Deep Learning for Numeracy: A Roadmap to Asta Cita in Primary Education

The consistently low numeracy performance of primary school students, as evidenced in national and international assessments, highlights the pressing need for pedagogical reform that prioritizes meaningful and contextualized learning. This study aims to develop a conceptual framework for mathematics instruction grounded in deep learning to enhance students’ critical numeracy skills in accordance with Indonesia’s national development goals, Asta Cita. Using a systematic literature review combined with thematic analysis, the study reviewed 35 peer-reviewed international journal articles. The selected articles focused on primary students aged 7–12 and were analyzed using document analysis techniques. Braun and Clarke’s thematic analysis was applied to uncover key pedagogical approaches. Findings indicate that deep learning strategies such as real-world problem solving, project-based learning, reflective inquiry, and differentiated instruction, effectively promote higher-order thinking, problem-solving capabilities, and lifelong learning habits. These strategies also align with efforts to ensure inclusive, culturally relevant education and national autonomy. The study concludes that embedding deep learning within primary mathematics instruction not only strengthens numeracy achievement but also contributes to realizing Indonesia’s Golden Generation 2045.

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Publication Details

Journal
Journal for Lesson and Learning Studies
Published
2025-07-25
DOI
https://doi.org/10.23887/jlls.v8i2.99932
Primary Topic
Mathematics Education and Teaching Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep Learning for Numeracy: A Roadmap to Asta Cita in Primary Education

Arizkylia Yoka Putri, Wiryanto Wiryanto, Suryanti Suryanti
Journal for Lesson and Learning Studies
Mathematics Education and Teaching Techniques
article

Deep Learning for Numeracy: A Roadmap to Asta Cita in Primary Education

Arizkylia Yoka Putri, Wiryanto Wiryanto, Suryanti Suryanti
article en

Abstract

The consistently low numeracy performance of primary school students, as evidenced in national and international assessments, highlights the pressing need for pedagogical reform that prioritizes meaningful and contextualized learning. This study aims to develop a conceptual framework for mathematics instruction grounded in deep learning to enhance students’ critical numeracy skills in accordance with Indonesia’s national development goals, Asta Cita. Using a systematic literature review combined with thematic analysis, the study reviewed 35 peer-reviewed international journal articles. The selected articles focused on primary students aged 7–12 and were analyzed using document analysis techniques. Braun and Clarke’s thematic analysis was applied to uncover key pedagogical approaches. Findings indicate that deep learning strategies such as real-world problem solving, project-based learning, reflective inquiry, and differentiated instruction, effectively promote higher-order thinking, problem-solving capabilities, and lifelong learning habits. These strategies also align with efforts to ensure inclusive, culturally relevant education and national autonomy. The study concludes that embedding deep learning within primary mathematics instruction not only strengthens numeracy achievement but also contributes to realizing Indonesia’s Golden Generation 2045.

Journal for Lesson and Learning StudiesVol. 8(2)
Universitas Negeri Surabaya (ID)
Openalex Percentile: Top 68%
Mathematics Education and Teaching Techniques
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