Papers tagged with: #machine-learning

7.5
assessment_design

Fighting Fire with Fire: On the Feasibility of Protecting Exercises Against AI Cheating

Tobias Braun, Jonas Grebe, Louis Rethfeld, Marcus Rohrbach · arXiv (2026) · doi:10.48550/arxiv.2608.01112 · gemini-3.1-flash-lite

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7.2
assessment_design

BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration

James Sharpnack, Kevin Hao, Phoebe Mulcaire, Klinton Bicknell, Geoff LaFlair, Kevin Yancey, Alina A. von Davier · arXiv (2024) · doi:10.48550/arxiv.2410.21033 · gemini-3.1-flash-lite

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