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Modeling the determinants of AI integration in primary mathematics education: A structural equation modeling analysis Yulianto, Dwi; Juniawan, Egi Adha; Junaedi, Yusup; Astari; Nurcahyo, Rahmat
Jurnal Elemen Vol 11 No 4 (2025): October
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jel.v11i4.30518

Abstract

This study addresses a critical gap in educational technology research by simultaneously examining the internal and external determinants of Artificial Intelligence (AI) integration in primary mathematics instruction. Using a second-order Structural Equation Modeling (SEM) framework, the study investigates how teachers’ attitudes and TPACK competencies (internal factors), alongside policy support, infrastructure, and community engagement (external factors), influence AI utilization among 516 primary school mathematics teachers in Jakarta, Indonesia. The results reveal that internal factors have a strong direct effect on AI utilization (β = 0.791; p < 0.001), while external factors exert a significant indirect influence via internal mediators (β = 0.217; p < 0.001), despite an insignificant direct effect (β = 0.008; p = 0.908). The model explains 78.1% of the variance in AI utilization (R² = 0.781) and shows high predictive relevance (Q² > 0.70). These findings underscore the pivotal role of teacher readiness in AI integration, with systemic support enhancing its effectiveness through internal capacity-building. The study contributes an empirically validated instrument and a comprehensive ecological model, offering actionable insights for policymakers and educators in developing nations pursuing ethical, equitable, and sustainable AI integration in primary education.
Digital Game-Based Learning in Primary Mathematics: A Systematic Review and Meta-Analysis of Research Trends and Learning Outcomes Yulianto, Dwi; Situmeang, Muhamad Mukri; Astari; Nurcahyo, Rahmat
RANGE: Jurnal Pendidikan Matematika Vol. 7 No. 2 (2026): Range Januari 2026
Publisher : Pendidikan Matematika UNIMOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpm.v7i2.10225

Abstract

This study presents a systematic literature review and meta-analysis of 37 empirical articles examining the implementation of Digital Game-Based Learning (DGBL) in primary school mathematics education from 2018 to 2025. Utilizing the PRISMA framework and thematic coding techniques, the study analyzes publication trends, geographical distribution, mathematical content coverage, research methodologies, as well as the types and modes of games employed. The findings indicate a significant increase in publications after 2020, with 42% originating from Asia, particularly China, Indonesia, and Malaysia. Numeracy topics, such as numbers and arithmetic operations, dominate 86% of the studies, while topics like statistics and probability remain underrepresented. Quantitative approaches, especially experimental designs, account for 68% of the methodologies used. Mini-games and individual gameplay modes are the most commonly adopted, whereas collaborative and narrative-based modes remain limited. The meta-analysis reveals that DGBL has a significant positive impact on conceptual understanding, learning motivation, and problem-solving skills. These findings highlight the importance of developing more inclusive, contextualized, and adaptive DGBL designs to strengthen foundational mathematical literacy in the digital era.