Scholar
Dorottya Demszky
Google Scholar ID: VpRea28AAAAJ
Assistant Professor, Stanford University
Citations & Impact
Citations
10,299
H-index
19
i10-index
22
Publications
20
Co-authors
104
list available
Contact
Publications
Resume (English only)
Academic Achievements
- The MathemaTikZ dataset received the inaugural best dataset prize at Learning at Scale!
- The NCTE classroom transcript dataset received the best IEDMS Publicly Available Educational Dataset Prize!
- Organized the Practitioner Voices Summit, hosting 60 teachers from 22 states to provide a platform for informing R&D related to AI in classrooms.
- Awarded a two-year grant from the Gates Foundation to build tools that support teachers and multilingual students in using mathematical language practices in classrooms & scaffolding curricula to meet student needs.
- Team led by Riz Malik won the 2024 Tools Competition with CoTeach.AI, a tool that helps teachers scaffold math curricula to meet diverse learner needs.
- Paper on evaluating ChatGPT for teacher coaching was selected as the Ambassador Paper at the BEA workshop, to be presented at AIED 2024.
- Awarded an NSF RAPID grant to understand how instructional coaches might best integrate automated feedback.
- Awarded a $70k seed grant from Stanford HAI to understand how AI might help adapt mathematics curricula to support students with diverse learning needs.
- Student Rose was selected to be a Rising Star in Data Science at the University of Chicago.
- Awarded a $100k grant from the Gates Foundation to develop equitable speech recognition systems for noisy classroom environments.
Research Experience
- Serves as the head of the EduNLP Lab, which focuses on research in education data science.
Education
- Received her PhD in Linguistics at Stanford University, advised by Dan Jurafsky, and her BA in Linguistics with a minor in Computer Science summa cum laude at Princeton University.
Background
- Assistant Professor in Education Data Science at the Stanford Graduate School of Education and in Computer Science (by courtesy). Her lab's research combines machine learning, natural language processing, linguistics, and input from practitioners to develop interpretable and scalable education measures. By deploying these measures, she aims to improve educational interventions, teachers' professional development, and the equity of curricular materials.
Miscellany
- Has deep thoughts on the social responsibility of edtech, as expressed in an HAI blog post.
