@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://aclanthology.org/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."
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<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.</abstract>
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%0 Conference Proceedings
%T EduCoder: An Open-Source Annotation System for Education Transcript Data
%A Ashraf, Saad
%A Malamut, Jim
%A Kumar, Vishal
%A Pan, Guanzhong
%A Nam, HyunJi
%A Tan, Mei
%A Langlois, Lucía
%A Santos-Deonizio, Liliana Carolina
%A Higgins, Helen Spencer
%A Demszky, Dorottya
%Y Durrett, Greg
%Y Jian, Ping
%S Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, United States
%@ 979-8-89176-392-0
%F ashraf-etal-2026-educoder
%X 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.
%U https://aclanthology.org/2026.acl-demo.59/
%P 597-604
Markdown (Informal)
[EduCoder: An Open-Source Annotation System for Education Transcript Data](https://aclanthology.org/2026.acl-demo.59/) (Ashraf et al., ACL 2026)
ACL
- Saad Ashraf, Jim Malamut, Vishal Kumar, Guanzhong Pan, HyunJi Nam, Mei Tan, Lucía Langlois, Liliana Carolina Santos-Deonizio, Helen Spencer Higgins, and Dorottya Demszky. 2026. EduCoder: An Open-Source Annotation System for Education Transcript Data. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 597–604, San Diego, California, United States. Association for Computational Linguistics.