AIED
When Can We Trust AI Coding of Student-Generated Text? A Committee-Based Approach to Diagnosing Agreement and Uncertainty at Scale
Mon Jun 29, 10:00 AM–10:15 AM · Room 104
Automated Assessment & Scoring Writing & Language Learning Generative AI & Large Language Models NLP & Discourse Analysis Learning at Scale & MOOCs
★ Notable speakers
Alyssa Friend Wise
★★
— Learning analytics design frameworks; discourse analysis; responsible/subversive learning analytics
A committee-based framework for diagnosing when AI coding of student text is trustworthy, managing uncertainty and disagreement at scale.
Authors
Fanjie Li, Madison Lee Mason, Daniel T. Levin, Alyssa Friend Wise