Direct student requests for answers significantly increased the AI's provision of direct answers (26.1% vs. 12.5% baseline; r = 0.14), though the AI maintained scaffolding in most cases¶
Claim · All claims
Evidence · 1 study · associationalr2·q2·i1small
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
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 i1 When students directly requested answers, the likelihood of the AI providing a direct answer rose 13.6 percentage points (26.1% vs. 12.5%; r = 0.14, p<.001). → Alex Liu 2026
Evidence¶
Alex Liu 2026¶
Alex Liu, Min Sun, Lief Esbenshade, Victor Tian, Zachary Zhang, and Kevin He. (2026). Teacher-Authored Prompts for Configuring StudentAI Dialogue: K12 Classroom Implementation. https://arxiv.org/abs/2604.16738 doi:10.48550/arxiv.2604.16738
q2 · i1 · associational · r2
Analysis of AI behavioral adherence under explicit student pressure (e.g., requests to just tell the answer or rewrite work). The article reports r = 0.14, p<.001, a small printed correlation, and notes the AI maintained scaffolded interaction in the majority of cases.
"the likelihood of the AI providing a direct answer increased significantly (26.1% vs. 12.5% baseline;r= 0.14,p<.001), representing a 13.6 percentage point rise."
Discussion¶
Related Claims¶
- Explicit no-direct-answers guardrails in teacher prompts reduced the AI's final-answer provision rate by 8.5 percentage points (16.2% to 7.7%) — related
- LLM scaffolding level is associated with the student's next dialogue act, and the association persists within broad request categories — related
- Within a single LLM session, students' help-seeking shifts toward answer- and verification-seeking while explicit self-regulation modestly increases — related
- Learning-oriented intentions did not significantly predict enacted in-chat behavior; only selecting final solutions predicted executive and answer-seeking requests — related
- Llama Guard models misclassify subtle, context-dependent unsafe education prompts (e.g., exam-answer and cheating requests) as safe — related
- The chatbot often provided more scaffold types than requested, and supplying classified question scope to the chatbot raised scaffold precision above .60 — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
student-pressure-shifts-ai-toward-answers |
title |
Direct student requests for answers significantly increased the AI's provision of direct answers (26.1% vs. 12.5% baseline; r = 0.14), though the AI maintained scaffolding in most cases |
description |
Direct student requests for answers significantly increased the AI's provision of direct answers (26.1% vs. |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — alex-liu-2026 |
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