Assessing quality and biases in ethnomathematics-based numeracy worksheets: A Many-Facet Rasch Model analysis

Artigo2025

Rahmi Sri Ramadhani ORCID; Soeharto Soeharto ORCID; Fitria Arifiyanti ORCID; Rully Charitas Indra Prahmana ORCID; Alfa Saleh ORCID; Zsolt Lavicza ORCID

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Resumo

Numeracy is a vital 21st-century skill, enabling students to solve problems relevant to socio-cultural contexts, a significance emphasized by international assessments such as PISA. Teachers can improve students' numeracy abilities by creating teaching materials that incorporate diverse activities to address daily problems through cultural lens (ethnomathematics) within a sociocultural framework. Students’ worksheets are considered effective tools for this purpose. Therefore, this study aimed to investigate numeracy learning activities in ethnomathematics-based worksheets within socio-cultural contexts using Many-Facet Rasch Model analysis. To achieve this objective, ten raters evaluated four learning activities based on five criteria: relevance, feasibility, construction and systematics, appearance, and language appropriateness. A total of 200 data points were coded in the FACETS software and subsequently analyzed. The results confirm that the worksheets meet educational quality standards in terms of both validity and reliability. Language appropriateness was the most challenging criterion for raters, whereas construction and systematics were the easiest. In addition, Rater A was the strictest, while Rater J was the most lenient. The evaluation also confirmed gender bias in Learning Activity 2 and educational background bias in Learning Activity 3.

Dados da obra

Tipo
Artigo
Periódico
Social Sciences & Humanities Open, v. 12, p. 101736
Editora
Elsevier BV
Ano
2025 (2025-01-01)
Idioma
en
Palavras-chave
Ethnomathematics; Expert judgement; Many-facet rasch model; Numeracy worksheet; rater bias; gender bias; language appropriateness; sociocultural context; teaching materials; reliability and validity
Temas
Avaliação, Etnomatemática, Tecnologias Digitais
DOI
10.1016/j.ssaho.2025.101736
ISSN
2590-2911
Licença
https://www.elsevier.com/tdm/userlicense/1.0/
Acesso
Acesso aberto
Fontes
Crossref; DOAJ — Directory of Open Access Journals; OpenAlex
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
RAMADHANI, Rahmi Sri et al.. Assessing quality and biases in ethnomathematics-based numeracy worksheets: A Many-Facet Rasch Model analysis. Social Sciences & Humanities Open, v. 12, p. 101736, 2025. DOI: https://doi.org/10.1016/j.ssaho.2025.101736.

APA

Ramadhani, R. S., Soeharto, S., Arifiyanti, F., Prahmana, R. C. I., Saleh, A., & Lavicza, Z. (2025). Assessing quality and biases in ethnomathematics-based numeracy worksheets: A Many-Facet Rasch Model analysis. Social Sciences & Humanities Open, 12, 101736. https://doi.org/10.1016/j.ssaho.2025.101736

BibTeX
@article{ramadhani2025,
  author = {Ramadhani, Rahmi Sri and Soeharto, Soeharto and Arifiyanti, Fitria and Prahmana, Rully Charitas Indra and Saleh, Alfa and Lavicza, Zsolt},
  title = {Assessing quality and biases in ethnomathematics-based numeracy worksheets: A Many-Facet Rasch Model analysis},
  year = {2025},
  journal = {Social Sciences \& Humanities Open},
  volume = {12},
  pages = {101736},
  publisher = {Elsevier BV},
  doi = {10.1016/j.ssaho.2025.101736},
  language = {en}
}
RIS
TY  - JOUR
AU  - Ramadhani, Rahmi Sri
AU  - Soeharto, Soeharto
AU  - Arifiyanti, Fitria
AU  - Prahmana, Rully Charitas Indra
AU  - Saleh, Alfa
AU  - Lavicza, Zsolt
TI  - Assessing quality and biases in ethnomathematics-based numeracy worksheets: A Many-Facet Rasch Model analysis
PY  - 2025
JO  - Social Sciences & Humanities Open
VL  - 12
SP  - 101736
DO  - 10.1016/j.ssaho.2025.101736
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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