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Physics Tutor is an AI agent designed to teach physics through first principles reasoning, using Socratic guidance and adaptive techniques to improve understanding and address misconceptions.
This study compares two LLM-based tutoring approaches (Socratic guidance vs prompt refinement) for programming education, finding that Socratic guidance fosters better learning outcomes and more understanding-driven prompting strategies when students later use unconstrained LLMs.
SocraticPO augments RL rollouts with Socratic-style natural language guidance and reward decay to improve scientific reasoning in LLMs, outperforming strong baselines on SciKnowEval benchmarks.