Students’ perceptions about the use of artificial intelligence in academic activities in Engineering

Authors

DOI:

https://doi.org/10.35699/2237-5864.2026.58888

Keywords:

chatGPT, artificial intelligence, higher education, education, engineering education

Abstract

The ability of generative artificial intelligence to produce texts like those created by humans has led to social changes that continue to be studied. In education, there are positive aspects such as the possibility of personalized learning and immediate feedback, but there are also negative aspects, such as concerns about ethics, plagiarism and biased information. This study’s objective is to analyze the perception of engineering undergraduate students from a public university about the use of artificial intelligence (AI) in their educational process, especially ChatGPT. A bibliographic survey on Scopus showed that there is a shortage of Brazilian research in the area. A questionnaire related to the use of AI in academic activities was created and sent to students. Based on the data obtained, it is possible to state that students barely use IA in the classroom but use it a lot outside of the classroom. Also, they claim that the tool is useful to clear doubts, even though they still show more trust in the information given by the teacher. This study allows college teachers to understand how engineering students have been using AI, which is useful to stimulate personal and collective reflections about how to integrate the tool into their subjects and to teaching, contributing to the field of Brazilian research on the topic.

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Author Biographies

  • Leonardo Trajano Dias Garcia, Federal Center for Technological Education Celso Suckow da Fonseca

    PhD student and Master's degree in Production Engineering from the Production and Systems Engineering program at CEFET/RJ. Graduated in Production Engineering from CEFET/RJ. Participated in the university's Wolf Finance Financial League, in the Macroeconomics section. Completed three Scientific Initiation Programs throughout his studies and was a Basic Mechanics tutor for a year and a half. Interned in a research group at CEFET/RJ, participating in discussions and developing statistical analyses. His areas of interest are Statistics and Education.

  • Alexandre De Carvalho Castro, Federal Center for Technological Education Celso Suckow da Fonseca

    Full Professor at the Celso Suckow da Fonseca Federal Center for Technological Education (CEFET-RJ) and Research Productivity Scholarship 2 (CNPq), with permanent participation in two Stricto Sensu Postgraduate programs of the institution: in Ethnic-Racial Relations and in Production and Systems Engineering (in which he served as coordinator from November 6, 2020 to March 26, 2024). Alexandre de Carvalho Castro has a PhD in Social Psychology (2005) and a master's degree in Psychology (2000), both from the State University of Rio de Janeiro (UERJ), in addition to a master's degree in Technology from CEFET-RJ (1998).

  • Carolina Maia dos Santos, Federal Center for Technological Education Celso Suckow da Fonseca

    Master and currently PhD student in the Postgraduate Program in Production and Systems Engineering (PPPRO) at the Celso Suckow da Fonseca Federal Center for Technological Education (Cefet/RJ). Graduated in Pedagogy from the State University of Rio de Janeiro (UERJ) and a Bachelor's degree in Production Engineering from Cefet/RJ. Public servant at the Municipal Department of Transportation of the City of Rio de Janeiro (SMTR), currently assigned to the Subsecretariat of Transportation Technology. Mediator in the semi-attendance Production Engineering course at Cefet/RJ - UFF offered through the Cederj Consortium. Collaborating professor in the postgraduate course Practices, Languages ​​and Teaching in Basic Education (lato sensu) at Cefet/RJ.

  • Stela Trotta Silveira, Federal Center for Technological Education Celso Suckow da Fonseca

    She holds a degree in Management Processes, with an emphasis on Entrepreneurship, from Universidade Federal Fluminense (2020), in addition to internship experiences in the areas of Business Administration and Production Engineering. She is currently an undergraduate student in Production Engineering at the Celso Suckow da Fonseca Federal Center for Technological Education (CEFET/RJ) and has been a PIBIC student since October 2023, with a scholarship granted by CNPq.

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Seção especial: IA nos processos de ensino-aprendizagem

Published

2026-02-27

Issue

Section

Seção especial: IA nos processos de ensino-aprendizagem

How to Cite

TRAJANO DIAS GARCIA, Leonardo; DE CARVALHO CASTRO, Alexandre; MAIA DOS SANTOS, Carolina; TROTTA SILVEIRA, Stela. Students’ perceptions about the use of artificial intelligence in academic activities in Engineering. Revista Docência do Ensino Superior, Belo Horizonte, v. 16, p. 1–25, 2026. DOI: 10.35699/2237-5864.2026.58888. Disponível em: https://periodicos.ufmg.br/index.php/rdes/article/view/58888. Acesso em: 1 mar. 2026.