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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