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Ethnomathematics Learning Module for the Sasak Tribe with a Deep Learning Approach for Understanding Geometry

Artigo2026

Lalu Saparwadi; Robyan Endruw Bafadal; Rahman Ihdanul Alpan; Rahman Ihdanil Alpin; Sakrim Sakrim; I Ketut Sukarma ORCID

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Resumo

This study aims to develop a mathematics teaching module based on the ethnomathematics of the Sasak tribe, incorporating deep learning principles to enhance students' understanding of geometry. The research was conducted at MTs Muhammadiyah Selong with the involvement of 17 seventh-grade students. The module development followed the 4D model, which includes the stages of Define, Design, Develop, and Disseminate. The Define stage focused on gathering information, setting learning objectives, determining the topics, and identifying the target audience and content through data collection from observations and interviews. The Design stage involved selecting the module design, format, and structure. The Develop stage included the creation and editing of the module, followed by expert validation for content and media, and a pilot test to assess its functionality. The Disseminate stage included distributing the validated module to the students for further implementation. The results of the module validation from both media and content experts showed that the module was highly valid, with an average score of 82.69% for content and 82% for media design. A small-scale trial with teachers and students indicated that the module was very practical, with an average score of 84% from teachers and 81% from students. The effectiveness of the module was tested using a paired sample T-test, which revealed a significant improvement in students' geometric understanding (p < 0.05). Furthermore, the N-gain analysis showed a moderate improvement in the students' performance. This research highlights the potential of integrating deep learning principles with local ethnomathematics in creating a meaningful, contextual, and effective learning experience for students, particularly in the understanding of geometry.

Dados da obra

Tipo
Artigo
Periódico
Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram, v. 14, n. 2, p. 828-842
Editora
Universitas Pendidikan Mandalika (UNDIKMA)
Ano
2026 (2026-05-05)
Idioma
en
Palavras-chave
Deep learning; Ethnomathematics; Sasak tribe; Geometry; Module development; Mathematics education; deep learning pedagogy; geometry learning; mathematics teaching module; 4D model; contextual mathematics learning; seventh grade students; madrasah tsanawiyah
Temas
Etnomatemática, Geometria
DOI
10.33394/j-ps.v14i2.19429
ISSN
2338-4530, 2540-7899
Licença
cc-by
Acesso
Download disponível
Fontes
DOAJ — Directory of Open Access Journals; OpenAlex
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
SAPARWADI, Lalu et al.. Ethnomathematics Learning Module for the Sasak Tribe with a Deep Learning Approach for Understanding Geometry. Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram, v. 14, n. 2, p. 828-842, 2026. DOI: https://doi.org/10.33394/j-ps.v14i2.19429.

APA

Saparwadi, L., Bafadal, R. E., Alpan, R. I., Alpin, R. I., Sakrim, S., & Sukarma, I. K. (2026). Ethnomathematics Learning Module for the Sasak Tribe with a Deep Learning Approach for Understanding Geometry. Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram, 14(2), 828-842. https://doi.org/10.33394/j-ps.v14i2.19429

BibTeX
@article{saparwadi2026,
  author = {Saparwadi, Lalu and Bafadal, Robyan Endruw and Alpan, Rahman Ihdanul and Alpin, Rahman Ihdanil and Sakrim, Sakrim and Sukarma, I Ketut},
  title = {Ethnomathematics Learning Module for the Sasak Tribe with a Deep Learning Approach for Understanding Geometry},
  year = {2026},
  journal = {Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram},
  volume = {14},
  number = {2},
  pages = {828-842},
  publisher = {Universitas Pendidikan Mandalika (UNDIKMA)},
  doi = {10.33394/j-ps.v14i2.19429},
  language = {en}
}
RIS
TY  - JOUR
AU  - Saparwadi, Lalu
AU  - Bafadal, Robyan Endruw
AU  - Alpan, Rahman Ihdanul
AU  - Alpin, Rahman Ihdanil
AU  - Sakrim, Sakrim
AU  - Sukarma, I Ketut
TI  - Ethnomathematics Learning Module for the Sasak Tribe with a Deep Learning Approach for Understanding Geometry
PY  - 2026
JO  - Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram
VL  - 14
IS  - 2
SP  - 828
EP  - 842
DO  - 10.33394/j-ps.v14i2.19429
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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