AI scoring of training and real-life transcripts from 86 tutors shows training performance predicts real tutoring quality with 0.25 SD effect size using mixed-effects models.
arXiv preprint arXiv:2405.00291 (2024)
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Differentiated proactive-reactive human-AI tutoring yields 25% more time on task, 36% higher skill proficiency, and 61% greater academic growth than AI-only tutoring, with proactive support showing marginal extra benefit for lower performers.
citing papers explorer
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AI-Driven Assessment of Human Tutors: Linking Training Performance to Real-Life Practice
AI scoring of training and real-life transcripts from 86 tutors shows training performance predicts real tutoring quality with 0.25 SD effect size using mixed-effects models.
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Improving Hybrid Human-AI Tutoring by Differentiating Human Tutor Roles Based on Student Needs
Differentiated proactive-reactive human-AI tutoring yields 25% more time on task, 36% higher skill proficiency, and 61% greater academic growth than AI-only tutoring, with proactive support showing marginal extra benefit for lower performers.