Transfer of a permutation algorithm succeeds for objects-assigned-to-people problems but fails for people-assigned-to-objects problems¶

Claim · All claims
Evidence · 1 study · theoretical r3 · q2
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? After training on an objects-to-people assignment problem, participants transferred the solution successfully to other objects-to-people problems (89%) but not to people-to-objects problems (0%), because world knowledge about assignment roles shaped the interpreted structure. → Hippolyte Gros 2020

Evidence¶

Hippolyte Gros 2020¶

Hippolyte Gros, Jean-Pierre Thibaut, Emmanuel Sander. (2020). Semantic Congruence in Arithmetic: A New Conceptual Model for Word Problem Solving. Educational Psychologist. https://doi.org/10.1080/00461520.2019.1691004

q2 · i? · theoretical · r3

The article reports, citing Bassok et al. (1995), a transfer experiment in which participants received a short lesson and a training problem with its solving equation before solving a transfer problem using the same algorithm. Success was "89% of success" for O→P transfer versus 0% for P→O transfer; no effect size is printed.

"participants who were first trained on a problem involving an assignment of objects to people (O→P) had a dramatically higher success rate when they transferred the solution to other O→P problems (89% of success) than those who had to transfer the solution to “people assigned to objects” (P→O) problems (0% of success)."

Discussion¶

Related Claims¶

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