Interpretability from the Ground Up: Stakeholder-Centric Design of Automated Scoring in Educational Assessments
arXiv:2511.17069v3 Announce Type: replace
Abstract: 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 fie…