Deep Learning Based on Ethnomathematics to Strengthen Literacy and Numeracy Skills in Elementary School Students

Muryanti Muryanti; Jaka Wijaya Kusuma; Hamidah Hamidah; Mutoharoh Mutoharoh

Deep Learning Based on Ethnomathematics to Strengthen Literacy and Numeracy Skills in Elementary School Students

Authors

Muryanti Muryanti Universitas Bina Bangsa
Jaka Wijaya Kusuma Universitas Bina Bangsa
Hamidah Hamidah Universitas Bina Bangsa
Mutoharoh Mutoharoh Universitas Bina Bangsa

Keywords:

Deep learning, ethnomathematics, numeracy literacy, elementary education, pedagogical innovation

Abstract

The low achievement of elementary students in literacy and numeracy highlights the need for contextual and deep understanding-oriented instruction. This article aims to formulate an integrative model combining deep learning and ethnomathematics to strengthen numeracy literacy. A literature review method was employed through critical analysis of reputable publications from 2021–2026 addressing mathematical literacy, deep learning pedagogy, and ethnomathematics. The synthesis reveals that deep learning enhances conceptual connections, metacognitive reflection, and knowledge transfer, while ethnomathematics provides culturally responsive and authentic contexts that increase student engagement. The main contribution of this study is the formulation of a five-phase model: cultural engagement, conceptual exploration, collaborative reflection, mathematical abstraction, and transfer and application. This model offers a systematic pedagogical framework for contextual mathematics instruction at the elementary level. It is concluded that the integration possesses strong theoretical and empirical foundations and is relevant for supporting primary education reform.

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Published

2026-05-05

How to Cite

Muryanti, M., Kusuma, J. W., Hamidah, H., & Mutoharoh, M. (2026). Deep Learning Based on Ethnomathematics to Strengthen Literacy and Numeracy Skills in Elementary School Students. International Conference on Artificial Intelligence and the Digital Commons, 1(1), 105–110. Retrieved from https://internationalconference.pasqapro.com/index.php/icaidc/article/view/127