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cs.CL2025
Interpretability from the Ground Up: Stakeholder-Centric Design of Automated Scoring in Educational Assessments
Yunsung Kim, Mike Hardy, Joseph Tey +2
AI-driven automated scoring systems offer scalable and efficient means of evaluating complex student-generated responses. Yet, despite increasing demand for transparency and interp…
cs.CL2025
Measuring Teaching with LLMs
Michael Hardy
Objective and scalable measurement of teaching quality is a persistent challenge in education. While Large Language Models (LLMs) offer potential, general-purpose models have strug…