@inproceedings{jiang-etal-2025-comparison,
title = "Comparison of {AI} and Human Scoring on A Visual Arts Assessment",
author = "Jiang, Ning and
Huang, Yue and
Chen, Jie",
editor = "Wilson, Joshua and
Ormerod, Christopher and
Beiting Parrish, Magdalen",
booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress",
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-wip.18/",
pages = "147--154",
ISBN = "979-8-218-84229-1",
abstract = "This study examines reliability and comparability of Generative AI scores versus human ratings on two performance tasks{---}text-based and drawing-based{---}in a fourth-grade visual arts assessment. Results show GPT-4 is consistent, aligned with humans but more lenient, and its agreement with humans is slightly lower than that between human raters."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="jiang-etal-2025-comparison">
<titleInfo>
<title>Comparison of AI and Human Scoring on A Visual Arts Assessment</title>
</titleInfo>
<name type="personal">
<namePart type="given">Ning</namePart>
<namePart type="family">Jiang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yue</namePart>
<namePart type="family">Huang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jie</namePart>
<namePart type="family">Chen</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2025-10</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress</title>
</titleInfo>
<name type="personal">
<namePart type="given">Joshua</namePart>
<namePart type="family">Wilson</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Christopher</namePart>
<namePart type="family">Ormerod</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Magdalen</namePart>
<namePart type="family">Beiting Parrish</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>National Council on Measurement in Education (NCME)</publisher>
<place>
<placeTerm type="text">Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-218-84229-1</identifier>
</relatedItem>
<abstract>This study examines reliability and comparability of Generative AI scores versus human ratings on two performance tasks—text-based and drawing-based—in a fourth-grade visual arts assessment. Results show GPT-4 is consistent, aligned with humans but more lenient, and its agreement with humans is slightly lower than that between human raters.</abstract>
<identifier type="citekey">jiang-etal-2025-comparison</identifier>
<location>
<url>https://aclanthology.org/2025.aimecon-wip.18/</url>
</location>
<part>
<date>2025-10</date>
<extent unit="page">
<start>147</start>
<end>154</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Comparison of AI and Human Scoring on A Visual Arts Assessment
%A Jiang, Ning
%A Huang, Yue
%A Chen, Jie
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
%D 2025
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-218-84229-1
%F jiang-etal-2025-comparison
%X This study examines reliability and comparability of Generative AI scores versus human ratings on two performance tasks—text-based and drawing-based—in a fourth-grade visual arts assessment. Results show GPT-4 is consistent, aligned with humans but more lenient, and its agreement with humans is slightly lower than that between human raters.
%U https://aclanthology.org/2025.aimecon-wip.18/
%P 147-154
Markdown (Informal)
[Comparison of AI and Human Scoring on A Visual Arts Assessment](https://aclanthology.org/2025.aimecon-wip.18/) (Jiang et al., AIME-Con 2025)
ACL
- Ning Jiang, Yue Huang, and Jie Chen. 2025. Comparison of AI and Human Scoring on A Visual Arts Assessment. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 147–154, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).