Claims

Learning-process and psychological constructs correlate only weakly with aggregate final artistic performance

Claim · All claims
Evidence · 1 study · associational r2 · q2 · i0 negligible
Currency · newest study 2026 · 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 i0 Perceived support (r = 0.06), creative experience (r = −0.04), skill transfer (r = 0.03), and quality confidence (r = 0.02) showed negligible correlations with final total score. → Shen 2026

Evidence

Shen 2026

Shen, N., Lee, L. S., and He, A. (2026). Generative AI in creative education: baseline-linked evidence on learning processes, artistic performance, and authorship. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2026.1956939

q2 · i0 · associational · r2

Correlational analysis of the 133-case linked dataset (Figure 2) shows the learning-process and psychological variables were only weakly related to final total, with printed correlations all below |r| = .10. The article states these constructs "showed little overlap withaggregatefinalperformance."

"support (r = 0.06), creative experience (r =− 0.04), skill transfer (r = 0.03), and quality confidence (r = 0.02) showed little overlap withaggregatefinalperformance."

Discussion

Page metadata
Field Value
type claim
id process-constructs-weakly-correlated-final-performance
title Learning-process and psychological constructs correlate only weakly with aggregate final artistic performance
description Learning-process and psychological constructs correlate only weakly with aggregate final artistic performance
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — shen-2026

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