Bandit Assignment for Educational Experiments: Benefits to Students Versus Statistical Power.

AIED, pp. 286-290, 2018.

Cited by: 1|Views5
EI

Abstract:

Randomized experiments can lead to improvements in educational technologies, but often require many students to experience conditions associated with inferior learning outcomes. Multi-armed bandit (MAB) algorithms can address this by modifying experimental designs to direct more students to more helpful conditions. Using simulations and m...More

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