentos pedagógicos e tecnológicos no ensino de IA destacando o papel das XAI na promoção do letramento em IA. Evidenciando que simuladores robóticos podem atuar como alternativas acessíveis para a implementação de práticas construcionistas, especialmente em contextos com limitações de infraestrutura. Originalidade e valor: Como contribuição original, o estudo propõe uma articulação entre construcionismo, XAI e simulação robótica, oferecendo subsídios teóricos para o desenvolvimento de práticas pedagógicas mais acessíveis. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Review of Artificial Intelligence in Education is the property of Editora Alumni In and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.37497/rev.artif.intell.educ.v7ii.87 Languages: – Code: mul Text: Multiple languages PhysicalDescription: Pagination: PageCount: 43 StartPage: 1 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Experiential learning Type: general – SubjectFull: Artificial intelligence in education Type: general – SubjectFull: Visual programming (Computer science) Type: general – SubjectFull: Robot programming Type: general Titles: – TitleFull: FUNDAMENTOS PARA O ENSINO DE INTELIGÊNCIA ARTIFICIAL COM REDES NEURAIS EXPLICÁVEIS: UMA ABORDAGEM CONSTRUCIONISTA MEDIADA PELO SIMULADOR ROBÓTICO OPEN ROBERTA LAB. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Trindade, Genarde Macedo – PersonEntity: Name: NameFull: Coutinho Alves, Jorge Mikael – PersonEntity: Name: NameFull: Libório Filho, João da Mata – PersonEntity: Name: NameFull: Oliveira, Jhonathan Araújo – PersonEntity: Name: NameFull: Trindade, Dayane Rosas de Souza IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 29654688 Numbering: – Type: issue Value: 7 Titles: – TitleFull: Review of Artificial Intelligence in Education Type: main |
| ResultId | 1 |
