@inproceedings{burstein-etal-2025-exploring,
title = "Exploring {AI}-Enabled Test Practice, Affect, and Test Outcomes in Language Assessment",
author = "Burstein, Jill and
Cardwell, Ramsey and
Chuang, Ping-Lin and
Michalowski, Allison and
Nydick, Steven",
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.7/",
pages = "50--57",
ISBN = "979-8-218-84228-4",
abstract = "We analyzed data from 25,969 test takers of a high-stakes, computer-adaptive English proficiency test to examine relationships between repeated use of AI-generated practice tests and performance, affect, and score-sharing behavior. Taking 1{--}3 practice tests was associated with higher scores and confidence, while higher usage showed different engagement and outcome"
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<abstract>We analyzed data from 25,969 test takers of a high-stakes, computer-adaptive English proficiency test to examine relationships between repeated use of AI-generated practice tests and performance, affect, and score-sharing behavior. Taking 1–3 practice tests was associated with higher scores and confidence, while higher usage showed different engagement and outcome</abstract>
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%0 Conference Proceedings
%T Exploring AI-Enabled Test Practice, Affect, and Test Outcomes in Language Assessment
%A Burstein, Jill
%A Cardwell, Ramsey
%A Chuang, Ping-Lin
%A Michalowski, Allison
%A Nydick, Steven
%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 burstein-etal-2025-exploring
%X We analyzed data from 25,969 test takers of a high-stakes, computer-adaptive English proficiency test to examine relationships between repeated use of AI-generated practice tests and performance, affect, and score-sharing behavior. Taking 1–3 practice tests was associated with higher scores and confidence, while higher usage showed different engagement and outcome
%U https://aclanthology.org/2025.aimecon-main.7/
%P 50-57
Markdown (Informal)
[Exploring AI-Enabled Test Practice, Affect, and Test Outcomes in Language Assessment](https://aclanthology.org/2025.aimecon-main.7/) (Burstein et al., AIME-Con 2025)
ACL
- Jill Burstein, Ramsey Cardwell, Ping-Lin Chuang, Allison Michalowski, and Steven Nydick. 2025. Exploring AI-Enabled Test Practice, Affect, and Test Outcomes in Language Assessment. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 50–57, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).