AINeutralarXiv – CS AI · 6h ago5/10
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Confidence-Aware Automated Assessment of Student-Drawn Scientific Models
Researchers developed an automated Vision Transformer-based system to score student-drawn scientific models, addressing the costly manual assessment burden in science education. The confidence-aware framework selectively automates scoring of high-confidence submissions while deferring uncertain cases to human reviewers, demonstrating improved reliability across NGSS-aligned assessments.