Lief Esbenshade

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2025

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Implementation Considerations for Automated AI Grading of Student Work
Zewei Tian | Alex Liu | Lief Esbenshade | Shawon Sarkar | Zachary Zhang | Kevin He | Min Sun
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers

19 K-12 teachers participated in a co-design pilot study of an AI education platform, testing assessment grading. Teachers valued AI’s rapid narrative feedback for formative assessment but distrusted automated scoring, preferring human oversight. Students appreciated immediate feedback but remained skeptical of AI-only grading, highlighting needs for trustworthy, teacher-centered AI tools.
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