Claims

Ambient consumer AI use in the holdout did not close the structured-tutor gap

Claim · All claims
Evidence · 1 study · causal r2 · 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? Holdout students used consumer AI freely (21–42% in any given week), yet the tutor's randomized advantage held, and removing ambient-AI users from the control group left the estimate essentially unchanged. → Shihao Yang 2026

Evidence

Shihao Yang 2026

Shihao Yang, Marshall Van Alstyne, and Chrysanthos Dellarocas. (2026). When AI Tutors Speak: Evidence from a Randomized Field Experiment. https://arxiv.org/abs/2609.23958 doi:10.48550/arxiv.2609.23958

q3 · i? · causal · r2

Weekly holdout check-in surveys measured consumer-AI tool use (ChatGPT, Gemini, Claude, and similar) as a manipulation check and preregistered contamination covariate, defining the estimand as the tutor's marginal value over a realistic self-study environment.

"Holdout students used consumer AI freely throughout the study (21–42% in any given week), yet the tutor's random-ized advantage holds over that realistic environment, and removing ambient-AI users from the control group leaves the estimate essentially unchanged."

Discussion

Page metadata
Field Value
type claim
id ambient-consumer-ai-did-not-close-tutor-gap
title Ambient consumer AI use in the holdout did not close the structured-tutor gap
description Ambient consumer AI use in the holdout did not close the structured-tutor gap
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 1 — shihao-yang-2026

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