Students expect AI to help their test scores, but control students overestimate the effect relative to the experimental estimate¶
Claim · All claims
Evidence · 1 study · causalr3·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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q2 i? Both treated and control students expect positive effects of AI access on test scores, but only the treated group's prediction comes close to the estimated effect; the control group overestimates it. → Zara Contractor and Germán Reyes 2026
Evidence¶
Zara Contractor and Germán Reyes 2026¶
Zara Contractor and Germán Reyes. (2026). Experimental Evidence on the Learning Impact of Generative AI. https://arxiv.org/abs/2607.08849 doi:10.48550/arxiv.2607.08849
q2 · i? · causal · r3
Belief elicitation from the Session Two exit survey of the randomized experiment, in which students estimated how much AI access changed (or would have changed) their test scores. Open-ended accounts were coded as causal graphs from AI use to learning, with most students naming both a helping and a harming channel.
"Both treated and control students expect positive effects, but only the treated group’s prediction comes close to our estimate; the control group overestimates it."
Discussion¶
Related Claims¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
genai-student-beliefs-overestimate-control |
title |
Students expect AI to help their test scores, but control students overestimate the effect relative to the experimental estimate |
description |
Students expect AI to help their test scores, but control students overestimate the effect relative to the experimental estimate |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — zara-contractor-and-germán-reyes-2026 |
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