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Artículos

Vol. 28 (2025): Publicación continua

Inteligência Artificial e aprendizagem matemática no ensino médio: evidências e impactos

DOI :
https://doi.org/10.12802/relime.2025.28.e691
Publiée
2025-12-19

Résumé

Cette recherche examine l’utilisation de l’Intelligence Artificielle (IA) comme outil d’apprentissage des mathématiques au lycée à travers une revue systématique de la littérature conduite selon les directives PRISMA. Les études retenues ont été organisées en trois axes : (i) les méthodologies intégrant l’IA dans l’enseignement ; (ii) son impact sur le développement de la pensée mathématique et la résolution de problèmes ; et (iii) les technologies fondées sur l’IA, telles que les tuteurs intelligents, les systèmes adaptatifs et les environnements de simulation. Les résultats montrent que l’IA favorise la personnalisation des apprentissages, améliore le raisonnement logico-mathématique et renforce la pensée algorithmique, contribuant aux performances en algèbre, trigonométrie et géométrie. Toutefois, des défis persistent, notamment l’adoption limitée de ces technologies, les usages automatisés sans réflexion critique et les difficultés d’adaptation des élèves. La littérature souligne également des lacunes dans l’évaluation des effets à long terme et des métriques validant l’apprentissage médiatisé par l’IA.

