Innovative Teaching Models and Critical Thinking in Mathematics and Statistics Education: A Meta-Analytical Review
DOI:
https://doi.org/10.46328/ijres.5054Keywords:
Meta-analysis , Critical Thinking, Mathematics Education, Statistics Education, Publication BiasAbstract
This meta-analysis investigates the impact of innovative learning models—such as problem-based learning, blended learning, and metaverse-based instruction—on students’ critical thinking skills in mathematics and statistics education. Based on data from 19 studies, the analysis revealed a large overall effect (Hedges’ g = 1.03) in favor of innovative methods compared to conventional approaches. Substantial heterogeneity (I² = 91.37%) indicates potential moderating factors influencing the outcomes. Results from publication bias analyses—including funnel plots, Egger’s test, Trim and Fill, and Rosenthal’s Fail-Safe N (N = 1559) showed no significant bias, supporting the validity of the findings. These results underscore the transformative potential of innovative teaching practices in mathematics and statistics classrooms. However, the limited representation of statistical critical thinking studies suggests a need for further research across diverse contexts and long-term implementations. Overall, the findings highlight the importance of adopting student-centered learning strategies to meet the demands of 21st-century education.
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