Meta-Analysis of the Effectiveness of Ethnomathematics-Based Learning Models on Students’ Mathematical Conceptual Understanding

Artigo2026

Delima Istiani; Mujib Mujib; Rosida Rakhmawati; Mardiyah Mardiyah

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Resumo

The growing demand for quality education in the globalization era requires students to develop strong mathematical conceptual understanding alongside essential 21st-century competencies. However, international assessments such as PISA indicate that students’ conceptual mastery in several ASEAN countries remains relatively low, partly due to instructional approaches that are less contextual and culturally relevant. In response, ethnomathematics-based learning has been proposed as an alternative model that integrates local cultural contexts into mathematics instruction to enhance meaningful understanding. This study aims to quantitatively synthesize empirical evidence regarding the effectiveness of ethnomathematics-based learning models in improving students’ mathematical conceptual understanding and to examine the influence of moderator variables. A meta-analysis was conducted on 26 eligible studies published between 2018 and 2025, selected through purposive sampling from the Google Scholar database. Effect sizes were calculated using Hedges’ g under a random-effects model, followed by outlier detection, heterogeneity testing, moderator analysis, and publication bias assessment. The results reveal a statistically significant and very high pooled effect size (g = 1.21, p < 0.0001) after outlier removal, indicating strong effectiveness compared to conventional instruction. Despite substantial heterogeneity, moderator analyses highlight variations across educational levels, mathematical topics, cultural contexts, and learning models. Overall, ethnomathematics-based learning demonstrates robust empirical support as an effective approach to strengthening students’ mathematical conceptual understanding.

Dados da obra

Tipo
Artigo
Periódico
Journal of Mathematics Instruction, Social Research and Opinion, v. 5, n. 1
Editora
MASI Mandiri Edukasi
Ano
2026 (2026-02-26)
Idioma
en
Palavras-chave
Ethnomathematics; Meta-Analysis; Mathematical Conceptual Understanding; Learning Models; Mathematics Topics
Temas
Avaliação, Etnomatemática
DOI
10.58421/misro.v5i1.1118
ISSN
2962-7842
Licença
https://creativecommons.org/licenses/by-sa/4.0
Acesso
Acesso aberto
Fontes
Crossref; DOAJ — Directory of Open Access Journals
Na Biblioteca desde
27/09/2026 · verificada em 27/09/2026

Como citar

ABNT
ISTIANI, Delima et al.. Meta-Analysis of the Effectiveness of Ethnomathematics-Based Learning Models on Students’ Mathematical Conceptual Understanding. Journal of Mathematics Instruction, Social Research and Opinion, v. 5, n. 1, 2026. DOI: https://doi.org/10.58421/misro.v5i1.1118.

APA

Istiani, D., Mujib, M., Rakhmawati, R., & Mardiyah, M. (2026). Meta-Analysis of the Effectiveness of Ethnomathematics-Based Learning Models on Students’ Mathematical Conceptual Understanding. Journal of Mathematics Instruction, Social Research and Opinion, 5(1). https://doi.org/10.58421/misro.v5i1.1118

BibTeX
@article{istiani2026,
  author = {Istiani, Delima and Mujib, Mujib and Rakhmawati, Rosida and Mardiyah, Mardiyah},
  title = {Meta-Analysis of the Effectiveness of Ethnomathematics-Based Learning Models on Students’ Mathematical Conceptual Understanding},
  year = {2026},
  journal = {Journal of Mathematics Instruction, Social Research and Opinion},
  volume = {5},
  number = {1},
  publisher = {MASI Mandiri Edukasi},
  doi = {10.58421/misro.v5i1.1118},
  language = {en}
}
RIS
TY  - JOUR
AU  - Istiani, Delima
AU  - Mujib, Mujib
AU  - Rakhmawati, Rosida
AU  - Mardiyah, Mardiyah
TI  - Meta-Analysis of the Effectiveness of Ethnomathematics-Based Learning Models on Students’ Mathematical Conceptual Understanding
PY  - 2026
JO  - Journal of Mathematics Instruction, Social Research and Opinion
VL  - 5
IS  - 1
DO  - 10.58421/misro.v5i1.1118
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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