Auditing the Reliability of Automated Risk Evaluators in Agentic Tutoring Systems Under Pedagogical Style Variations
Agentic tutoring systems increasingly rely on large language models (LLMs) to generate real-time feedback, yet risky outputs, such as answer leakage, contradiction, and hallucination, can directly affect learning. Answer leakage is a central concern in this setting. It exposes problem solutions to students and can be v...