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COMPEDU: COMPUTATIONAL EDUCATION LAB

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We are a research lab in the computer science department @ Stanford University
working to improve the human learning experience.


ABOUT

This lab is a group of professors in the Computer Science department with a
common interest in advancing education using computer science techniques. We are
part of a greater mission at Stanford university, and beyond, to make high
quality, inclusive education more accessible to all. We work on a broad set of
projects including: AI to understand human learners, new ways to get humans to
learn from and teach each other, and better designs for learning experiences.


FACULTY & RESEARCH SCIENTISTS



Chris Piech


Chris Piech


Emma Brunskill


Emma Brunskill


John Mitchell


John Mitchell


Noah Goodman


Noah Goodman


James Landay


James Landay


Cynthia Lee


Cynthia Lee


Lisa Yan


Lisa Yan


JOIN US

Post Doc job: We are actively hiring Post Docs to work on a joint project
between the School of Education and the CS Department. See the full post doc ad.
We welcome applicants from anywhere in the world.

Stanford PhD student: If you are a Stanford PhD student in the CS department,
and you are interested in education please reach out to the professors.




NEWS & AWARDS

HAI Hoffman-Yee Grant Winner, 2020. AI Tutors for Creative Open-Ended Domains:
Readying Learners for the 21st century Workforce.
Best paper award, EDM 2020. Variational Item Response Theory: Fast, Accurate,
and Expressive.
Outstanding student paper award, AAAI 2019. Zero Shot Learning for Code
Education: Rubric Sampling with Deep Learning Inference.
Top ten papers of all time (#4), SIGCSE 2019. A Multi-institutional Study of
Peer Instruction in Introductory Computing.



HISTORY

The Stanford Computer Science department has a long history of contributing to
the field of education. Researchers in the department created the Coursera and
Udacity MOOC platforms, have contribued core ideas to AI for education,
including Deep Knowledge Tracing and Variational Item Response Theory, tools to
facilitate collaborative human learning and more.

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© Stanford 2020 | Website designed and maintined by Chris Piech.