An effort-based reward did not significantly reduce answer offloading or improve unaided performance¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr3·q3
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 2 of 2 entries) · 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? The reward's association with lower odds of answer offloading was not significant (OR = 0.66, p = .139). → Sebastian Maier 2026
q3 i? Participants who received the reward did not have higher odds of answering an unaided final test item correctly (OR = 0.76, p = .890). → Sebastian Maier 2026 (2)
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 item-level mixed-effects logistic regression (H3a) in the preregistered experiment, testing the effort-based reward main effect on answer offloading. The article reports the effect was "not significant" with OR = 0.66, 95% CI [0.31, 1.40], p = .139; no effect size beyond the OR is printed.
"The reward was associated with lower odds of answer offloading, but this effect was not significant (𝑏=− 0.42, SE= 0.39,𝑂𝑅= 0.66, 95% CI[0.31, 1.40],𝑧=− 1.08,𝑝=. 139)"
Sebastian Maier 2026 (2)¶
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
q3 · i? · causal · r3
Confirmatory test of H3b on unaided final-test performance in the same experiment. The article reports participants "did not have higher odds of answering an unaided final test item correctly" with OR = 0.76, 95% CI [0.50, 1.18], p = .890; equivalence was not tested.
"Participants who received the reward also did not have higher odds of answering an unaided final test item correctly (𝑏=− 0.27, SE= 0.22,𝑂𝑅= 0.76, 95% CI[0.50, 1.18],𝑧=− 1.23,𝑝=. 890)"
Discussion¶
Related Claims¶
- Feedback interventions show phase-specific effects: advice feedback reduces reminder bias, but ranking feedback alters beliefs without increasing offloading — the general claim this finding bears on, with the studies behind it
- Greater answer offloading during learning is associated with lower subsequent unaided performance (exploratory) — related
- Access to an LLM assistant during practice did not significantly lower subsequent unaided test performance — related
- The effort-based reward reduced how often participants used the assistant, whereas metacognitive feedback changed how they used it — related
- Unstructured LLM use risks cognitive offloading that displaces effortful thought and weakens argument construction — related
- Higher-value intentions are more likely to be offloaded than lower-value ones — related
- In one preregistered experiment, metacognitive feedback on learners' own LLM use lowered the odds of answer offloading and raised the odds of a correct unaided answer on one-sided tests, with 95% intervals reaching no effect — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
effort-based-reward-no-effect-offloading-or-unaided-performance |
title |
An effort-based reward did not significantly reduce answer offloading or improve unaided performance |
description |
An effort-based reward did not significantly reduce answer offloading or improve unaided performance |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — sebastian-maier-2026, sebastian-maier-2026-2 |
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