The Effectiveness of Innovative Learning on Mathematical Problem-Solving Ability: A Meta-Analysis

Abstract

Learning problem-solving skills emphasizes reasoning abilities to determine conclusions based on-premises, determining alternative solutions in decision making, thinking creatively in building alternatives to get keys, and critical thinking to evaluate the best solutions in answering problems. This study aims to identify biased publications using the trim and fill method in determining the effectiveness of learning on the problem-solving abilities of junior high school students. This research is a quantitative study with a meta-analysis approach. Data collection based on quantifiable variable numerical information analysis results from mathematical problem-solving abilities in two different learning groups. The data analysis technique uses bias publication analysis with the trim and fills method with the analysis procedure of calculating the effect size, heterogeneity test, calculating the summary effect using the random-effect model, and forest-plot analysis and biased publication analysis. The results showed no publication bias. The validity of differences in innovative and conventional learning effectiveness was valid on junior high school students' mathematics problem-solving skills. This shows that innovative learning effectively improves the mathematical problem-solving ability of junior high school students.