AI Research
Mitigating Scaffolding Collapse in Socratic Tutors via Representation Alignment
New alignment framework prevents Socratic AI tutors from revealing answers under student pressure
Large language model (LLM)-based Socratic tutors increasingly guide students through multi-turn questioning, but they can suffer from scaffolding collapse: under sustained student pressure, a tutor gradually abandons guided inquiry and reveals solutions directly. Prior defenses p...
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ArXiv CS.AI
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ArXiv CS.AI
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This research addresses the critical challenge of pedagogical drift in AI tutors by focusing on latent representation stability rather than surface-level output constraints. By anchoring hidden states, it ensures long-term educational efficacy despite aggressive user attempts to force direct solution disclosure.
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