Para além da proporcionalidade linear

um framework epistemológico para o ensino de relações área-volume na educação matemática contemporânea

Autores

DOI:

https://doi.org/10.23925/1983-3156.2026.v28.e74170

Palavras-chave:

Educação matemática, Pensamento proporcional, Epistemologia da matemática, Modelagem Matemática, Ensino de geometria

Resumo

Este artigo propõe um framework epistemológico integrador para o ensino das relações entre área e volume na educação básica, abordando as dificuldades conceituais inerentes à transição do pensamento linear para o multidimensional. Fundamentada no pensamento proporcional complexo, na modelagem matemática e em abordagens contemporâneas da Educação Matemática, a proposta articula princípios teóricos com estratégias didáticas inovadoras. Analisa-se criticamente a “ilusão da proporcionalidade linear” que permeia o ensino tradicional de geometria e propõe-se em seu lugar uma abordagem baseada em fenômenos reais e modelagem matemática. O framework apresentado oferece contribuições significativas para a formação docente e para o desenvolvimento de competências matemáticas complexas e situa-se no debate atual sobre a epistemologia do conhecimento matemático escolar.

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Biografia do Autor

Cleonis Viater Figueira, Universidade Tecnológica Federal do Paraná

Doutora em Matemática

Simone Raquel Casarin Machado, Instituto Federal de Santa Catarina

Mestre em Educação Científica e Tecnológica

Referências

Abrahamson, D., Tancredi, S., Chen, R. S. Y., Flood, V. J., & Dutton, E. (2023). Embodied design: A framework for teaching and learning mathematics. In B. Pepin, G. Gueudet, & J. Choppin (Eds.), The International Handbook of Mathematics Teacher Education (pp. 1-34). https://link.springer.com/rwe/10.1007/978-3-030-95060-6_8-1

Akkerman, S. F., & Bakker, A. (2020). Boundary crossing and boundary objects. Review of Educational Research, 81(2), 132-169. https://doi.org/10.3102/0034654311404435

Almeida, L. M. W. de, & Kowalek, R. M. (2024). O processo de validação em atividades de modelagem matemática: em busca de um framework. Educação Matemática Pesquisa, 26(1), 313–338. https://doi.org/10.23925/1983-3156.2024v26i1p313-338

Andrade, E. A. de O., Silva, I. P. da, & Pina, M. O. M. (2023). Digital Technologies in Mathematics Education. Journal of Interdisciplinary Debates, 4(1), 97–122. https://doi.org/10.51249/jid.v4i01.1255

Artigue, M., Almouloud, S. A., Santos, M. A. dos, & Pereira, S. F. M. (2024). Epistemologia e didática. Educação Matemática Pesquisa, 26(4), 353–388. https://doi.org/10.23925/1983-3156.2024v26i4p353-388

Atkinson, R. C., & Shiffrin, R. M. (1968). Human memory: A proposed system and its control processes. In K. W. Spence & J. T. Spence, The psychology of learning and motivation: II (pp. 89-195). Academic Press. https://doi.org/10.1016/S0079-7421(08)60422-3

Baccaglini-Frank, A., Carotenuto, G., Funghi, S., Lisarelli, G., & Miragliotta, E. (2024). Digital artifacts in Mathematics Education: How can we study the learning processes they promote? Bollettino dell'Unione Matematica Italiana. https://doi.org/10.1007/s40574-024-00439-2

Bairral, M. A., & Barreira, J. C. F. (2017). Algumas particularidades de ambientes de geometria dinâmica na educação geométrica. Revista do Instituto GeoGebra Internacional de São Paulo, 6(2), 46–64. https://revistas.pucsp.br/index.php/IGISP/article/view/35378

Bakker, A. (2020). Design research in education: A practical guide for early career researchers. Routledge. https://www.researchgate.net/publication/323144745_Design_Research_in_Education_A_Practical_Guide_for_Early_Career_Researchers

Bassanezi, R. C. (2002). Ensino-aprendizagem com modelagem matemática. Contexto. https://www.researchgate.net/publication/256007243_Ensino_-_aprendizagem_com_Modelagem_matematica

Borba, M. C. (2012). Humans-with-media and mathematics education. ZDM Mathematics Education, 44, 801–814. https://link.springer.com/article/10.1007/s11858-012-0436-8

