@inproceedings{pan-etal-2025-patterns,
    title = "Patterns of Inquiry, Scaffolding, and Interaction Profiles in Learner-{AI} Collaborative Math Problem-Solving",
    author = "Pan, Zilong  and
      Ba, Shen  and
      Jiang, Zilu  and
      Li, Chenglu",
    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.32/",
    pages = "297--305",
    ISBN = "979-8-218-84228-4",
    abstract = "This study investigates inquiry and scaffolding patterns between students and MathPal, a math AI agent, during problem-solving tasks. Using qualitative coding, lag sequential analysis, and Epistemic Network Analysis, the study identifies distinct interaction profiles, revealing how personalized AI feedback shapes student learning behaviors and inquiry dynamics in mathematics problem-solving activities."
}