专为教育对话转录文本设计的开源标注工具
EduCoder: An Open-Source Annotation System for Education Transcript Data
- 支持师生、生生互动的细粒度对话标注
- 可同时处理分类与开放式编码，提升标注灵活性
- 适合教育研究者与教学分析团队协作使用
我们提出EduCoder，一个针对教育对话转录文本的领域专用标注工具。现有通用文本标注工具难以应对教育对话中多样的师生与同伴互动复杂性。常见挑战包括定义复杂的教学特征代码本、支持分类与开放式编码，以及结合外部上下文（如教学目标、教学价值）对话语进行标注。EduCoder通过提供协作式代码本构建平台，集成分类与开放编码功能，并支持多标注者并行比对，便于校准与提升数据可靠性。系统开源，附有演示视频。
原文摘要 · Abstract (English)
We introduce EduCoder, a domain-specialized tool designed to support utterance-level annotation of educational dialogue. While general-purpose text annotation tools for NLP and qualitative research abound, few address the complexities of coding education dialogue transcripts -- with diverse teacher-student and peer interactions. Common challenges include defining codebooks for complex pedagogical features, supporting both open-ended and categorical coding, and contextualizing utterances with external features, such as the lesson's purpose and the pedagogical value of the instruction. EduCoder is designed to address these challenges by providing a platform for researchers and domain experts to collaboratively define complex codebooks based on observed data. It incorporates both categorical and open-ended annotation types along with contextual materials. Additionally, it offers a side-by-side comparison of multiple annotators' responses, allowing comparison and calibration of annotations with others to improve data reliability. The system is open-source, with a demo video available.
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