A Developmental Approach in the Didactics of Statistics: Formative Stages and Actions

A Developmental Approach in the Didactics of Statistics: Formative Stages and Actions

Authors

  • Frank Michel Universidad de la Habana

Keywords:

didactics of statistics, developmental approach, statistical education, developmental learning

Abstract

The transformation of statistics education in higher education has become a requirement arising from the development of data science and the current demands of professional training. This research article aims to propose and substantiate a system of stages and actions for statistical education, from a developmental approach, that promotes meaningful, transferable, and lasting learning. The study adopted a qualitative exploratory-descriptive approach, using documentary analysis and participant observation in university-level statistics courses. The results reveal the predominance of traditional teaching practices focused on the mechanical application of procedures, with limited promotion of cognitive autonomy and learning transfer. As a result, a system of stages and actions is proposed as a cognitive node of statistical education, integrating the planning of statistical studies of real-world phenomena, data collection, data simplification and interpretation, and the communication of results. This system is grounded in the pedagogical ideas of Cuban educators and in Vygotsky’s historical-cultural theory. It is concluded that the developmental approach in the didactics of statistics represents a relevant pathway for guiding the transformation of statistics education in higher education.

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References

Cárdenas, M., Navarro, Á. G., & Morales, O. (2025). Diagnóstico de competencias para la dirección del proceso de enseñanza desarrollador de la matemática en docentes en formación. ICuali, 1(1), 205-215. https://doi.org/10.5281/zenodo.16182641

Castellanos, D., Castellanos, B., Llivina, M. J., Silverio, M., Reinoso, C., & García, C. (2002). Aprender y Enseñar en la Escuela: Una Concepción Desarrolladora. https://profesorailianartiles.wordpress.com/wp-content/uploads/2013/04/aprender-y-ensec3b1ar-en-la-escuela-una-concepcic3b3n-desarrolladora.pdf

Cujbă, A., & Pifarré, M. (2024). Enhancing students' attitudes towards statistics through innovative technology-enhanced, collaborative, and data-driven project-based learning. Humanities and Social Sciences Communications, 11, 1094. https://doi.org/10.1057/s41599-024-03469-5

Eduardo, A., & Enrique, F. M. (2018). Concepción didáctica para la estadística aplicada en la formación de profesores de perfil humanístico. Atlante: Cuadernos de Educación y Desarrollo, (12). https://www.eumed.net/rev/atlante/2018/06/profesores-perfil-humanistico.html

Enrique, F. M. (2016). Una concepción didáctica para el proceso de enseñanza-aprendizaje de la Estadística en la formación inicial del profesor de Matemática [Tesis doctoral, Universidad de Ciencias Pedagógicas "Enrique José Varona"]. https://doi.org/10.13140/RG.2.2.25108.73604

Fielding, J., Makar, K., & Ben-Zvi, D. (2025). Developing students' reasoning with data and data-ing. ZDM–Mathematics Education, 57(2), 233-251. https://doi.org/10.1007/s11858-025-01671-6

François, K., Monteiro, C., & Allo, P. (2020). Statistics education from the perspective of statistical literacy: Reflections taken from studies with teachers. Statistics Education Research Journal, 19(3), 98-115. https://scholarworks.umt.edu/tme/vol18/iss3/10

Lee, H. S. (2022). Investigating data like a data scientist: Designing learning experiences for data literacy. Statistics Education Research Journal, 21(2), 1-15. https://iase-pub.org/ojs/SERJ/article/view/41

Naveira, W. J., & Valdivia, M. Á. (2022). El proceso de enseñanza-aprendizaje desarrollador de la Matemática y su dirección en la Educación Superior. Didáctica y Educación, 13(1), 100-128. https://revistas.ult.edu.cu/index.php/didascalia/article/view/1289

Rosenberg, J. M., & Jones, W. M. (2024). Data science learning in grades K–12: Synthesizing evidence from international practice. Harvard Data Science Review, 6(3). https://doi.org/10.1162/99608f92.b1233596

Schreiter, S. (2024). Teaching for statistical and data literacy in K–12 STEM education: A systematic review on teacher variables, teacher education and impacts on classroom practice. ZDM–Mathematics Education, 56(4), 623-647. https://link.springer.com/article/10.1007/s11858-023-01531-1

Seguí, J. F., Alsina, Á., & Vásquez, C. (2024). Teaching Statistics for Sustainability across Contexts: Exploring the Knowledge and Beliefs of Teachers. Sustainability, 16(2), 692. https://doi.org/10.3390/su16020692

Weiland, T. (2022). Opportunities for K–8 students to learn statistics created by state mathematics standards. Journal for Research in Mathematics Education, 53(1). https://doi.org/10.1080/26939169.2022.2075814

Zilberstein, J., & Olmedo, S. (2015). Didáctica desarrolladora: Posición desde el enfoque histórico cultural. Educação e Filosofia, 29(57), 61-93. https://doi.org/10.14393/REVEDFIL.issn.0102-6801.v29n57a2015-p61a93

Lerner, A., & Gelman, A. (2024). In Pursuit of Campus-Wide Data Literacy: A Guide to Developing a Statistics Course for Students in Nonquantitative Fields. Journal of Statistics and Data Science Education, 32(3), 241-252. https://doi.org/10.1080/26939169.2023.2276844

Published

2026-06-16

How to Cite

Frank Michel. (2026). A Developmental Approach in the Didactics of Statistics: Formative Stages and Actions: A Developmental Approach in the Didactics of Statistics: Formative Stages and Actions. Pedagogical Horizon, 15. Retrieved from //www.horizontepedagogico.cu/index.php/hop/article/view/555

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Section

Aula Abierta

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