Artificial intelligence in education

possibilities, challenges and ethics in teacher training

Authors

DOI:

https://doi.org/10.35699/2237-5864.2026.58911

Keywords:

generative artificial intelligence, discursive textual analysis, higher education

Abstract

With the expansion of generative artificial intelligence among ordinary users, a significant transformation has been observed in the way content is produced and disseminated. This study aims to understand how the theme of artificial intelligence is being applied to education, to identify gaps, possibilities, and trends that can support future research, especially those related to teacher training (initial or continuing). This is a review of academic literature, carried out within the scope of a doctoral research project, based on data collected from 2022 to 2024. The abstracts of the documents were submitted to discursive textual analysis. The results reveal that the studies address possibilities for using artificial intelligence for different activities, especially in higher education. They also suggest the need for critical evaluation and training of students and teachers, in addition to identifying ethical challenges. Although the importance of teacher training is recognized, the field still lacks investigations into strategies, methodologies, or policies for initial and continuing training in this context.

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Author Biographies

  • Michelle Maria Freitas Neto, Instituto Federal Fluminense

    Teacher at the Fluminense Federal Institute and PhD student in the postgraduate program in Education at the Catholic University of Petrópolis. She has a master's degree in Production Engineering from the State University of Northern Fluminense and a degree in Computer Science from the Fluminense Federal University.

  • Ana Carolina Carius, Catholic University of Petrópolis

    Teacher and researcher in the postgraduate program in Education (PPGE) at the Catholic University of Petrópolis (UCP) in the research line educational processes, culture and technologies. She has a postdoctoral degree in Education and New Technologies and a doctorate and master's degree in Computational Modeling.

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Seção especial: IA nos processos de ensino-aprendizagem

Published

2026-04-10

Issue

Section

Seção especial: IA nos processos de ensino-aprendizagem

How to Cite

FREITAS NETO, Michelle Maria; CARIUS, Ana Carolina. Artificial intelligence in education: possibilities, challenges and ethics in teacher training. Revista Docência do Ensino Superior, Belo Horizonte, v. 16, p. 1–20, 2026. DOI: 10.35699/2237-5864.2026.58911. Disponível em: https://periodicos.ufmg.br/index.php/rdes/article/view/58911. Acesso em: 16 apr. 2026.