Contributions of Implicit Statistical Analysis in the Validation of an Educational Product

Authors

  • Leonardo Dalla Porta Franciscan University
  • Elisângela Corrêa Dutra Franciscan University

DOI:

https://doi.org/10.31416/rsdv.v13i2.1104

Keywords:

Mathematics Teaching, Social Networks, Studygram

Abstract

This study explored the utility of Implicit Statistical Analysis (ISA) as a methodological tool in validating an Educational Product (EP) named “Calculelis”, developed on the Instagram social network to enhance the teaching of mathematics to ninth-grade students in elementary school. Using ISA, we assessed the influence of “Calculelis” on students’ interest and engagement, as well as its role as a complement to face-to-face teaching. Through ISA, we identified relationships between the students’ interaction with the EP and their educational perceptions, highlighting a clear relationship between the interest in exploring additional content and the appreciation of Instagram as an educational tool. The results emphasize the importance of content quality for the success of teaching through social networks and highlight the need for careful pedagogical strategies and meticulously selected content. The analyses with ISA contributed to confirming the validity of “Calculelis” as a resource that enhances the educational experience, providing insights on the effective integration of digital technologies in teaching. This work also enriches the theoretical field of Implicit Statistical Analysis, demonstrating how analyses can improve educational resources, ensuring that they meet students' needs and enhance their pedagogical impact.

Author Biographies

Leonardo Dalla Porta, Franciscan University

Bachelor's degree in Applied Computational Mathematics, bachelor’s degree in mathematics and Pedagogy. Master's and PhD in Science and Mathematics Teaching from the Postgraduate Program in Science and Mathematics Teaching at the Franciscan University. PhD in Educational Sciences from the Université Lumière Lyon 2, France (funded by the PDSE/Capes Program). Professor at the Franciscan University, working in several undergraduate courses and as coordinator of the Professional master’s degree in science and mathematics teaching and coordinator of the Postgraduate Program in Science and Mathematics Teaching (Master's and Doctorate, Academic modality). Develops research focused on the teaching of Mathematics and Statistics in Basic and Higher Education. Professor at the municipal education network of Santa Maria, where he works in the Public Policy and Evaluation Center at the Municipal Department of Education.

Elisângela Corrêa Dutra, Franciscan University

She has a degree in Mathematics from the Federal University of Santa Maria (2004) and a specialization in Mathematics Teaching Methodology from the Faculty of Education São Luís (2020). She is currently a Professor at the Instituto Estadual Padre Caetano. She has experience in the area of ​​Mathematics.

References

BRASIL. Documento Orientador de APCN Área 46: Ensino. Brasília, 2019. Disponível em: https://capes.gov.br/images/Criterios_apcn_2019/ensino.pdf. Acesso em: 20 jul. 2024.

DUTRA, E. C. Matemática Conectada: um Studygram como Recurso Didático para o Ensino Fundamental. Dissertação (Mestrado Profissional em Ensino de Ciências e Matemática) –Universidade Franciscana. Santa Maria, 2024.

FERNANDES, R. M. M. Studygram: interação e compartilhamento de processos de ensino aprendizagem através do Instagram. In: Congresso Brasileiro de Informática na Educação, 7.; Simpósio Brasileiro de Informática na Educação, 29., 2018, Fortaleza. Anais [...]. Fortaleza: SBC, 2018. p. 1964-1967.

GIL, A. C. Métodos e técnicas de pesquisa social. 6. ed. São Paulo: Atlas, 2008.

GRAS, R.; RÉGNIER, J.-C. Origem e Desenvolvimento da Análise Estatística Implicativa (A.S.I.). In: VALENTE, J. A., ALMEIDA, M.E.B. (Org). Uso do CHIC na Formação de Educadores: à guisa de apresentação dos fundamentos e das pesquisas e foco. Rio de Janeiro: Letra Capital, 2015.

NASCIMENTO, J. K. F. Informática aplicada à educação. Brasília: Universidade de Brasília, 2007.

RÉGNIER, J.-C.; ANDRADE, V. L. V. X. Análise estatística implicativa e análise de similaridade no quadro teórico e metodológico das pesquisas em ensino de ciências e matemática com a utilização do software CHIC. Recife: EDUFRPE, 2020.

RITTER, D.; REAL, L. P. V.; BULEGON, A. M. Redes sociais atuando como um ambiente virtual de aprendizagem. In: Seminário Nacional de Inclusão Digital, 4., 2016, Passo Fundo. Anais [...]. Passo Fundo: Universidade de Passo Fundo, 2016.

ROZA, R. H. TICs na aprendizagem sob a perspectiva sociointeracionista. Revista on line de Política e Gestão Educacional, Araraquara, v. 22, n. 2, p. 498 - 506, maio/ago., 2018.

VYGOTSKI, L. S. A formação social da mente. São Paulo: Martins Fontes, 1991.

VYGOTSKY, L. S. Aprendizagem e desenvolvimento intelectual na idade escolar. In: LEONTIEV, A, N. et al. Psicologia e pedagogia: bases psicológicas da aprendizagem e do desenvolvimento. Tradução: Rubens Eduardo Frias. São Paulo: Centauro, 2005.

Published

2025-04-12

How to Cite

PORTA, Leonardo Dalla; DUTRA, Elisângela Corrêa. Contributions of Implicit Statistical Analysis in the Validation of an Educational Product. Revista Semiárido De Visu, [S. l.], v. 13, n. 2, p. 1–16, 2025. DOI: 10.31416/rsdv.v13i2.1104. Disponível em: https://revistas.ifsertao-pe.edu.br/index.php/rsdv/article/view/1104. Acesso em: 20 apr. 2025.