Borba, M. C., & Villarreal, M. E. (2005). Humans-with-media and the reorganization of mathematical thinking. Springer. https://link.springer.com/book/10.1007/b105001

Brousseau, G. (2002). Theory of didactical situations in mathematics. Kluwer Academic Publishers. https://link.springer.com/book/10.1007/0-306-47211-2

Cobb, P., Jackson, K., & Dunlap, C. (2021). Conducting design research to investigate and support mathematics students' and teachers' learning. In J. Cai (Ed.), Compendium for research in mathematics education (pp. 234–256). National Council of Teachers of Mathematics. https://www.nctm.org/Store/Products/Compendium-for-Research-in-Mathematics-Education-eChapter-9-Conducting-Design-Studies-to-Investigate-and-Support-Mathematics-Students--and-Teachers--Learning-(Download)/

Correia, N. D. da S., & Santos, V. de O. (2021). A cultura afro-brasileira em trabalhos de Etnomatemática: uma revisão sistemática de pesquisas acadêmicas nacionais. Educação Matemática Pesquisa, 23(1), 655682. https://doi.org/10.23925/1983-3156.2021v23i1p655-682

De Bock, D., Van Dooren, W., Janssens, D., & Verschaffel, L. (2002). Improper use of linear reasoning: An in-depth study of the nature and the irresistibility of secondary school students' errors. Educational Studies in Mathematics, 50, 311–334. https://doi.org/10.1023/A:1021205413749

Dehaene, S. (2020). How we learn: Why brains learn better than any machine... for now. Viking. https://www.learningandthebrain.com/blog/how-we-learn-why-brains-learn-better-than-any-machine-for-now-by-stanislas-dehaene/

Drijvers, P., & Sinclair, N. (2024). The role of digital technologies in mathematics education: purposes and perspectives. ZDM Mathematics Education, 56, 239–248. https://doi.org/10.1007/s11858-023-01535-x

González, N., Moll, L. C., & Amanti, C. (2005). Funds of knowledge: Theorizing practices in households, communities, and classrooms. Routledge. https://www.routledge.com/Funds-of-Knowledge-Theorizing-Practices-in-Households-Communities-and-Classrooms/Gonzalez-Moll-Amanti/p/book/9780805849189

Gutstein, E. (2006). Reading and writing the world with mathematics: Toward a pedagogy for social justice. Routledge. https://www.researchgate.net/publication/317953691_Reading_and_writing_the_world_with_mathematics_toward_a_pedagogy_for_social_justice

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. https://www.researchgate.net/publication/332180327_Artificial_Intelligence_in_Education_Promise_and_Implications_for_Teaching_and_Learning

Hoyles, C., & Noss, R. (2009). The technological mediation of mathematics and its learning. Human Development, 52(2), 119-147. https://doi.org/10.1159/000202730

Kripka, R. M. L., & Ribeiro, A. J. (2025). Os professores e as pesquisas da própria prática: uma revisão sistemática de literatura. Educação Matemática Pesquisa, 27(1), 186–216. https://doi.org/10.23925/1983-3156.2025v27i1p186-216

Leung, A., Baccaglini-Frank, A., Mariotti, M. A., & Miragliotta, E. (2024). Enhancing Geometric Skills with Digital Technology: The Case of Dynamic Geometry. In B. Pepin, G. Gueudet, & J. Choppin (Eds.), The International Handbook of Mathematics Teacher Education (pp. 409-437). https://doi.org/10.1007/978-3-031-45667-1_15

Li, D., Fan, X., & Meng, L. (2024). Development and validation of a higher-order thinking skills (HOTS) scale for major students in the interior design discipline for blended learning. Scientific Reports, 14, 15756. https://doi.org/10.1038/s41598-024-70908-3

Lobato, J., & Ellis, A. B. (2010). Developing essential understanding of ratios, proportions, and proportional reasoning for teaching mathematics in grades 6-8. In National Council of Teachers of Mathematics, The International Handbook of Mathematics Education (pp. 345-367). Springer. https://www.researchgate.net/publication/317953682_Developing_essential_understanding_of_ratios_proportions_and_proportional_reasoning_for_teaching_mathematics_in_grades_6-8