Références

  1. Anqueban, D., & Huincahue, J. (2024). Artificial intelligence in mathematics education: A systematic review. Uniciencia, 38(1), 357–373. http://dx.doi.org/10.15359/ru.38-1.20
  2. Asmuss, S., & Zudkina, N. (2019). On usage of visualization tools in teaching mathematics at universities. Engineering for Rural Development, 18, 1962-1969. https://doi.org/10.22616/ERDev2019.18.N515
  3. Azevedo, G. T. (2024a). Pensamento computacional e aprendizagem de matemática no ensino médio com uso de ferramentas tecnológicas. Revista Eletrônica de Educação Matemática, 19, e98956. https://doi.org/10.5007/1981-1322.2024.e98956
  4. Azevedo, G. T. de. (2024b). Problem solving involving linear, surface, and volumetric scales: Artificial intelligence as a learning tool. Jornal Internacional de Estudos em Educação Matemática 7(2), 138–149. https://doi.org/10.17921/2176-5634.2024v17n2p138-149
  5. Azevedo, G. T., & Maltempi, M. V. (2022). Contexto Formativo de Invenção Robótico-Matemática: Pensamento Computacional e Matemática Crítica. Bolema, 36(72), 214-238. https://doi.org/10.1590/1980-4415v36n72a10
  6. Azevedo, G. T., & Maltempi, M. V. (2023). Desenvolvimento de habilidades e invenções robóticas para impactos sociais no contexto de Formação em Matemática. Ciência & Educação. 29 (1), 1-21. https://doi.org/10.1590/1516-731320230016
  7. Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52–62. https://dergipark.org.tr/en/pub/jai/article/1337500
  8. Barba, L. A. (2016, July 29). Computational thinking: I do not think it means what you think it means. Blog Lorena A. Barba Group. https://lorenabarba.com/blog/computational-thinking-i-do-not-think-it-means-what-you-think-it-means/
  9. Brasil. (1996). Lei Nº. 9.394, de 20 de dezembro de 1996: estabelece as diretrizes e bases da educação nacional. Diário Oficial da União. http://www.planalto.gov.br/ccivil_03/leis/l9394.htm
  10. Bialik, M., & Fadel, C. (2017). A educação em tempos de mudanças rápidas: Educação para a era da inteligência artificial. Fundação Santillana.
  11. Conselho Nacional de Educação Brasil. (2022). Parecer CNE/CEB nº 2/2022: Normas sobre computação na educação básica – Complemento à Base Nacional Comum Curricular (BNCC). Ministério da Educação. https://www.gov.br/mec/pt-br/cne/resolucoes/esolucoes-ceb-2022
  12. Capinding, A. T. (2023). Revolutionizing pre-calculus education: Photomath's AI-powered mathematics tutorship. Journal of Technology and Science Education 81(6), 758-775. https://doi.org/10.33225/pec/23.81.758
  13. Ergene, O., & Ergene, B. C. (2024). AI chatbots’ solutions to mathematical problems in interactive e-textbooks: affordances and constraints from the eyes of students and teachers. Education and Information Technologies 30, 504-595. https://doi.org/10.1007/s10639-024-13121-z
  14. Everstine, B. W. (2020). Artificial intelligence easily beats human pilot in DARPA trial. Air & Space Force Magazine. https://www.airandspaceforces.com/artificial-intelligence-easily-beats-human-fighter-pilot-in-darpa-trial/
  15. Fadel, C. (2024). Educação para a era da inteligência artificial. Fundação Santillana.
  16. Gadanidis, G. (2017). Artificial intelligence, computational intelligence, and mathematics education. The International Journal of Information and Learning Technology, 34(2), 133–139. https://doi.org/10.1108/IJILT-09-2016-0048
  17. Gadanidis, G., Li, L., & Tan, J. (2024). Mathematics & artificial intelligence: intersections and educational implications. Journal of Digital Life and Learning, 4(1), 1–24. https://doi.org/10.51357/jdll.v4i1.249
  18. Hidayatullah, E., Untari, R., & Fifardin, F. (2024). Effectiveness of AI in solving math problems at the secondary school level: A comparative study with student performance. Union: Jurnal Ilmiah Pendidikan Matematika, 12(2), 350–360. https://doi.org/10.30738/union.v12i2.17548
  19. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: promise and implication for teaching & learning. Center for Curriculum Redesign. https://curriculumredesign.org/our-work/artificial-intelligence-in-education/
  20. Huang, X., & Qiao, C. (2024). Enhancing computational thinking skills through artificial intelligence education at a STEAM high school. Science & Education 33, 383–403. https://doi.org/10.1007/s11191-022-00392-6
  21. Hwang, G.-J., & Tu, Y.-F. (2021). Roles and research trends of artificial intelligence in mathematics education: a bibliometric mapping analysis and systematic review. Mathematics, 9(6), 584. https://doi.org/10.3390/math9060584
  22. Lohakan, M., & Seetao, C. (2024). Large-scale experiment in STEM education for high school students using artificial intelligence kit based on computer vision and Python. Heliyon 10(10), e31366. https://doi.org/10.1016/j.heliyon.2024.e31366
  23. Luckin, R. (2018). Machine learning and human intelligence: the future of education in the 21st century. UCL Institute of Education Press. https://discovery.ucl.ac.uk/id/eprint/10178695/
  24. Ministério da Educação (2018). Base Nacional Comum Curricular: Ensino Médio. https://basenacionalcomum.mec.gov.br/
  25. Moor, J. (2000). Alan Turing (1912–1954). Minds and Machines, 10, 461. https://doi.org/10.1023/A:1017354226375
  26. Namilae, A., & Leddo, J. (2024). Comparing the effectiveness of Chat GPT and teacher-generated content for teaching students. International Journal of Social Science and Economic Research 9 (7), 2554-2564. https://doi.org/10.46609/IJSSER.2024.v09i07.031
  27. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., McGuinness, L. A., … Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ (Clinical research ed.), 372(71). https://doi.org/10.1136/bmj.n71
  28. Papert, S. (1980). Mindstorms: children, computers and powerful ideas. Basic Books.
  29. Papert, S. (2008). A máquina das crianças: repensando a escola na era informática. Artes Médicas.
  30. Phu, D. X., Duy, T. T. N., & Duy, N. H. (2025). Approaching artificial intelligence in designing visual aids for teaching mathematics at high school. Pearson Journal 8(31), 128-139. https://doi.org/10.5281/zenodo.14979079
  31. Qurohman, M. T. (2024). Enhancing high school students problem solving ability in algebra through artificial intelligence based learning. International Journal of Trends in Mathematics Education Research 7(4), 9-17.
  32. https://doi.org/10.33122/ijtmer.v7i4.358
  33. Ramli, M., Maifalinda, F., Muhamad, M., & Hasan, A. (2024). Navigating the tech-savvy generation: Key considerations in developing of an artificial intelligence curriculum. International Journal of Artificial Intelligence 13(4), 3942-3950. http://doi.org/10.11591/ijai.v13.i4.pp3942-3950
  34. Resnick, M. (2017). Lifelong kindergarten: Cultivating creativity through projects, passion, peers, and play. MIT Press.
  35. Resnick, M. (2023). Generative AI and creative learning: concerns, opportunities, and choices. https://mres.medium.com/ai-and-creative-learning-concerns-opportunities-and-choices-63b27f16d4d0
  36. Soesanto, R. H., Dirgantoro, K. P. S., & Priyanti, N. (2022). Indonesian students’ perceptions towards AI-based learning in mathematics. Journal on Mathematics Education 13(3), 531-548. https://doi.org/10.22342/jme.v13i3.pp531-548
  37. Son, T. (2024). Intelligent tutoring systems in mathematics education: a systematic literature review using the substitution, augmentation, modification, redefinition model. Computers, 13(10), 270. https://doi.org/10.3390/computers13100270
  38. Stanford University. (2024). Artificial intelligence index report 2024. Stanford Institute for Human-Centered AI (HAI). https://aiindex.stanford.edu/report/
  39. Su, K.-D. (2022). Implementation of innovative artificial intelligence cognitions with problem-based learning guided tasks to enhance students’ performance in science. Journal of Baltic Science Education, 21(2), 245–257. https://doi.org/10.33225/jbse/22.21.245
  40. Thai Nhat Duy, T., & Ahn Tuan, B. (2024). Application of Python for designing visual aids and integration of artificial intelligence (AI) to teaching mathematics at high schools. Journal of Educational Science 69(5B), 137-148. https://doi.org/10.18173/2354-1075.2024-0142
  41. Tegmark, M. (2017). A vida 3.0: o ser humano na era da IA. Benvirá.
  42. Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59 (236), 433–460. https://doi.org/10.1093/mind/LIX.236.433
  43. United Nations Educational, Scientific and Cultural Organization. (2023). Guidance for generative AI in education and research. https://unesdoc.unesco.org/ark:/48223/pf0000386693
  44. Valente, J. A. (2016). Integração do pensamento computacional no currículo da educação básica: diferentes estratégias usadas e questões de formação de professores e avaliação do aluno. Revista e-Curriculum, 14(3), 864–897. https://revistas.pucsp.br/index.php/curriculum/article/view/29051
  45. Van Vaerenbergh, S., & Pérez-Suay, A. (2022). A classification of artificial intelligence systems for mathematics education. In P. R. Richard, P. Vélez, S. Van Vaerenbergh (Eds.). Mathematics Education in the Age of Artificial Intelligence. Springer Nature. https://doi.org/10.1007/978-3-030-86909-0_5
  46. Wing, J. M. (2010). Computational thinking: what and why? Carnegie Mellon University. https://www.cs.cmu.edu/~CompThink/resources/TheLinkWing.pdf
  47. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16, 39. https://doi.org/10.1186/s41239-019-0171-0