Transformando desafios cotidianos em oportunidades de aprendizagem: projetos de robótica na educação profissional com suporte do ChatGPT

Abstract

This report describes the development of robotics projects supported by Artificial Intelligence (AI) based on problem situations within the school community. The projects were carried out with second-year students of a Technical Course in Integrated Informatics in the city of Vitória da Conquista, Bahia. The activity was conducted in three stages: problem presentation, circuit creation, and construction and presentation of the model in the school courtyard. ChatGPT was used in all three phases to refine the objectives and assist in troubleshooting issues that arose during circuit assembly and code development. Data were collected through teacher records, electronic forms, excerpts of dialogues with AI, and the models created. The results demonstrated skills such as autonomy, conscious and critical use of technologies, real-world applications of programming language, knowledge in circuit assembly with Arduino code development, and the use of AI as an assistant in project development. The students also reported having achieved their goals and were satisfied with the results.

Author Biographies

Tatiana Vieira dos Santos Paiva, Universidade Estadual do Sudoeste da Bahia

Universidade Estadual do Sudoeste da Bahia (UESB). Vitória da Conquista, BA, Brasil. Mestre em Matemática pelo PROFMAT - UESB. email: tatiana.vieirapaiva@gmail.com

 

 

Claudinei de Camargo Sant'Ana, Universidade Estadual do Sudoeste da Bahia

Universidade Estadual do Sudoeste da Bahia (UESB), Vitória da Conquista, BA, Brasil. Doutor em Educação pela Universidade Estadual de Campinas (Unicamp). email: claudineicsantana@uesb.edu.br

Published
2024-12-17
How to Cite
PAIVA, T. V. DOS S.; SANT’ANA, C. Transformando desafios cotidianos em oportunidades de aprendizagem: projetos de robótica na educação profissional com suporte do ChatGPT. CADERNOS DE PESQUISA: PENSAMENTO EDUCACIONAL, v. 19, n. 53, p. 126-140, 17 dez. 2024.