A Meta-Analysis of Numerical Aptitude’s Effect on Learning Outcomes and Mathematical Ability
A Meta-Analysis of Numerical Aptitude’s Effect on Learning Outcomes and Mathematical Ability
Author(s): M. Rais Ridwan, Samsul Hadi, Jailani JailaniSubject(s): Education, Education and training
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: effect size; learning outcomes; mathematical ability; meta-analysis; numerical aptitude
Summary/Abstract: This study examines the effect of numerical aptitude on junior high school students learning outcomes and math abilities. Data were collected using sample size and Pearson correlation coefficient. The data analysis technique with a meta-analysis included publication bias, forest plot, effect size calculation, and heterogeneity test. The effect size of numerical aptitude on learning outcomes and mathematical ability was 0.60 and 0.41 with strong and medium categories, respectively. The results show that numerical aptitude improves math learning outcomes. Other meta-analysis studies find no publication bias. The study improves junior high math learning by identifying numerical talent.
Journal: TEM Journal
- Issue Year: 12/2023
- Issue No: 1
- Page Range: 434-444
- Page Count: 11
- Language: English