作者位次 #4/5ACL 2026Findings· Findings of ACL
Interpretability from the Ground Up: Stakeholder-Centric Design of Automated Scoring in Educational Assessments
Yunsung Kim · Michael Hardy · Joseph Tey · Candace Thille · Christopher J Piech
摘要
AI-driven automated scoring systems offer scalable and efficient means of evaluating complex student-generated responses. Yet, despite increasing demand for transparency and interpretability, the field has yet to develop a widely accepted solution for interpretable automated scoring to be used in...