Helen Spencer Higgins
2026
EduCoder: An Open-Source Annotation System for Education Transcript Data
Saad Ashraf | Jim Malamut | Vishal Kumar | Guanzhong Pan | HyunJi Nam | Mei Tan | Lucía Langlois | Liliana Carolina Santos-Deonizio | Helen Spencer Higgins | Dorottya Demszky
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Saad Ashraf | Jim Malamut | Vishal Kumar | Guanzhong Pan | HyunJi Nam | Mei Tan | Lucía Langlois | Liliana Carolina Santos-Deonizio | Helen Spencer Higgins | Dorottya Demszky
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
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.