Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure

Challenge:	Recent studies have shown that LLMs are not able to provide one-to-one tutoring solutions because of their high cost and efficiency.
Approach:	They propose an algorithm to optimize LLM prompts and steer it to follow a predefined multi-turn tutoring plan represented as a transition graph.
Outcome:	The proposed algorithm is able to optimize LLM prompts and steer it to follow a predefined multi-turn tutoring plan represented as a transition graph.

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