The Tutoring Effectiveness Index (TEI) uses four signals from LLM conversations to select math tutoring responses, raising student improvement rates from 59.0% to 81.9% at N=8 on a frozen DeepSeek-R1-8B model without training or judges.
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Training-free prompt optimization methods, including five new education-focused ones, surpass the strongest RL-trained baseline across five conditions on two OOD suites while showing distinct teaching behavior patterns.
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The Tutoring Effectiveness Index: Predicting LLM Math Tutor Quality from Four Conversation Signals
The Tutoring Effectiveness Index (TEI) uses four signals from LLM conversations to select math tutoring responses, raising student improvement rates from 59.0% to 81.9% at N=8 on a frozen DeepSeek-R1-8B model without training or judges.
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LLMs Are Already Good Tutors: Training-Free Prompt Optimization for Pedagogical Math Tutoring
Training-free prompt optimization methods, including five new education-focused ones, surpass the strongest RL-trained baseline across five conditions on two OOD suites while showing distinct teaching behavior patterns.