EduNLP Lab
The EduNLP Lab is an interdisciplinary group of researchers and students working with Dr. Dora Demszky
We use Natural Language Processing (NLP) technology to empower teachers and students.
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.
Gather Evidence
We surface what works in learning environments with data science using NLP models.
We work to understand ways in which technology can be effective at facilitating better human interaction, better teaching and better student outcomes.
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.
Pilot Solutions
We implement these validated algorithms in tools that practitioners can use. These R&D tools support teachers to use research-based strategies and allow us to run tests and learn about how technologies can support human interaction and student success.
We are making contributions across these three areas in multiple projects and partnerships.
EduNLP Lab in the Media
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Stanford researchers use AI to push the boundaries of what’s possible
Scholars 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
A Stanford summit explored how K-12 educators are selecting, adapting, and critiquing AI tools for effective learning. -
Practitioner Voices Summit—Shaping the Future of AI in Math Education
We brought together 61 math educators from across the country to inform what AI research gets done in classrooms, and how.
