Voice and text tutoring produced statistically equivalent weekly mastery within students, while voice transformed the interaction at a 2.8× cost premium¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr2·q2–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? Within-student week-level mastery was statistically equivalent between voice and text modalities, with equivalence bounds reported so the null reads as affirmative evidence of equivalence. → Shihao Yang 2026
q2 i? Voice's process transformation carried a 2.8× delivery-cost premium, so programs can buy engagement with voice or equivalent measured weekly mastery with text at a third of the cost. → Shihao Yang 2026 (2)
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
Within-student weekly alternation analysis (student and week fixed effects, clustered standard errors) among AI-arm students; the design offsets noisy three-item subscores with 145 student-weeks and reports equivalence bounds alongside point estimates.
"Week-level mastery is statistically equivalent betweenmodalities,whiletheinteractionitselfchangessubstantially(roughlytwice the dialogue turns per minute and 2.4×the question-asking on equal engaged time)."
Shihao Yang 2026 (2)¶
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
q2 · i? · causal · r2
Conversation-level cost accounting from provider billing over the study's 256 tutor conversations and 1,880 metered voice minutes, pricing the voice-versus-text configuration choice for program deployment.
"Voice's process transformation carries a 2.8×cost premium, so programs can buy engagement with voice, or equivalent measured weekly mastery with text at a third of the cost."
Discussion¶
Related Claims¶
- Voice modality roughly doubled dialogue turns and question-asking on equal engaged time within the same students — related
- Perceived task load and germane load did not differ between the contingent tutor and either baseline — related
- The talking head contributes little to AutoTutor's learning gains; the content of the conversation matters — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
voice-text-mastery-equivalent-interaction-transformed |
title |
Voice and text tutoring produced statistically equivalent weekly mastery within students, while voice transformed the interaction at a 2.8× cost premium |
description |
Voice and text tutoring produced statistically equivalent weekly mastery within students, while voice transformed the interaction at a 2.8× cost premium |
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 — shihao-yang-2026, shihao-yang-2026-2 |
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