Using ChatGPT to solve mathematical problems about directly and inversely proportional variables

Detalhes bibliográficos
Autor(a) principal: Antunes Ribeiro, André Ricardo
Data de Publicação: 2024
Outros Autores: Rosotti Navarro, Eloísa, Kalinke, Marco Aurélio
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Revista Pesquisa Qualitativa (Online)
Texto Completo: https://editora.sepq.org.br/rpq/article/view/716
Resumo: This article presents the results of a qualitative study about the interaction between users and ChatGPT in solving mathematical problems concerning direct and inversely proportional quantities. With an exploratory approach, the methodological procedure was divided into five stages: chatbot selection, choice of instructional materials, selection of mathematical problems, use of ChatGPT, and finally, analysis of responses according to the presented content. Four problems were input into ChatGPT for result analysis, highlighting its propensity for errors and emphasizing the need for preliminary testing. Despite limitations, we found that ChatGPT can contribute to the construction of mathematical knowledge as a viable alternative for the design of new pedagogical proposals combined with digital technologies. Advances in machine learning, such as increased accuracy in textual recognition, directly influence natural language, making didactic experiences with chatbots safer.
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spelling Using ChatGPT to solve mathematical problems about directly and inversely proportional variablesO uso do ChatGPT para resolver problemas matemáticos sobre grandezas direta e inversamente proporcionais Conversational AgentsChatbotsMathematics EducationArtificial IntelligenceDigital TechnologiesAgentes ConversacionaisChatbotsEducação MatemáticaInteligência ArtificialTecnologias DigitaisThis article presents the results of a qualitative study about the interaction between users and ChatGPT in solving mathematical problems concerning direct and inversely proportional quantities. With an exploratory approach, the methodological procedure was divided into five stages: chatbot selection, choice of instructional materials, selection of mathematical problems, use of ChatGPT, and finally, analysis of responses according to the presented content. Four problems were input into ChatGPT for result analysis, highlighting its propensity for errors and emphasizing the need for preliminary testing. Despite limitations, we found that ChatGPT can contribute to the construction of mathematical knowledge as a viable alternative for the design of new pedagogical proposals combined with digital technologies. Advances in machine learning, such as increased accuracy in textual recognition, directly influence natural language, making didactic experiences with chatbots safer.Este artigo apresenta resultados de uma pesquisa qualitativa sobre a interação entre usuários e o ChatGPT na resolução de problemas matemáticos concernentes a grandezas direta e inversamente proporcionais. Com uma abordagem exploratória, o procedimento metodológico foi dividido em cinco etapas: seleção do chatbot, escolha do material didático, seleção dos problemas matemáticos, uso do ChatGPT e, por fim, análise das respostas conforme o conteúdo apresentado. Quatro problemas foram inseridos no ChatGPT para análise dos resultados, evidenciando sua propensão a erros e destacando a necessidade de testes prévios. Apesar das limitações, constatamos que o ChatGPT pode contribuir para a construção de conhecimentos matemáticos, como uma alternativa viável para o delineamento de novas propostas pedagógicas aliadas com as tecnologias digitais. Avanços na aprendizagem de máquina, como maior precisão no reconhecimento textual, influenciam diretamente na linguagem natural, tornando as experiências didáticas com chatbots mais seguras.Sociedade de Estudos e Pesquisas Qualitativos - SE&PQ2024-04-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://editora.sepq.org.br/rpq/article/view/71610.33361/RPQ.2024.v.12.n.30.716Qualitative Research Journal ; Vol. 12 No. 30 (2024): Pesquisa Qualitativa e Inteligência Artificial (IA): Ética, Teorização, Métodos e Possibilidades; 01-21Revista Pesquisa Qualitativa; v. 12 n. 30 (2024): Pesquisa Qualitativa e Inteligência Artificial (IA): Ética, Teorização, Métodos e Possibilidades; 01-212525-82221809-025710.33361/RPQ.v.12.n.30reponame:Revista Pesquisa Qualitativa (Online)instname:Sociedade Brasileira de Estudos e Pesquisa Qualitativos (SE&PQ)instacron:SE&PQporenghttps://editora.sepq.org.br/rpq/article/view/716/451https://editora.sepq.org.br/rpq/article/view/716/452Copyright (c) 2024 Revista Pesquisa Qualitativahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAntunes Ribeiro, André RicardoRosotti Navarro, EloísaKalinke, Marco Aurélio2024-05-01T05:33:17Zoai:editora.sepq.org.br:article/716Revistahttps://editora.sepq.org.br/index.php/rpq/indexONGhttps://editora.sepq.org.br/index.php/rpq/oai||revista.rpq@gmail.com2525-82221809-0257opendoar:2024-05-01T05:33:17Revista Pesquisa Qualitativa (Online) - Sociedade Brasileira de Estudos e Pesquisa Qualitativos (SE&PQ)false
