Generative AI, including Language Models (LMs), holds the promise to reshape key sectors like education, healthcare, and law, which rely heavily on skilled professionals to navigate complex responsibilities. In education, for instance, effective teacher training with expert feedback is crucial yet costly, limiting opportunities to enhance educational quality on a larger scale.
In a new paper Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise, a Stanford University research team presents Tutor CoPilot, a new model that offers expert-level guidance to tutors in real time. This study is the first of its kind—a randomized controlled trial testing a Human-AI system in live tutoring scenarios.
Tutor CoPilot aims to enhance K-12 education by providing immediate, actionable guidance to tutors, ultimately improving the live learning experience for students.
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