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TOPIC · ENTITY #11744

no-direct-answer prompt

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RESEARCH · 1 SOURCE · arXiv cs.AI

Study analyzes how a guided LLM chemistry tutor resolves student impasses

Using 20,462 student turns from 1,260 real sessions with a guided LLM chemistry tutor, the paper (arXiv:2609.38346v1) identifies 6,630 impasse turns (conceptual errors, expressed uncertainty, help-seeking) and simulates three prompt conditions (baseline, no-direct-answer, guided tutor). Key findings: the baseline tutor gave direct answers in 50.7% of sampled impasses, the no-direct-answer condition always asked follow-ups, and the guided tutor varied by context; each additional impasse turn reduced next-turn recovery odds by 12.7%, scripted questioning lost effectiveness as depth grew while directly addressing errors became more beneficial, and these turn-level signals could enable graduated, state-sensitive real-time assistance.

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