Onesimus Laia, Harun
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The effect of logical-mathematical intelligence on mathematics learning and moderator analysis: A meta-analysis Onesimus Laia, Harun; Martadiputra, Bambang Avip Priatna; Dahlan, Jarnawi Afgani
Al-Jabar: Jurnal Pendidikan Matematika Vol 16 No 1 (2025): Al-Jabar: Jurnal Pendidikan Matematika
Publisher : Universitas Islam Raden Intan Lampung, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajpm.v16i1.25539

Abstract

Purpose: This study explores the contribution of logical-mathematical intelligence to students' mathematics learning and investigates whether certain contextual factors act as moderators of this relationship. Method: A meta-analysis was conducted by synthesizing findings from empirical studies published between 2014 and 2024. The research followed a systematic review protocol using the PRISMA method, selecting only quantitative studies that focused on the relationship between logical-mathematical intelligence and variables in mathematics education. Data from eligible studies were analyzed using meta-analytic software to estimate effect sizes and assess the influence of various moderator variables, including educational level, sample size, year of publication, and geographical context. Findings: The results demonstrate a strong and consistent relationship between logical-mathematical intelligence and mathematics learning. Students with higher levels of this intelligence tend to perform better in understanding concepts, solving problems, and achieving learning goals in mathematics. While the influence of this intelligence appears stable across different educational levels and locations, notable variations were found based on the sample sizes of the included studies. Significance: The findings emphasize the essential role of logical-mathematical intelligence in mathematics education. Educators are encouraged to integrate teaching strategies that nurture this intelligence through problem-based learning, logical reasoning activities, and concept visualization tools. This study also calls for future research to explore additional moderating factors, such as gender or teaching style, to gain a more nuanced understanding of how this form of intelligence interacts with diverse learning environments.
Moderating Effects of Educational Level and Mathematical Competence on the Effectiveness of Cognitive Conflict Strategy: A Meta-Analysis Onesimus Laia, Harun; Martadiputra, Bambang Avip Priatna; Candraningsih, Yosy; Marjud, Fujiama
RANGE: Jurnal Pendidikan Matematika Vol. 7 No. 1 (2025): Range Juli 2025
Publisher : Pendidikan Matematika UNIMOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpm.v7i1.9531

Abstract

This study aims to analyze the effectiveness of the cognitive conflict strategy in mathematics learning and to examine whether educational level and mathematical competence act as moderators in this strategy. A meta-analysis approach was conducted on 41 effect sizes. Data were analyzed using a random-effects model, with effect sizes calculated using Hedges' g. The data analysis was performed using the Comprehensive Meta-Analysis (CMA) software to ensure the accuracy of effect size calculations, heterogeneity tests, and moderator analyses. The results show that the cognitive conflict strategy has a significant effect (g = 1.047; p < 0.05). Additionally, mathematical competence was found to be a significant moderator (p < 0.05), with the highest effect sizes observed in conceptual understanding (g = 1.712) and critical thinking (g = 1.355). However, the educational level did not serve as a significant moderator (p = 0.092), indicating that the cognitive conflict strategy is beneficial across various educational levels. This study concludes that the cognitive conflict strategy is effective in enhancing mathematics learning, especially in conceptual understanding and critical thinking. Its novelty lies in identifying mathematical competence, not educational level, as a significant moderator. This implies that implementation should be adjusted based on the targeted competence. Future research may explore other potential moderators, including learner traits, instructional design, and technology use, to refine its application.