Instruction before exploration yields immediate MVC-strategy advantages in the first exploration task, driven by shorter exploration time¶

Claim · All claims
Evidence · 1 study · causal r2 · q3 · i3 large
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i3 In Task 1, the two conditions differed significantly on the four MVC-strategy components, with a large effect size, driven by Instruction-first students spending significantly less time exploring. → Saba 2025

Evidence¶

Saba 2025¶

Saba, J., Kapur, M., & Roll, I. (2025). Learning about multivariable causality with interactive simulations: exploration before instruction may hurt immediate gains but benefits transfer. Instructional Science, 53, 1603–1632. https://doi.org/10.1007/s11251-025-09726-7

q3 · i3 · causal · r2

MANCOVA on Task 1 log files comparing Exploration-first (n = 35) and Instruction-first (n = 36), with virus-spread pretest as covariate, showed "a significant difference between conditions" with ηp2 = 0.236; the covariate effect was not significant.

"There was a significant difference between conditions: F(1,69) = 5.03, p = 0.001, ηp2 = 0.236 with a large effect size. There was no significant effect of the covariate F(1,69) = 0.279, p = 0.890, ηp2 = 0.017."

Discussion¶

Learner Variables¶

• Time and Continuity — outcome: instruction changes it

Related Claims¶

• Exploration-first students transfer MVC-strategy Efficiency better, with condition-by-Task-2 interactions for Efficiency and Quality — related
• No significant condition differences remain at posttest: both approaches converge on MVC strategy and reasoning after both phases — related
• Exploration-first students show more advanced MVC reasoning on the transfer task than Instruction-first students — related
• Productive Failure Improves Conceptual Learning — related
• PS-I with a virus transmission simulation showed better transfer of multivariable causality to a new context, despite similar end-of-intervention performance to I-PS — related
• In a computer learning environment for electricity, the benefit of exploratory simulation time depended on instructional treatment (rule induction vs. rule application) — related