Problem isomorphs with identical structure differ greatly in difficulty; Monster Change took 16 times as long to solve as the standard problem¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr?·q2
Currency · newest study 1991 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Tower of Hanoi isomorphs with the same structure differ in solution difficulty, with rules that are harder to learn and apply producing much longer solution times. → Ahmad Tarmizi 1991
q2 i? Isomorphs with readily encoded rules imposed less working-memory load, and intensive rule training decreased problem difficulty via rule automation. → Ahmad Tarmizi 1991 (2)
Evidence¶
Ahmad Tarmizi 1991¶
Ahmad Tarmizi, Rohani. (1991). Guidance During Mathematical Problem Solving. Doctoral thesis, University of New South Wales. http://hdl.handle.net/1959.4/69310
q2 · i? · causal · r?
The thesis reports, citing Kotovsky, Hayes and Simon's series of experiments on Tower of Hanoi isomorphs, the printed solution-time ratios across isomorphs. The review attributes the difficulty differences to learning and applying rule operators. No effect size is printed.
"Taking this problem as a standard, it took 16 times as long to solve a Monster Change problem, 8 times as long for the Monster Move problem, 5 times as long for the Reverse-Acrobat problem and 3 times as long for the Acrobat problem."
Ahmad Tarmizi 1991 (2)¶
Ahmad Tarmizi, Rohani. (1991). Guidance During Mathematical Problem Solving. Doctoral thesis, University of New South Wales. http://hdl.handle.net/1959.4/69310
q2 · i? · causal · r?
The thesis reports, citing Kotovsky et al., that isomorphs with readily encoded rules required less working-memory load and that "intensive training on the.rules decreases the difficulty of the problems", explained as rule automation. No effect size is printed.
"They also found that intensive training on the.rules decreases the difficulty of the problems. Kotovsky et al. explained this result to be due to rule automation."
Discussion¶
Related Claims¶
- Desirable difficulty: harder-to-learn conditions yield enhanced long-term retention — related
- Material difficulty is not determined solely by element number and interactivity — a broader claim this one bears on
- Facet difficulty and intercorrelation patterns: analyzing givens was easiest, evaluating progress hardest, and planning correlated 0.98 with the overall estimate — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
isomorph-difficulty-rule-learning-working-memory |
title |
Problem isomorphs with identical structure differ greatly in difficulty; Monster Change took 16 times as long to solve as the standard problem |
description |
Problem isomorphs with identical structure differ greatly in difficulty; Monster Change took 16 times as long to solve as the standard problem |
status |
review |
evidence_strength |
weak |
newest_evidence |
1991 |
generated |
by process:wiki-ingest on 2026-10-16 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — ahmad-tarmizi-1991, ahmad-tarmizi-1991-2 |
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