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Generative AI for Education (GAIED): Advances, Opportunities, and Challenges
This survey article has grown out of the GAIED (pronounced "guide") workshop organized by the authors at the NeurIPS 2023 conference.
Using Auxiliary Data to Boost Precision in the Analysis of A/B Tests on an Online Educational Platform: New Data and New Results
With minimal assumptions, they allow causal effect estimation without confounding bias and exact statistical inference even in small samples.
Reinforcement Learning for Education: Opportunities and Challenges
This survey article has grown out of the RL4ED workshop organized by the authors at the Educational Data Mining (EDM) 2021 conference.
The Utility of Clustering in Prediction Tasks
Previous work has hinted at the improvement in prediction accuracy attributed to clustering algorithms if used to pre-process the data.
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