Generative artificial intelligence as a co-pilot in universal design for learning: automation ofcurricular adaptation in inclusive education

Generative artificial intelligence as a co-pilot in universal design for learning: automation of curricular adaptation in inclusive education

Authors

  • Jonas de Sousa Leitão Instituto Superior Interamericano de Ciencias Sociales Author
  • Laura de Oliveira Instituto Superior Interamericano de Ciencias Sociales Author
  • Francisco de Assis Costa e Silva Instituto Superior Interamericano de Ciencias Sociales Author
  • Nalva Pimentel Silva Instituto Superior Interamericano de Ciencias Sociales Author
  • Cristiano do Nascimento Siqueira Instituto Superior Interamericano de Ciencias Sociales Author

DOI:

https://doi.org/10.51473/rcmos.v1i1.2026.2230

Keywords:

Teaching Practice, UDL, School Inclusion

Abstract

The daily routine of teachers regarding school inclusion is marked by significant challenges, especially amid the complexities of Middle School. This article discusses the role of Generative Artificial Intelligence (AI) not as a replacement, but as a co-pilot for teachers in implementing Universal Design for Learning (UDL). The objective is to present practical solutions for pedagogical overload, using AI to automate curricular adaptations that teachers often struggle to complete due to time constraints or a lack of tools. Through an analysis of teaching practices in Brazilian schools, the study demonstrates that this technology can be the key to removing pedagogical barriers and transforming planning into a more agile and accessible process. Ultimately, it is proposed that the conscious use of these digital tools offers the necessary support for teachers to effectively embrace diversity in the classroom, ensuring every student's right to learn.

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Author Biography

  • Jonas de Sousa Leitão, Instituto Superior Interamericano de Ciencias Sociales

    Instituto Superior Interamericano de Ciencias Sociales

References

BRASIL. Lei nº 13.146, de 6 de julho de 2015. Institui a Lei Brasileira de Inclusão da Pessoa com Deficiência (Estatuto da Pessoa com Deficiência). Brasília, 2015.

CAST. Universal Design for Learning Guidelines version 2.2. Wakefield, MA, 2018. Disponível em: http://udlguidelines.cast.org. Acesso em: 05 fev. 2026.

MANTOAN, M. T. E. Inclusão escolar: o que é? Por quê? Como fazer? São Paulo: Moderna, 2015.

NELSON, Loui L. Design Universal para Aprendizagem: guia prático para professores e educadores. Curitiba: Appris, 2021.

ROSA, S. S.; ROCHA, R. A. A inteligência artificial na educação: desafios e possibilidades para o ensino inclusivo. Revista Brasileira de Educação Especial, Bauru, 2023.

SANTAELLA, Lucia. A ecologia pluralista das tecnologias: do pragmatismo ao inteligível. São Paulo: Paulus, 2024.

UNESCO. Diretrizes de políticas para a aprendizagem móvel. Paris: UNESCO, 2013.

ZERBATO, Ana P.; LOPES, M. C. O Desenho Universal para a Aprendizagem na formação de professores. Revista Educação Especial, Santa Maria, v. 33, 2020.

Published

2026-04-13

How to Cite

LEITÃO, Jonas de Sousa; OLIVEIRA, Laura de; SILVA, Francisco de Assis Costa e; SILVA, Nalva Pimentel; SIQUEIRA, Cristiano do Nascimento. Generative artificial intelligence as a co-pilot in universal design for learning: automation ofcurricular adaptation in inclusive education: Generative artificial intelligence as a co-pilot in universal design for learning: automation of curricular adaptation in inclusive education. Multidisciplinary Scientific Journal The Knowledge, Brasil, v. 1, n. 1, 2026. DOI: 10.51473/rcmos.v1i1.2026.2230. Disponível em: https://submissoesrevistarcmos.com.br/rcmos/article/view/2230. Acesso em: 14 apr. 2026.