AIBullisharXiv – CS AI · 6h ago6/10
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LaTA: A Drop-in, FERPA-Compliant Local-LLM Autograder for Upper-Division STEM Coursework
Researchers at Oregon State University developed LaTA, an open-source autograder that runs locally on institutional hardware to grade STEM assignments while maintaining FERPA compliance and eliminating data exposure risks. Deployed in a mechanical engineering course serving ~200 students, LaTA achieved a 0.02-0.04% error rate and correlated with 8-11% higher exam performance compared to traditionally-graded cohorts.