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Nina Low
Making AI Tutoring Productive: Evidence from a Mastery-Based Math Practice Experiment
Topics: Student LearningLarge language models (LLMs) can make tutoring more scalable, but only if students use them to reason through mistakes rather than avoid effort. We study this question in a randomized field experiment with more than 6,000 middle-school students in Hamilton County Schools using NUMI, a research-… more →
Virtual Tutoring with Computer-Assisted Learning: An Experiment in Take-Up and Learning
Topics: Student LearningWe explore the efficacy of an online after-school tutoring program that complements teacher-provided computer-assisted learning practice. The aim is to scaffold students struggling with online Khan Academy practice at school with low-cost, one-on-one virtual supervision for about an hour a week… more →
One Click Away: AI Tutoring with Khanmigo in a Two-Year School Experiment
Topics: Student LearningGenerative AI has been promoted as the technology that could transform education by providing every student a personal tutor. We provide some of the first large-scale experimental evidence, from a two-year cluster randomized trial in 18 Tennessee middle schools in which randomly assigned… more →