Expanding the resilience of the Brazilian education system by supporting the evaluation of digital textbooks

Ranilson Paiva (), Janaína Xisto (), Álvaro Sobrinho (), Alan Silva, Felipe Sarmento, Filipe Recch, Sidarta Tenório, Andressa Carvalho, Ig Bittencourt and Seiji Isotani
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Ranilson Paiva: Federal University of Alagoas
Janaína Xisto: Federal University of Alagoas
Álvaro Sobrinho: Núcleo de Excelência em Tecnologias Sociais
Alan Silva: Núcleo de Excelência em Tecnologias Sociais
Felipe Sarmento: Federal University of Alagoas
Filipe Recch: University of Oxford
Sidarta Tenório: Federal University of Alagoas
Andressa Carvalho: Núcleo de Excelência em Tecnologias Sociais
Ig Bittencourt: Federal University of Alagoas
Seiji Isotani: Núcleo de Excelência em Tecnologias Sociais

Palgrave Communications, 2025, vol. 12, issue 1, 1-9

Abstract: Abstract The Brazilian Textbook Program (Programa Nacional do Livro e do Material Didático—PNLD) contributes to providing equitable access to quality educational resources in public schools. However, various factors such as socioeconomic conditions, environmental challenges, and health crises can disrupt the evaluation, distribution, and use of educational resources, undermining effectiveness. This article explores the potential of augmented intelligence—the integration of human and Artificial Intelligence (AI)—as a solution to enhance resilience in the PNLD’s evaluation process. The study presents an AI-based system designed to streamline the anonymization of digital textbooks, a critical step in ensuring unbiased evaluation. By reducing the time and resources required, this AI-driven approach promises to improve the textbook selection process’s efficiency, impartiality, and equity. Furthermore, we discuss the scalability of this solution and its potential for broader application in educational resource management across various contexts.

Date: 2025
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DOI: 10.1057/s41599-025-05489-1

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