@inproceedings{beigman-klebanov-etal-2025-towards,
    title = "Towards evaluating teacher discourse without task-specific fine-tuning data",
    author = "Beigman Klebanov, Beata  and
      Suhan, Michael  and
      Mikeska, Jamie N.",
    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/ingest-emnlp/2025.aimecon-main.21/",
    pages = "192--200",
    ISBN = "979-8-218-84228-4",
    abstract = "Teaching simulations with feedback are one way to provide teachers with practice opportunities to help improve their skill. We investigated methods to build evaluation models of teacher performance in leading a discussion in a simulated classroom, particularly for tasks with little performance data."
}