Delayed cognitive load assessments after learning exceed the average of during-learning assessments only when complexity decreases across the learning material¶
Claim · All claims
Evidence · 1 study · causalr2·q3·i3large
Currency · newest study 2025 · 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.
q3 i3 In the decreasing complexity condition, the delayed ICL assessment after learning was significantly higher than the average of ICL assessments during learning (ηp² = 0.40). → Krieglstein 2025
q3 i? In the increasing complexity condition, the average ICL during learning did not differ from the delayed ICL after learning. → Krieglstein 2025
Evidence¶
Krieglstein 2025¶
Krieglstein, F., Beege, M., Wesenberg, L., Rey, G. D., & Schneider, S. (2025). The Distorting Influence of Primacy Effects on Reporting Cognitive Load in Learning Materials of Varying Complexity. Educational Psychology Review. https://doi.org/10.1007/s10648-024-09980-0
q3 · i3 · causal · r2
Mixed ANOVA in the main study (N=100, between-subjects complexity sequence) comparing average during-learning ICL with delayed post-learning ICL. The interaction was significant: "F(1, 98) = 19.01, p > 0.001, ηp2 = 0.16". In the decreasing condition the delayed assessment was significantly higher than the during-learning average (F(1, 46) = 30.32, ηp² = 0.40); in the increasing condition no significant time effect emerged (F(1, 52) = 0.50, p = 0.484).
"A mixed ANOVA revealed a significant interaction between ICL assessments and complexity sequence, F(1, 98) = 19.01, p > 0.001, ηp2 = 0.16."
Discussion¶
Related Claims¶
- Delayed post-learning assessments of ICL, ECL, and GCL do not differ between increasing and decreasing complexity sequences — related
- The first impression of complexity best predicts the overall post-learning cognitive load assessment, indicating a primacy effect in learning contexts — related
- The delayed-higher-than-immediate difference for cognitive load ratings replicates regardless of whether problem complexity increases or decreases across the sequence (Experiment 2) — reports the opposite
- A single delayed cognitive load rating after a problem sequence is significantly higher than the average of immediate ratings for both mental effort and perceived difficulty (Experiment 1) — a broader claim this one bears on
- Delayed cognitive load ratings appear to be based more on the more complex problems in the series than on a recency effect — related
- GCL ratings move opposite to the hypothesised pattern, decreasing in the increasing-complexity condition and increasing in the decreasing-complexity condition — related
- ICL ratings track the manipulated complexity sequence: increasing across units in the increasing condition and decreasing in the decreasing condition — related
- Delayed ratings of affective variables (interest and motivation) do not differ from the average of immediate ratings, unlike cognitive load ratings — related
- ECL ratings also follow the complexity sequence, rising in the increasing condition and falling in the decreasing condition, though ECL was not manipulated — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
delayed-icl-exceeds-average-only-decreasing-complexity |
title |
Delayed cognitive load assessments after learning exceed the average of during-learning assessments only when complexity decreases across the learning material |
description |
Delayed cognitive load assessments after learning exceed the average of during-learning assessments only when complexity decreases across the learning material |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-20 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — krieglstein-2025 |
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