Claims

Access to an LLM assistant during practice did not significantly lower subsequent unaided test performance

Claim · All claims
Evidence · 1 study · causal r3 · q3
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 i? AI-only participants did not have significantly lower odds of answering a final test item correctly than control participants (OR = 0.80, p = .244). → Sebastian Maier 2026

Evidence

Sebastian Maier 2026

Sebastian Maier, Kai Schwabe, Manuel Schneider, and Stefan Feuerriegel. (2026). Designing Against Deskilling: Metacognitive Feedback Reduces Cognitive Offloading to LLM Assistants. arXiv. https://arxiv.org/abs/2609.20143 doi:10.48550/arxiv.2609.20143

q3 · i? · causal · r3

Confirmatory test of H1 comparing the AI-only condition (M = 0.62, SD = 0.34) with the no-AI control (M = 0.65, SD = 0.32) on the six unaided test items, using item-level mixed-effects logistic regression. The article reports no significant difference; equivalence was not tested.

"AI-only participants did not have significantly lower odds of answering a final test item correctly than control participants (𝑏=− 0.22,𝑆𝐸= 0.32,𝑂𝑅= 0.80, 95% CI[0.42, 1.51],𝑧=− 0.69,𝑝=. 244)"

Discussion

Page metadata
Field Value
type claim
id llm-access-no-significant-lower-unaided-performance
title Access to an LLM assistant during practice did not significantly lower subsequent unaided test performance
description Access to an LLM assistant during practice did not significantly lower subsequent unaided test performance
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — sebastian-maier-2026

Frontmatter is the page's machine-readable record — see the Schema & Guide.