Prior proportional reasoning knowledge predicts later probabilistic knowledge even after controlling for prior probability knowledge¶

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Pretest proportional reasoning was a significant predictor of posttest probabilistic reasoning, controlling for pretest probabilistic reasoning and URM status, supporting H2b. → Begolli 2021

Evidence¶

Begolli 2021¶

Begolli, K. N., Dai, T., McGinn, K. M., & Booth, J. L. (2021). Could probability be out of proportion? Self-explanation and example-based practice help students with lower proportional reasoning skills learn probability. Instructional Science. https://doi.org/10.1007/s11251-021-09550-9

q3 · i? · causal · r2

Final regression model (Model 4) on posttest probabilistic reasoning weighted sum scores, N = 220, with cluster-adjusted standard errors. Pretest proportional reasoning was among the significant predictors; the model explained 29.4% of variance (F [5, 9] = 60.58, p < 0.001).

"Among all predictors, the treatment, pretest Probabilistic Reasoning, pretest Proportional Reasoning, URM status, and the interaction between treatment and pretest Proportional Reasoning significantly predicted posttest Probabilistic Reasoning scores."

Discussion¶

Related Claims¶

• The learning benefit of the worked-example textbook was greater for students with lower pretest proportional reasoning skills
• Students using a worked-example revised probability textbook improved more in probabilistic reasoning than students using the standard textbook — related
• Sense of mathematics belonging predicts algebra learning, even after controlling for prior knowledge and background factors — a broader claim this one bears on