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20242026
most citedPredicting Long-Term Student Outcomes from Short-Term EdTech Log Data

5 citations · 5 across the 5 of their papers we have counts for

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cs.LG2025

PERRY: Policy Evaluation with Confidence Intervals using Auxiliary Data

Aishwarya Mandyam, Jason Meng, Ge Gao +4

Off-policy evaluation (OPE) methods estimate the value of a new reinforcement learning (RL) policy prior to deployment. Recent advances have shown that leveraging auxiliary dataset…

cs.CY2025★ 5 cited

Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data

Ge Gao, Amelia Leon, Andrea Jetten +4

Educational stakeholders are often particularly interested in sparse, delayed student outcomes, like end-of-year statewide exams. The rare occurrence of such assessments makes it h…