Next-turn recovery from impasses declines steadily as impasse depth increases, with help-seeking impasses declining most sharply¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr2·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? Each additional impasse turn lowered the odds of next-turn recovery by about 13% (AOR = 0.87, 95% CI [0.81, 0.94], p<.001), and raw recovery fell from 39.7% at onset to 18.8% at depth 6 or more. → Ahtisham 2026
Evidence¶
Ahtisham 2026¶
Ahtisham, B., Vanacore, K., Napoli, A., Arens, J., Ionova, K., Cohn, C., Salehi, S., & Kizilcec, R. (2026). Examining Variation in How Guided AI Tutors Resolve Student Impasses. arXiv. https://arxiv.org/abs/2609.38346 doi:10.48550/arxiv.2609.38346
q3 · i? · associational · r2
Descriptive next-turn recovery rates by depth from 6,630 impasse turns, with 95% CIs from a session-level cluster bootstrap (Figure 1). A multivariable logistic model on N=6,163 turns found "each additional turn at an impasse was associated with 13% lower odds of recovery (AOR = 0.87, 95% CI [0.81, 0.94], p<.001)". No standardized effect size beyond the odds ratio is printed.
"Across all impasse types, next-turn recovery fell steadily as impasses persisted, from 39.7% at onset to 32.6% at depth 2, 26.2% at depth 3, and 18.8% at depth 6 or more, less than half the onset rate"
Ahtisham 2026 (2)¶
Ahtisham, B., Vanacore, K., Napoli, A., Arens, J., Ionova, K., Cohn, C., Salehi, S., & Kizilcec, R. (2026). Examining Variation in How Guided AI Tutors Resolve Student Impasses. arXiv. https://arxiv.org/abs/2609.38346. doi:10.48550/arxiv.2609.38346
q3 · i? · associational · r2
Type-specific recovery trajectories from the same corpus show help-seeking impasses were most recoverable at onset but declined most sharply, while uncertainty remained comparatively recoverable through depth 4 (33.3% at depth 4).
"Help-seeking was initially the most recoverable state (47.0% at onset) but declined most sharply once initial assistance had failed (25.3% at depth 3; 12.5% at depth≥6)."
Discussion¶
Related Claims¶
- Student impasses in LLM chemistry tutoring concentrate in the relevant-concepts planning phase, and impasse type depends strongly on problem-solving practice — related
- Prompt specificity changes AI tutor pedagogy: a no-direct-answer guardrail alone produces uniform questioning, while a detailed guided protocol produces varied, impasse-sensitive responses — related
- The association between tutor questioning and impasse recovery decays as impasses persist, while addressing the student's error becomes more beneficial — related
- After a failed scripted question, repeating it is followed by lower recovery than switching to addressing the student's error — related
- Early dropouts are trapped in recursive concept-elicitation loops before reaching problem execution — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
recovery-declines-with-impasse-depth |
title |
Next-turn recovery from impasses declines steadily as impasse depth increases, with help-seeking impasses declining most sharply |
description |
Next-turn recovery from impasses declines steadily as impasse depth increases, with help-seeking impasses declining most sharply |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — ahtisham-2026, ahtisham-2026-2 |
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