Claims

Direction is observable in nearly all AI-mediated conversations, while Integration and Evaluation become progressively more observable as conversation length increases

Claim · All claims
Evidence · 1 study (2 entries) · associational r1 · q2
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.

q2 i? Direction is visible in 146 of 150 sampled conversations (97.3%) and in every conversation with at least five student turns. → Jorge Fábrega 2026 q2 i? Integration and Evaluation rise from 37.3% and 46.0% in the full sample to 90.5% and 90.5% among conversations with at least 15 student turns. → Jorge Fábrega 2026 (2)

Evidence

Jorge Fábrega 2026

Jorge Fábrega. (2026). Same Performance, Different Process: Epistemic Ownership in AI-Mediated Education. Preprint. https://arxiv.org/abs/2610.02731 doi:10.48550/arxiv.2610.02731

q2 · i? · associational · r1

Application of the coding protocol to the 150-conversation StudyChat sample, stratified by semester, assignment, and conversation length. The descriptive distribution shows "Direction is visible in 146 of the 150 sampled conversations (97.3%)". No effect size is printed.

"Direction is visible in 146 of the 150 sampled conversations (97.3%). Once the trace contains at least five student turns, Direction is present in every conversation in the current sample."

Jorge Fábrega 2026 (2)

Jorge Fábrega. (2026). Same Performance, Different Process: Epistemic Ownership in AI-Mediated Education. Preprint. https://arxiv.org/abs/2610.02731

q2 · i? · associational · r1

Descriptive percentages across minimum-turn thresholds in the same 150-conversation sample, reported in Table 2. Integration and Evaluation rise from "37.3% and 46.0%, respectively, in the full sample to 90.5% and 90.5%" at 15 or more turns. No effect size is printed.

"Both become progressively more observable as conversation length increases, rising from 37.3% and 46.0%, respectively, in the full sample to 90.5% and 90.5% among conversations with at least 15 student turns."

Discussion

Page metadata
Field Value
type claim
id direction-nearly-universal-integration-evaluation-rise-with-length
title Direction is observable in nearly all AI-mediated conversations, while Integration and Evaluation become progressively more observable as conversation length increases
description Direction is observable in nearly all AI-mediated conversations, while Integration and Evaluation become progressively more observable as conversation length increases
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 — jorge-fábrega-2026, jorge-fábrega-2026-2

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