6 citations · 7 across the 2 of their papers we have counts for
2 papers
stat.ML2024★ 1 cited
BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration
James Sharpnack, Kevin Hao, Phoebe Mulcaire +4
In this paper, we present a complete framework for quickly calibrating and administering a robust large-scale computerized adaptive test (CAT) with a small number of responses. Cal…
cs.CY2024★ 6 cited
Responsible AI for Test Equity and Quality: The Duolingo English Test as a Case Study
Jill Burstein, Geoffrey T. LaFlair, Kevin Yancey +2
Artificial intelligence (AI) creates opportunities for assessments, such as efficiencies for item generation and scoring of spoken and written responses. At the same time, it poses…