Claims

Children's age, general intelligence, and divergent thinking positively predicted tool innovation performance, while executive function measures predicted only ideal manipulation

Claim · All claims
Evidence · 1 study (2 entries) · associational r1 · q3
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 i? Age, general intelligence, and divergent thinking all significantly and positively predicted both task success and ideal manipulation. → Guo 2025 q3 i? No EF measure significantly predicted task success, but inhibition (positive) and cognitive flexibility (negative) significantly predicted ideal manipulation. → Guo 2025 (2)

Evidence

Guo 2025

Guo, J.; Bai, H.; Long, X.; Su, X.; Pang, W. (2025). The process of tool innovation in young children: An attempt to bridge the Gestalt and the perception-action theories. Learning and Instruction, 99, article 102182. https://doi.org/10.1016/j.learninstruc.2025.102182

q3 · i? · design · r2

Multiple linear regressions (N = 139) using CFA factor scores as outcomes; the authors report age, PPVT-R general intelligence, and TCAM divergent thinking were significant positive predictors of both performance measures.

"children's age and their measures of general intelligence and divergent thinking all significantly and positively predicted both children's task success and ideal manipulation."

Guo 2025 (2)

Guo, J.; Bai, H.; Long, X.; Su, X.; Pang, W. (2025). The process of tool innovation in young children: An attempt to bridge the Gestalt and the perception-action theories. Learning and Instruction, 99, article 102182. https://doi.org/10.1016/j.learninstruc.2025.102182

q3 · i? · associational · r1

In the same regressions, Simon Says inhibition positively and DCCS cognitive flexibility negatively predicted ideal manipulation, while no EF measure predicted task success; the success–ideal manipulation factor correlation was 0.88 (p < 0.001).

"None of children's EF measures were a significant predictor of their task success; however, the EF measures of inhibition and cognitive flexibility were significant predictors of ideal manipulation, with positive and negative effects, respectively."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id age-intelligence-divergent-thinking-predict-tool-innovation
title Children's age, general intelligence, and divergent thinking positively predicted tool innovation performance, while executive function measures predicted only ideal manipulation
description Children's age, general intelligence, and divergent thinking positively predicted tool innovation performance, while executive function measures predicted only ideal manipulation
status review
evidence_strength moderate
newest_evidence 2025
generated by process:wiki-ingest on 2026-10-23
trust unverified — no one has confirmed this page's content
sources 2 — guo-2025, guo-2025-2

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