Artificial intelligence in education
how adaptive algorithms can enhance academic performance
DOI:
https://doi.org/10.22633/rpge.v30i00.21254Keywords:
Artificial intelligence, Educational technology, Personalized learningAbstract
This study evaluated the impact of a pedagogical intervention mediated by Artificial Intelligence (AI) and adaptive algorithms on the academic performance of 9th-grade elementary school students in two private schools located in Ananindeua (PA) and São Luís (MA). A comparative study was conducted between a test group, which used personalized learning pathways on an AI-based platform, and a control group, subjected to traditional methodology. The analysis of the results utilized data from the Adventist Basic Education Evaluation Program (PAAEB) and indicators based on Item Response Theory (IRT). The results showed advances in proficiency levels in Portuguese Language and Mathematics, as well as an average relative gain of approximately 49% in the performance of the students monitored by the platform. It is concluded that AI can contribute to the personalization of teaching, provided it is associated with active pedagogical mediation and continuous student monitoring.
Downloads
References
Alves, L., & Lopes, D. (2024). Educação e plataformas digitais: Popularizando saberes, potencialidades e controvérsias. EDUFBA.
Anderson, J., & Rainie, L. (2018). The future of well-being in a tech-saturated world (Vol. 17). Pew Research Center. https://www.pewresearch.org
Andrade, F. D., Tavares, R. H., & Valle, C. R. (2000). Teoria da resposta ao item: Conceitos e aplicações.
Assis, A. H. S. de, Dourado, D., Burani, G. A., Silva, I. F. da, Araújo, J. B. de, & Costa, L. A. da. (2023). Plataformas adaptativas na educação. Pimenta Cultural. https://doi.org/10.31560/pimentacultural/2023.97488
Baker, F. B. (2001). The basics of item response theory. ERIC Clearinghouse on Assessment and Evaluation.
Barbosa, L., Souza, P., Antonio, G., Joerke, O., Macedo, Y. M., Ferreira Vale, R., De Pádua, A., Oliveira, J., Suarez, M., Santo, D., Gomes, C. A., Cristina, S., Gomes, V., Alberti, R., Flávio, J., & Paz, D. (2023). Inteligência artificial na educação: Rumo a uma aprendizagem personalizada. IOSR Journal of Humanities and Social Science, 28(5), 19–25. https://doi.org/10.9790/0837-2805031925
Carbonell, J. R. (1970). An artificial-intelligence approach to computer-assisted instruction. IEEE Transactions on Man-Machine Systems, 11(4), 190–202.
Fadel, C., Black, A., Taylor, R., Slesinski, J., & Dunn, K. (2024). Educação para a era da inteligência artificial (1ª ed.). Todos pela Educação; Moderna.
Fisher, J. (2010). Development and application of a spiritual well-being questionnaire called SHALOM. Religions, 1(1), 105–121. https://doi.org/10.3390/rel1010105
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promise and implications for teaching and learning. Center for Curriculum Redesign. https://www.researchgate.net/publication/332180327
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
Papert, S. (1993). Mindstorms: Children, computers, and powerful ideas (2nd ed.). Basic Books.
Sleeman, D., & Brown, J. S. (Eds.). (1982). Intelligent tutoring systems. Academic Press.
UNESCO. (2024). Global education monitoring report 2024/5: Leadership in education – Lead for learning. UNESCO. https://unesdoc.unesco.org
UNICEF, UNESCO, & International Telecommunication Union. (2020). The digital transformation of education: Connecting schools, empowering learners.
Wolins, L., Wright, B. D., & Rasch, G. (1982). Probabilistic models for some intelligence and attainment tests. Journal of the American Statistical Association, 77(377), 482–483. https://doi.org/10.2307/2287805
Woolf, B. P. (2009). Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning. Elsevier.
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Revista on line de Política e Gestão Educacional

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Manuscritos aceitos e publicados são de propriedade da Revista on line de Política e Gestão Educacional. É vedada a submissão integral ou parcial do manuscrito a qualquer outro periódico. A responsabilidade do conteúdo dos artigos é exclusiva dos autores. É vedada a tradução para outro idioma sem a autorização escrita do Editor ouvida a Comissão Editorial Científica.


