@inproceedings{wang-etal-2025-automated,
    title = "Automated Diagnosis of Students' Number Line Strategies for Fractions",
    author = "Wang, Zhizhi  and
      Zhang, Dake  and
      Li, Min  and
      Tao, Yuhan",
    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.21/",
    pages = "178--184",
    ISBN = "979-8-218-84229-1",
    abstract = "This study aims to develop and evaluate an AI-based platform that automatically grade and classify problem-solving strategies and error types in students' handwritten fraction representations involving number lines. The model development procedures, and preliminary evaluation results comparing with available LLMs and human expert annotations are reported."
}