Date
Publisher
arXiv
We introduce Edu-ConvoKit, an open-source library designed to handle
pre-processing, annotation and analysis of conversation data in education.
Resources for analyzing education conversation data are scarce, making the
research challenging to perform and therefore hard to access. We address these
challenges with Edu-ConvoKit. Edu-ConvoKit is open-source
(https://github.com/stanfordnlp/edu-convokit ), pip-installable
(https://pypi.org/project/edu-convokit/ ), with comprehensive documentation
(https://edu-convokit.readthedocs.io/en/latest/ ). Our demo video is available
at: https://youtu.be/zdcI839vAko?si=h9qlnl76ucSuXb8- . We include additional
resources, such as Colab applications of Edu-ConvoKit to three diverse
education datasets and a repository of Edu-ConvoKit related papers, that can be
found in our GitHub repository.
Study at a glance
- Question: How can an open-source tool make it easier to process, annotate, and analyze educational conversation data?
- Setting and data: Three diverse education datasets (further details not stated in the abstract).
- Method: Software tool development and demonstration on three datasets.
Why it matters
Resources for analyzing education conversation data are scarce, making research challenging to perform and hard to access.
Key findings
- Edu-ConvoKit provides an open-source tool designed to prepare, label, and analyze conversation data across educational settings.
- The software successfully processes and analyzes dialogue across three diverse educational datasets.
- Freely available code and documentation in Edu-ConvoKit help resolve the scarcity of accessible tools for educational conversation research.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who is the user?
Why use AI?
Study design
