Integrating technology, ethnomathematics, and realistic mathematics education in learning statistics: A learning trajectory

Artigo2025

Farida Nursyahidah ORCID; Wardono Wardono ORCID; Scolastika Mariani ORCID; Kristina Wijayanti ORCID

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Resumo

Statistics is a critical subject for developing students' academic and career competencies, yet it remains challenging for many students due to its abstract nature. To address this issue, a study was conducted to design a learning trajectory for teaching statistical concepts by integrating technology, ethnomathematics, and realistic mathematics education (TE-RME) within the culturally relevant context of pranata mangsa, a traditional Javanese calendar system. Employing a design research methodology, the study involved 32 eighth-grade students from a junior high school in Semarang, Indonesia. It was conducted in three phases: preparation for the experiment, designing learning activities, and retrospective analysis. The resulting learning trajectory consisted of three structured activities: observing pranata mangsa videos to collect and present data, deriving formulas for measures of central tendency, and exploring methods for calculating data dispersion. Findings indicated that the integration of pranata mangsa in the TE-RME framework significantly enhanced students' understanding of statistical concepts by connecting abstract ideas to culturally meaningful contexts. This approach facilitated quicker and more meaningful learning, demonstrating the effectiveness of incorporating local wisdom into mathematics education. The study also highlights the potential for future research to explore other culturally relevant contexts to teach mathematical concepts, further advancing the field of culturally responsive education.

Dados da obra

Tipo
Artigo
Periódico
Infinity Journal, v. 14, n. 3, p. 633-654
Editora
IKIP Siliwangi Bandung
Ano
2025 (2025-06-09)
Idioma
en
Palavras-chave
animation video; design research; statistics; techno-ethno-realistic mathematics education (te-rme); statistics education; ethnomathematics; Realistic Mathematics Education; learning trajectories; local wisdom; measures of central tendency; data dispersion; eighth grade students; educational technology
Temas
Educação Estatística, Etnomatemática
DOI
10.22460/infinity.v14i3.p633-654
ISSN
2460-9285, 2089-6867
Licença
https://creativecommons.org/licenses/by-sa/4.0
Acesso
Download disponível
Fontes
Crossref; DOAJ — Directory of Open Access Journals; OpenAlex
Na Biblioteca desde
27/09/2026 · verificada em 27/09/2026

Como citar

ABNT
NURSYAHIDAH, Farida et al.. Integrating technology, ethnomathematics, and realistic mathematics education in learning statistics: A learning trajectory. Infinity Journal, v. 14, n. 3, p. 633-654, 2025. DOI: https://doi.org/10.22460/infinity.v14i3.p633-654.

APA

Nursyahidah, F., Wardono, W., Mariani, S., & Wijayanti, K. (2025). Integrating technology, ethnomathematics, and realistic mathematics education in learning statistics: A learning trajectory. Infinity Journal, 14(3), 633-654. https://doi.org/10.22460/infinity.v14i3.p633-654

BibTeX
@article{nursyahidah2025,
  author = {Nursyahidah, Farida and Wardono, Wardono and Mariani, Scolastika and Wijayanti, Kristina},
  title = {Integrating technology, ethnomathematics, and realistic mathematics education in learning statistics: A learning trajectory},
  year = {2025},
  journal = {Infinity Journal},
  volume = {14},
  number = {3},
  pages = {633-654},
  publisher = {IKIP Siliwangi Bandung},
  doi = {10.22460/infinity.v14i3.p633-654},
  language = {en}
}
RIS
TY  - JOUR
AU  - Nursyahidah, Farida
AU  - Wardono, Wardono
AU  - Mariani, Scolastika
AU  - Wijayanti, Kristina
TI  - Integrating technology, ethnomathematics, and realistic mathematics education in learning statistics: A learning trajectory
PY  - 2025
JO  - Infinity Journal
VL  - 14
IS  - 3
SP  - 633
EP  - 654
DO  - 10.22460/infinity.v14i3.p633-654
LA  - en
ER  - 

Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS

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