STEAM and educational robotics in the development of statistical literacy
Vanda Santos 1 2 3 * , Ana Silva 1 , Filipa Pinto 1 2 , Marisa Maia Machado 4 , Fernando Martins 1 3 5
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1 Polytechnic University of Coimbra, Coimbra, PORTUGAL2 Research Center on Didactics and Technology in the Education of Trainers, University of Aveiro, Aveiro, PORTUGAL3 inED – Centre for Research and Innovation in Education, Polytechnic University of Coimbra, Coimbra, PORTUGAL4 Department of Education and Psychology, Research Center on Didactics and Technology in the Education of Trainers, University of Aveiro, Aveiro, PORTUGAL5 SPRINT – Sport Physical Activity and Health Research & Innovation Center, Polytechnic University of Coimbra, Coimbra, PORTUGAL* Corresponding Author

Abstract

In primary school, the teaching of mathematics and natural sciences should promote meaningful, context-based learning that enables students to apply knowledge in real-life situations. Interdisciplinary approaches such as STEAM foster 21st century competences through active and collaborative methodologies, while educational robotics (ER) supports the development of computational thinking and social skills. This study analyses the influence of a STEAM practice, incorporating ER on the development of statistical literacy and learning about ocean plastic pollution among 4th grade students. The research adopted a mixed-methods, interpretative action research design. Data were collected by the trainee teacher as participant researcher through performance tasks, field notes, photographs and audio recordings, later used to construct multimodal narratives. Findings reveal statistically significant improvements in global level of knowledge and global performance. The study concludes that steam practices incorporating ER and grounded in real-world problem-solving constitute an effective strategy for fostering statistical literacy.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, Volume 22, Issue 11, November 2026, Article No: em2951

https://doi.org/10.29333/ejmste/19668

Publication date: 25 Oct 2026

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Article Downloads: 11

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