AI-assisted performance during skill-building does not transfer to subsequent unassisted performance¶
Claim · All claims
Evidence · 1 study · theoreticalr3·q3
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · 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? Experimental evidence shows participants performed significantly better with AI assistance during the access period, but this advantage did not carry over to later unassisted assessment; the article treats this dissociation as empirically established. → Lovett 2026
Evidence¶
Lovett 2026¶
Lovett, N. (2026). The tragedy of the cognitive commons: How AI could disrupt the regeneration of professional expertise. Human Resource Development Review. Advance online publication. https://doi.org/10.1177/15344843261470602
q3 · i? · theoretical · r3
The article cites Wiles et al.'s (2024) experimental evidence on AI assistance during a skill-building task. Assisted performance gains did not transfer to unassisted contexts; a companion citation reports no significant advantage on unassisted assessment after AI-assisted training. No effect size is printed.
"when AI assistance was provided during a skill-building task, participants performed significantly better during the access period, but this performance advantage did not transfer to subsequent unassisted performance"
Discussion¶
Related Claims¶
- Reviews citing one randomised trial (Bastani et al. 2025) report that unrestricted GPT-4 access in high-school mathematics raised assisted practice performance but left students worse off after withdrawal — related
- Persistence and performance costs concentrate among participants who used the AI to obtain direct solutions, while hint-users resemble controls — a narrower finding that bears on this claim
- Immediate task success does not establish learning that persists without AI support — a broader claim this one bears on
- Falsifiable hypothesis: unrestricted AI use on deep-processing tasks will produce a product–process dissociation—higher-rated assignments but lower unaided delayed transfer — related
- Greater answer offloading during learning is associated with lower subsequent unaided performance (exploratory) — related
- AI access raises immediate unaided test scores by 7.2 percentage points (0.28 SD) after a timed learning phase — reports the opposite
- Free ChatGPT use boosts originality on the assisted creative task but the advantage disappears when assistance is removed — a narrower finding that bears on this claim
- Access to an LLM assistant during practice did not significantly lower subsequent unaided test performance — reports the opposite
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-assisted-performance-no-unassisted-transfer |
title |
AI-assisted performance during skill-building does not transfer to subsequent unassisted performance |
description |
AI-assisted performance during skill-building does not transfer to subsequent unassisted performance |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — lovett-2026 |
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