Melo Vieira, M. S., & Santos, M. C. dos. (2019). Proporcionalidade: um olhar a partir da TAD. Educação Matemática Pesquisa, 21(5). https://doi.org/10.23925/1983-3156.2019v21i5p514-528

Mijač, T., Jadrić, M., & Ćukušić, M. (2024). Measuring the success of information systems in higher education - a systematic review. Education and Information Technologies, 29, 18323–18360. https://doi.org/10.1007/s10639-024-12564-8

Netz, R. (2003). The Shaping of Deduction in Greek Mathematics. Cambridge University Press. https://classics.stanford.edu/publications/shaping-deduction-greek-mathematics

Organisation for Economic Co-Operation and Development – OECD. (2018). PISA 2018 results: What students know and can do. OECD Publishing. https://doi.org/10.1787/5f07c754-en

Organisation for Economic Co-Operation and Development – OECD. (2023). PISA 2023 results: The state of learning and equity in education. OECD Publishing. https://doi.org/10.1787/53f23881-en

Oughton, H. (2016). Funds of knowledge - a conceptual critique. Studies in the Education of Adults, 42(1), 63–78. https://doi.org/10.1080/02660830.2010.11661589

Ponte, J. P. da, & Chapman, O. (2022). Mathematics teacher knowledge. Journal of Mathematics Teacher Education, 25(2), 145–167. https://www.researchgate.net/profile/Joao-Ponte-2/publication/260987281_Mathematics_teachers'_knowledge_and_practices/links/0deec532ec2c1ac105000000/Mathematics-Teachers-Knowledge-and-Practices.pdf

Santos, S. M. A. V., Medeiros, J. M., & Meroto, M. B. das N. (Orgs.). (2024). Práticas pedagógicas inclusivas e tecnologias: o caminho para o processo de aprendizagem. Contemporânea. https://revistacontemporanea.com/e-books/praticas-pedagogicas-inclusivas-e-tecnologias-o-caminho-para-o-processo-de-aprendizagem/

Selwyn, N. (2013). Digital technology and the contemporary university: on some research issues. Distances et Médiations des Savoirs, 4. https://doi.org/10.4000/dms.369

Sherin, M., Jacobs, V. R., & Philipp, R. A. (2011). Mathematics teacher noticing. Seeing through teachers’ eyes. Taylor & Francis. https://www.researchgate.net/publication/268171862_Mathematics_teacher_noticing_Seeing_through_teachers'_eyes

Silva, M. R. da, & Pazuch, V. (2024). Tecnologias digitais no ensino de geometria: uma revisão sistemática da literatura. Educação Matemática Pesquisa, 26(2), 31–55. https://doi.org/10.23925/1983-3156.2024v26i2p031-055

Sinclair, N., & Moss, J. (2012). The more it changes, the more it becomes the same: The development of the routine of shape identification in dynamic geometry environments. Digital Experiences in Mathematics Education, 6(2), 123–145. https://www.sciencedirect.com/science/article/abs/pii/S0883035511001285?via%3Dihub

Skovsmose, O. (1994). Towards a philosophy of critical mathematics education. Educational Studies in Mathmatics, 27, 35–57. https://doi.org/10.1007/BF01284527

Stavy, R., & Tirosh, D. (2000). How students (mis-)understand science and mathematics. Teachers College Press. https://www.researchgate.net/publication/31735228_How_Students_Mis-Understand_Science_and_Mathematics_Intuitive_Rules

Sweller, J. (2020). Cognitive load theory and educational technology. Educational Technology Research and Development, 68(1), 1–16. https://doi.org/10.1007/s11423-019-09701-3

United Nations Educational, Scientific and Cultural Organization – Unesco. (2023). Guidance for generative AI in education and research. Unesco Publishing. https://unesdoc.unesco.org/ark:/48223/pf0000386693

Publicado

2026-03-23

Como Citar

Figueira, C. V., & Machado, S. R. C. (2026). Para além da proporcionalidade linear: um framework epistemológico para o ensino de relações área-volume na educação matemática contemporânea. Educação Matemática Pesquisa: Revista Do Programa De Estudos Pós-Graduados Em Educação Matemática, 28, 01–33. https://doi.org/10.23925/1983-3156.2026.v28.e74170

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