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The learner who does not learn: when optimizing a pedagogical metric degrades LLM tutoring

Figaredo, Daniel Domínguez et al.
arXiv (All) · Papers
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68t0568t50computers-and-societyi-2-6i-2-7
It is assumed that a natural way to improve the pedagogical quality of large language model tutors is to define a metric of instructional performance and fine-tune the model against it. To test this strategy, we designed a metric of pedagogical adaptivity that scores each instructional decision in a
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