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Table 1 Summary of results comparing High-Mechanistic and Low-Mechanistic participants defined by Original Condition, Mechanistic Assessment, and Matched Original Condition and Mechanistic Assessment

From: Applying math onto mechanisms: mechanistic knowledge is associated with the use of formal mathematical strategies

Task

Original Condition (N = 50)

Mechanistic Assessment (N = 50)

Matched (N = 29)

Navigation strategy

High = Low

High > Low

High > Low

MRMQ

High = Low

High > Low

High > Low

Memory drawings

Wheels: High = Low

Motors: High > Low

Screens: High = Low

Wheels: High = Low

Motors: High = Low

Screens: High = Low

Wheels: High = Low

Motors: High > Low

Screens: High = Low

Significant predictors of strategy

MRMQ: β = 0.37

Mastery goals: β = −0.45

Group: β = 0.35

(Forward) Group: β = 0.61

(Backward) Group: β = 0.69

Mastery goals: β = −0.42

Performance goals: β = 0.48

  1. MRMQ Math in Robot Motion Questionnaire