EduNLP Lab
Human connections come first.
We leverage technology to support, sustain and improve the human connections key to teaching and learning. We want educators to become the best educators they can be, to continuously improve, and to create transformative learning opportunities for all students.
Our work is at the cross section of education, computer science and linguistics. We are uniquely positioned to gather evidence, develop algorithms and pilot solutions.
Develop Algorithms
We construct frameworks for understanding data through co-design. We partner with domain experts to validate algorithms based on representative data samples then apply these measurement tools to our larger data sets to gain research insights.
We are making contributions across these three areas in multiple projects and partnerships.
EduNLP Lab in the Media
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The Linguistic Biases in Personalized Automated Writing Feedback
Jun 1, 2026PhD Candidate Mei Tan shares what we've learned about embedded stereotypes in LLM generated feedback. -
Stanford researchers use AI to push the boundaries of what’s possible
Sep 25, 2025Scholars across campus are leveraging AI to drive remarkable advancements, while fostering a cautious approach to the application of the technology. -
How Math Teachers Are Making Decisions About Using AI
Sep 15, 2025A Stanford summit explored how K-12 educators are selecting, adapting, and critiquing AI tools for effective learning.