@inproceedings{firetto-etal-2025-ai,
title = "{AI}-Powered Coding of Elementary Students' Small-Group Discussions about Text",
author = "Firetto, Carla and
Murphy, P. Karen and
Yan, Lin and
Tang, Yue",
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.15/",
pages = "125--134",
ISBN = "979-8-218-84229-1",
abstract = "We report reliability and validity evidence for an AI-powered coding of 371 small-group discussion transcripts. Evidence via comparability and ground truth checks suggested high consistency between AI-produced and human-produced codes. Research in progress is also investigating reliability and validity of a new ``quality'' indicator to complement the current coding."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="firetto-etal-2025-ai">
<titleInfo>
<title>AI-Powered Coding of Elementary Students’ Small-Group Discussions about Text</title>
</titleInfo>
<name type="personal">
<namePart type="given">Carla</namePart>
<namePart type="family">Firetto</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">P</namePart>
<namePart type="given">Karen</namePart>
<namePart type="family">Murphy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Lin</namePart>
<namePart type="family">Yan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yue</namePart>
<namePart type="family">Tang</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>We report reliability and validity evidence for an AI-powered coding of 371 small-group discussion transcripts. Evidence via comparability and ground truth checks suggested high consistency between AI-produced and human-produced codes. Research in progress is also investigating reliability and validity of a new “quality” indicator to complement the current coding.</abstract>
<identifier type="citekey">firetto-etal-2025-ai</identifier>
<location>
<url>https://aclanthology.org/2025.aimecon-wip.15/</url>
</location>
<part>
<date>2025-10</date>
<extent unit="page">
<start>125</start>
<end>134</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T AI-Powered Coding of Elementary Students’ Small-Group Discussions about Text
%A Firetto, Carla
%A Murphy, P. Karen
%A Yan, Lin
%A Tang, Yue
%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 firetto-etal-2025-ai
%X We report reliability and validity evidence for an AI-powered coding of 371 small-group discussion transcripts. Evidence via comparability and ground truth checks suggested high consistency between AI-produced and human-produced codes. Research in progress is also investigating reliability and validity of a new “quality” indicator to complement the current coding.
%U https://aclanthology.org/2025.aimecon-wip.15/
%P 125-134
Markdown (Informal)
[AI-Powered Coding of Elementary Students’ Small-Group Discussions about Text](https://aclanthology.org/2025.aimecon-wip.15/) (Firetto et al., AIME-Con 2025)
ACL
- Carla Firetto, P. Karen Murphy, Lin Yan, and Yue Tang. 2025. AI-Powered Coding of Elementary Students’ Small-Group Discussions about Text. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 125–134, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).