@inproceedings{takahashi-etal-2025-evaluating,
    title = "Evaluating the Reliability of Human{--}{AI} Collaborative Scoring of Written Arguments Using Rational Force Model",
    author = "Takahashi, Noriko  and
      Onuorah, Abraham  and
      Reznitskaya, Alina  and
      Chukharev, Evgeny  and
      Sykes, Ariel  and
      Flammia, Michele  and
      Oyler, Joe",
    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://preview.aclanthology.org/ingest-emnlp/2025.aimecon-wip.16/",
    pages = "135--140",
    ISBN = "979-8-218-84229-1",
    abstract = "This study aims to improve the reliability of a new AI collaborative scoring system used to assess the quality of students' written arguments. The system draws on the Rational Force Model and focuses on classifying the functional relation of each proposition in terms of support, opposition, acceptability, and relevance."
}