@inproceedings{tian-etal-2025-implementation,
title = "Implementation Considerations for Automated {AI} Grading of Student Work",
author = "Tian, Zewei and
Liu, Alex and
Esbenshade, Lief and
Sarkar, Shawon and
Zhang, Zachary and
He, Kevin and
Sun, Min",
editor = "Wilson, Joshua and
Ormerod, Christopher and
Beiting Parrish, Magdalen",
booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers",
month = oct,
year = "2025",
address = "Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States",
publisher = "National Council on Measurement in Education (NCME)",
url = "https://aclanthology.org/2025.aimecon-main.2/",
pages = "9--20",
ISBN = "979-8-218-84228-4",
abstract = "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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<abstract>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.</abstract>
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%0 Conference Proceedings
%T Implementation Considerations for Automated AI Grading of Student Work
%A Tian, Zewei
%A Liu, Alex
%A Esbenshade, Lief
%A Sarkar, Shawon
%A Zhang, Zachary
%A He, Kevin
%A Sun, Min
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
%D 2025
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-218-84228-4
%F tian-etal-2025-implementation
%X 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.
%U https://aclanthology.org/2025.aimecon-main.2/
%P 9-20
Markdown (Informal)
[Implementation Considerations for Automated AI Grading of Student Work](https://aclanthology.org/2025.aimecon-main.2/) (Tian et al., AIME-Con 2025)
ACL
- Zewei Tian, Alex Liu, Lief Esbenshade, Shawon Sarkar, Zachary Zhang, Kevin He, and Min Sun. 2025. Implementation Considerations for Automated AI Grading of Student Work. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 9–20, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).