EFFECTIVENESS OF CONCEPTUAL CHANGE STRATEGIES IN SCIENCE EDUCATION: A META-ANALYSIS

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2022-6-29

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Paçacı, Çağatay

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There is extensive literature focusing on students’ misconceptions in various subject domains. Several conceptual change approaches have been trying to understand how conceptual change occurs to help learners handle these misconceptions. This meta-analysis aimed to integrate studies investigating the effectiveness of three types of conceptual change strategies; cognitive conflict, cognitive bridging, and ontological category shift in science learning. We conducted a random-effects meta-analysis to calculate an overall effect size in Hedges’g with a sample of 218 primary studies, including 18,051 students. Our analyses resulted in a large overall effect size (g=1.10, 95% CI [1.01, 1.19], k=218, p<.001). We also performed a Robust Bayesian Meta-analysis to calculate an adjusted effect size, which specified a large effect (adjusted g=0.93, 95% CI [0.68, 1.07], k=218, p<.001). Results are also consistent across the conceptual change strategies of cognitive conflict (g=1.10, 95% CI [0.99, 1.21], k=150, p<.001), cognitive bridging (g=1.06, 95% CI [0.84, 1.28], k=30, p<.001), and ontological category shift (g=0.88, 95% CI [0.50, 1.26], k=9, p<.001). However, a wide-ranging prediction interval [0.19, 2.38] pointed out a high heterogeneity in the distribution of effect sizes. Thus, we investigated the moderating vi effects of several variables using simple and multiple meta-regressions. The final meta-regression model we created explained 35% of overall heterogeneity. This meta-analysis provides robust evidence that conceptual change strategies significantly enhance students’ learning in science.

Subject Keywords

Conceptual Change, Cognitive Conflict, Cognitive Bridging, Ontological Category Shift, Meta-analysis, Science Achievement

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https://hdl.handle.net/11511/98191

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

Ç. Paçacı, “EFFECTIVENESS OF CONCEPTUAL CHANGE STRATEGIES IN SCIENCE EDUCATION: A META-ANALYSIS,” Ph.D. - Doctoral Program, Middle East Technical University, 2022.