45 citations · 94 across the 12 of their papers we have counts for
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stat.ME2023★ 1 cited
Using Auxiliary Data to Boost Precision in the Analysis of A/B Tests on an Online Educational Platform: New Data and New Results
Adam C. Sales, Ethan B. Prihar, Johann A. Gagnon-Bartsch +1
Randomized A/B tests within online learning platforms represent an exciting direction in learning sciences. With minimal assumptions, they allow causal effect estimation without co…
cs.CL2023
Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions
Mengxue Zhang, Neil Heffernan, Andrew Lan
Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for…