ChatGPT as Co-Advisor in Scientific Initiation: Action Research with Project-Based Learning in Elementary Education

Fabiano Villan, Renato P. dos Santos

Resumo


Background: In the contemporary educational landscape, technology has the power to drive innovative pedagogical practices. Overcoming the resistance of teachers and students to adopting new methods and technologies is a challenge that needs to be addressed. Objectives: To evaluate the effectiveness of ChatGPT as a co-advisor in research projects and its influence on the implementation of Project-Based Learning (PBL), as well as overcoming resistance to the use of new pedagogical methodologies. Design: An action-research methodology was employed, including unstructured interviews and the application of questionnaires via Google Forms. Setting and Participants: The research was conducted in an elementary school, involving 353 students and 16 teachers. Data Collection and Analysis: Data were gathered through observations and notes in meetings and interviews, complemented by electronic questionnaires, with quantitative and qualitative analyses performed via Microsoft Excel and Google Forms. Results: The introduction of ChatGPT as a pedagogical tool led to increased student engagement and decreased teacher resistance, reflected in recognition at local science fairs. Conclusion: The study confirmed the utility of ChatGPT in school research co-orientation, highlighting its role in facilitating PBL and promoting cultural changes in educational practice, with proactive school management identified as a catalysing element in adapting to educational innovations.

Palavras-chave


ChatGPT as Co-advisor, Scientific Initiation, Elementary School, Project-Based Learning, Action Research

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DOI: https://doi.org/10.17648/acta.scientiae.7474

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Direitos autorais 2023 Renato P. dos Santos

Licença Creative Commons
Esta obra está licenciada sob uma licença Creative Commons Atribuição 4.0 Internacional.

ANÚNCIOS

Conceito A2 na Capes(2021)

Índice h5 do Google Scholar: 13
Índice mediana h5 do Google Scholar:24

eISSN: 2178-7727

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