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Simulating student learning for better AI tutoring

Microsoft Researchen

1mes

Antigüedad

Publicado
Recolectado

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research .

Extracto de la fuente

At a glance StudentSim is a research system for evaluating and improving AI tutors before they are tested with real learners; it is not a product, is not deployed in classrooms, and is not intended to replace teachers AI tutoring tools need feedback from students to improve, but collecting that feedback through human studies is slow, costly, and difficult to scale StudentSim trains personalized AI student simulators from publicly available, de-identified learner records, with one simulator…

overfeed.news indexa y enlaza. Publicamos un extracto breve; el artículo completo sigue en Microsoft Research.

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Simulating student learning for better AI tutoring —…