@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://preview.aclanthology.org/name-variant-enfa-fane/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"
}