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cs.CY2026
Consistently Good vs. Occasionally Great: A Rubric for Open-Ended Feedback Quality from Humans and Machines
Binglin Chen, Rajarshi Haldar, Max Fowler +2
Providing high-quality feedback on student work is essential for learning, yet delivering such feedback at scale remains challenging. In this paper, we focus on feedback for open-e…
cs.CY2026
Automated Grading of Handwritten Mathematics Using Vision-Capable LLMs
Jacob Levine, Miguel Aenlle, Craig Zilles +2
Automated grading systems have enabled scalable assessment for many response types, but handwritten mathematics remains a barrier due to the complexity of multi-step solutions. Vis…