ChatGPT-assisted students reported substantially lower ownership of their submitted code across self-attributed ownership, psychological ownership, and authorship attribution¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr2·q3·i3large
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.
q3 i3 AI-Assisted students self-attributed a lower percentage of the submitted code as their own (M=44.6 vs M=80.8, Hedges' g = 1.05). → Bergh 2026
q3 i3 AI-Assisted students scored lower on the Psychological Ownership Scale (M=2.92 vs M=4.30, Hedges' g = 1.11). → Bergh 2026 (2)
Evidence¶
Bergh 2026¶
Bergh, C., Tag, B., Vassar, A., & Renzella, J. (2026). Your Programming Students'Cognition with ChatGPT: Higher Performance, Lower Retention, and Reduced Ownership. https://arxiv.org/abs/2609.21194 doi:10.48550/arxiv.2609.21194
q3 · i3 · causal · r2
Post-task 100-point slider measure (adapted from Kosmyna et al.) of the percentage of submitted answers considered the participant's own, compared with Welch's t-test. The AI-Assisted condition was lower, with a large printed effect size Hedges' g = 1.05, surviving Holm correction.
"Self-attributed ownership (SAO), the percentage of submitted code that the participants considered their own, was lower in the AI- Assisted condition (𝑀= 44.6) than the No AI condition (𝑀= 80.8), 𝑡(50.5)=4.03,𝑝<.001,𝑝 Holm <.001,𝑔=1.05"
Bergh 2026 (2)¶
Bergh, C., Tag, B., Vassar, A., & Renzella, J. (2026). Your Programming Students'Cognition with ChatGPT: Higher Performance, Lower Retention, and Reduced Ownership. https://arxiv.org/abs/2609.21194. doi:10.48550/arxiv.2609.21194
q3 · i3 · causal · r2
Four-item Psychological Ownership Scale (Cronbach's alpha = 0.94) with the target adapted to the submitted code, compared with Welch's t-test. The AI-Assisted condition scored lower, with a large printed effect size Hedges' g = 1.11, surviving Holm correction.
"The final measure, Psychological Ownership Scale (POS), scores were also lower for the AI-Assisted condition (𝑀= 2.92) than the No AI condition (𝑀= 4.30),𝑡( 45.5)= 4.28,𝑝<. 001𝑝Holm <. 001, 𝑔=1.11)"
Discussion¶
Related Claims¶
- AI severs the correlation between artefact quality and cognitive engagement, breaking the artefact-as-proxy for learning — the general claim this finding bears on, with the studies behind it
- ChatGPT-assisted students scored substantially higher on the coding assessment than No AI students (89% vs 69%) — related
- AI support during drafting lowers ownership substantially more than support during planning or revision, and planning support preserves more ownership than revision support. — related
- Essay quality was highest for AI-generated drafts and lowest with no AI, negatively correlated with ownership, suggesting an ownership-quality tradeoff. — related
- Any AI writing support decreases feelings of ownership compared to no AI support, with ownership following a gradient by stage (highest with no AI, then planning, revision, and AI-generated draft lowest). — related
- Experimental-group students framed AI as a flexible writing scaffold supporting their own composing rather than a substitute for authorship — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
chatgpt-lower-code-ownership |
title |
ChatGPT-assisted students reported substantially lower ownership of their submitted code across self-attributed ownership, psychological ownership, and authorship attribution |
description |
ChatGPT-assisted students reported substantially lower ownership of their submitted code across self-attributed ownership, psychological ownership, and authorship attribution |
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 |
2 — bergh-2026, bergh-2026-2 |
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