Meninas e meninos cubanos diante da inteligência artificial: percepções, interesses e lacunas de conhecimento
Palavras-chave:
Alfabetização em IA, ensino fundamental, percepção infantil, Cuba, políticas digitais.Resumo
A inteligência artificial (IA) tornou-se um eixo transversal do desenvolvimento científico, tecnológico e social. O estudo dos conhecimentos, das percepções e das expectativas das crianças em relação à IA constitui um campo de pesquisa emergente, no qual projetos vêm gerando evidências e propostas educacionais, particularmente na América Latina. Nesse contexto, a alfabetização em IA desde a infância ganha relevância nas políticas educacionais. Este artigo apresenta os resultados de uma pesquisa realizada com 191 escolares de 6 a 12 anos em escolas cubanas, com o objetivo de identificar o que sabem sobre IA, como a percebem, quais são seus receios e o que desejam aprender. Por meio de análises quantitativas e qualitativas, examina-se a necessidade de estratégias educacionais que promovam uma compreensão crítica, ética e criativa dessa tecnologia. Os resultados revelam familiaridade com aplicações cotidianas, conhecimento limitado do conceito e curiosidade sobre seu funcionamento. Este estudo integra um projeto mais amplo de alfabetização em IA.
Referências
Andrianandrianina Johanesa, T. V., Equeter, L., & Mahmoudi, S. A. (2024). Survey on AI applications for product quality control and predictive maintenance in Industry 4.0. Electronics, 13(5), 976. https://doi.org/10.3390/electronics13050976
Bewersdorff, A., Zhai, X., Roberts, J., & Nerdel, C. (2023). Myths, mis- and preconceptions of artificial intelligence: A review of the literature. Computers and Education: Artificial Intelligence, 4, 100143. https://doi.org/10.1016/j.caeai.2023.100143
Brandt, A., Bondü, R., & Elsner, B. (2024). Profiles of executive functions in middle childhood and prediction of later self-regulation. Frontiers in Psychology, 15, Article 1379126. https://doi.org/10.3389/fpsyg.2024.1379126
Caballero, Y., Bello, R., & Rosete, A. (2024). La inteligencia artificial dentro de la transformación digital para el desarrollo. Anales de la Academia de Ciencias de Cuba, 14(1), e1530. https://revistaccuba.sld.cu/index.php/revacc/article/view/1530/1918
Casal-Otero, L., Catala, A., Fernández-Morante, C., Taboada, M., Cebreiro, B., & Barro, S. (2023). AI literacy in K-12: A systematic literature review. International Journal of STEM Education, 10, Article 29. https://doi.org/10.1186/s40594-023-00418-7
Delgado-Font, W., Escobedo-Nicot, M., González-Hidalgo, M., Herold-Garcia, S., Jaume-i-Capó, A., & Mir, A. (2020). Diagnosis support of sickle cell anemia by classifying red blood cell shape in peripheral blood images. Medical & Biological Engineering & Computing, 58(6), 1265–1284. https://link.springer.com/article/10.1007/s11517-019-02085-9
Druga, S., Williams, R., Breazeal, C., & Resnick, M. (2017). “Hey Google is it OK if I eat you?”: Initial explorations in child-agent interaction. In Proceedings of the 2017 Conference on Interaction Design and Children (pp. 595–600). Association for Computing Machinery. https://doi.org/10.1145/3078072.3084330
Escobedo-Nicot, M., Delgado-Font, W., Monteiro-Pereira, E., & Ferreira-Gomes, L. (2022). Automatic morphological evaluation of endothelial cells using different classification methods. In Latin American Conference on Biomedical Engineering (pp. 582–591). Springer Nature Switzerland. https://link.springer.com/chapter/10.1007/978-3-031-49404-8_56
Escobedo-Nicot, M., Font, W. D., Luna, J. J., & Gomes, L. F. (2024). Deep learning models for automatic morphological evaluation of endothelial cells. In Brazilian Congress on Biomedical Engineering (pp. 1106–1117). Springer Nature Switzerland. https://link.springer.com/chapter/10.1007/978-3-031-94934-0_114
Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–16). Association for Computing Machinery. https://doi.org/10.1145/3313831.3376727
Mateus, J.-C., León, L., & Paucar, C.-A. (2025). Imaginarios adolescentes y juveniles sobre la inteligencia artificial en América Latina: voces, tensiones y desafíos para una alfabetización situada. Signo y Pensamiento, 44. https://doi.org/10.11144/Javeriana.syp44.iaji
Mertala, P., & Fagerlund, J. (2024). Finnish 5th and 6th graders’ misconceptions about artificial intelligence. International Journal of Child-Computer Interaction, 39, 100630. https://doi.org/10.1016/j.ijcci.2023.100630
Mertala, P., Fagerlund, J., & Calderon, O. (2022). Finnish 5th and 6th grade students’ pre-instructional conceptions of artificial intelligence (AI) and their implications for AI literacy education. Computers and Education: Artificial Intelligence, 3, 100095. https://doi.org/10.1016/j.caeai.2022.100095
MINCOM (2024). Política de Transformación Digital, Agenda Digital Cubana y Estrategia para el uso de la Inteligencia Artificial. Gobierno de Cuba. https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=http://media.cubadebate.cu/wp-content/uploads/2024/06/Politica_de_Transformacion_Digital_de_Cuba_Agenda_Digital_y_Estrategia.pdf
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041
Touretzky, D., Gardner-McCune, C., Martin, F., & Seehorn, D. (2019). Envisioning AI for K-12: What should every child know about AI? Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9795–9799. https://ojs.aaai.org/index.php/AAAI/article/view/5053
Touretzky, D., Gardner-McCune, C., & Seehorn, D. (2023). Machine learning and the five big ideas in AI. International Journal of Artificial Intelligence in Education, 33(2), 233–266. https://link.springer.com/article/10.1007/s40593-022-00314-1
UNESCO. (2024). AI competency framework for students. https://doi.org/10.54675/JKJB9835
UNICEF. (2021). Policy guidance on AI for children 2.0. UNICEF Office of Global Insight and Policy. https://www.unicef.org/innocenti/media/1341/file/UNICEF-Global-Insight-policy-guidance-AI-children-2.0-2021.pdf
Yim, I. H. Y. (2024). A critical review of teaching and learning artificial intelligence (AI) literacy: Developing an intelligence-based AI literacy framework for primary school education. Computers and Education: Artificial Intelligence, 7, 100319. https://www.sciencedirect.com/science/article/pii/S2666920X2400122X
Publicado
Edição
Seção
Licença
Copyright (c) 2026 Miriela Escobedo Nicot, Yailé Caballero Mota

Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
CC Reconocimiento-NoComercial-SinObrasDerivadas 4.0



.jpg)