dc.title.none.fl_str_mv Using ChatGPT to solve mathematical problems about directly and inversely proportional variables
O uso do ChatGPT para resolver problemas matemáticos sobre grandezas direta e inversamente proporcionais
title Using ChatGPT to solve mathematical problems about directly and inversely proportional variables
spellingShingle Using ChatGPT to solve mathematical problems about directly and inversely proportional variables
Antunes Ribeiro, André Ricardo
Conversational Agents
Chatbots
Mathematics Education
Artificial Intelligence
Digital Technologies
Agentes Conversacionais
Chatbots
Educação Matemática
Inteligência Artificial
Tecnologias Digitais
title_short Using ChatGPT to solve mathematical problems about directly and inversely proportional variables
title_full Using ChatGPT to solve mathematical problems about directly and inversely proportional variables
title_fullStr Using ChatGPT to solve mathematical problems about directly and inversely proportional variables
title_full_unstemmed Using ChatGPT to solve mathematical problems about directly and inversely proportional variables
title_sort Using ChatGPT to solve mathematical problems about directly and inversely proportional variables
author Antunes Ribeiro, André Ricardo
author_facet Antunes Ribeiro, André Ricardo
Rosotti Navarro, Eloísa
Kalinke, Marco Aurélio
author_role author
author2 Rosotti Navarro, Eloísa
Kalinke, Marco Aurélio
author2_role author
author
dc.contributor.author.fl_str_mv Antunes Ribeiro, André Ricardo
Rosotti Navarro, Eloísa
Kalinke, Marco Aurélio
dc.subject.por.fl_str_mv Conversational Agents
Chatbots
Mathematics Education
Artificial Intelligence
Digital Technologies
Agentes Conversacionais
Chatbots
Educação Matemática
Inteligência Artificial
Tecnologias Digitais
topic Conversational Agents
Chatbots
Mathematics Education
Artificial Intelligence
Digital Technologies
Agentes Conversacionais
Chatbots
Educação Matemática
Inteligência Artificial
Tecnologias Digitais
description This article presents the results of a qualitative study about the interaction between users and ChatGPT in solving mathematical problems concerning direct and inversely proportional quantities. With an exploratory approach, the methodological procedure was divided into five stages: chatbot selection, choice of instructional materials, selection of mathematical problems, use of ChatGPT, and finally, analysis of responses according to the presented content. Four problems were input into ChatGPT for result analysis, highlighting its propensity for errors and emphasizing the need for preliminary testing. Despite limitations, we found that ChatGPT can contribute to the construction of mathematical knowledge as a viable alternative for the design of new pedagogical proposals combined with digital technologies. Advances in machine learning, such as increased accuracy in textual recognition, directly influence natural language, making didactic experiences with chatbots safer.
publishDate 2024
dc.date.none.fl_str_mv 2024-04-30
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://editora.sepq.org.br/rpq/article/view/716
10.33361/RPQ.2024.v.12.n.30.716
url https://editora.sepq.org.br/rpq/article/view/716
identifier_str_mv 10.33361/RPQ.2024.v.12.n.30.716
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://editora.sepq.org.br/rpq/article/view/716/451
https://editora.sepq.org.br/rpq/article/view/716/452
dc.rights.driver.fl_str_mv Copyright (c) 2024 Revista Pesquisa Qualitativa
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Revista Pesquisa Qualitativa
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Sociedade de Estudos e Pesquisas Qualitativos - SE&PQ
publisher.none.fl_str_mv Sociedade de Estudos e Pesquisas Qualitativos - SE&PQ
dc.source.none.fl_str_mv Qualitative Research Journal ; Vol. 12 No. 30 (2024): Pesquisa Qualitativa e Inteligência Artificial (IA): Ética, Teorização, Métodos e Possibilidades; 01-21
Revista Pesquisa Qualitativa; v. 12 n. 30 (2024): Pesquisa Qualitativa e Inteligência Artificial (IA): Ética, Teorização, Métodos e Possibilidades; 01-21
2525-8222
1809-0257
10.33361/RPQ.v.12.n.30
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