@inproceedings{ashraf-etal-2026-educoder,
    title = "{E}du{C}oder: An Open-Source Annotation System for Education Transcript Data",
    author = "Ashraf, Saad  and
      Malamut, Jim  and
      Kumar, Vishal  and
      Pan, Guanzhong  and
      Nam, HyunJi  and
      Tan, Mei  and
      Langlois, Luc{\'i}a  and
      Santos-Deonizio, Liliana Carolina  and
      Higgins, Helen Spencer  and
      Demszky, Dorottya",
    editor = "Durrett, Greg  and
      Jian, Ping",
    booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 3: System Demonstrations)",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.acl-demo.59/",
    pages = "597--604",
    ISBN = "979-8-89176-392-0",
    abstract = "We present EduCoder, an open-source web platform designed for annotating classroom conversation transcripts. Existing annotation tools do not support the team-based workflows or access to instructional context that education discourse research requires. EduCoder addresses these gaps by combining transcript text, synchronized video, and instructional materials within a single workspace. The platform supports scoping annotation to specific portions of a lesson, coordinating work across annotation teams, and optionally integrating LLM-generated annotations with structured human{--}LLM comparison. EduCoder is freely accessible at https://edu-coder.com."
}